NRD_2017_Defining_Cohort_SP.ipynb

{
 "cells": [
  {
   "source": [
    "# Table of Contents <a class=\"anchor\" id=\"contents\"></a>\n",
    "\n",
    "## [Required User Input: Path to Data](#requiredinput)\n",
    "\n",
    "* [Importing Data](#import)\n",
    "* [Capturing Patients Who Only Have IBD Related Diagnoses](#ibdpatientsonly)\n",
    "* [Only Keep Adults in the Cohort](#adultpatientsonly)\n",
    "* [Patients Who Had an IBD Related Discharge in the First 6 Months](#sixmonthibd)\n",
    "* [Total Patients, Unique Patients, Total Hospitalizations](#totals)\n",
    "* [Creating Additional Columns](#newcolumns)\n",
    "    * [ibd_diagnosis](#ibddiagnosis)\n",
    "    * [ibd_index_hospitalization](#indexhosp)\n",
    "    * [Function: ICD-10 to Column](#icdtocolumn)\n",
    "    * [Defining Column Lists and Clearing NaNs in Procedure Columns](#columnlists)\n",
    "    * [Diagnosis Codes](#diagnosiscodes)\n",
    "    * [Additional Columns for Validation Testing](#validation)\n",
    "    * [Split Admission Reasons](#split)\n",
    "    * [Revise cc_severity to Reflect 2013 Data](#reviseccseverity)\n",
    "    * [Procedure Codes](#procedurecodes)\n",
    "* [Calculated Fields](#calculated)\n",
    "    * [Function: Follow Up Diagnoses/Procedures](#follow)\n",
    "    * [Follow Up Diagnosis/Procedure Columns](#followupcolumns)\n",
    "    * [severe_ibd_hospitalization, tot_admits_for_pt, tot_hosp_charges_for_pt, tot_los_pt](#severe)\n",
    "    * [cd_patients_only, uc_patients_only](#cduc)\n",
    "    * [readm_thirty_days, readm_ninety_days](#readmit)\n",
    "    * [tot_proc_for_pt, total_surg_for_pt](#procsurg)\n",
    "    * [mental_health_opiate_for_pt](#mentalhealth)\n",
    "    * [readm_during_fu, days_to_first_readm_during_fu, alive_fu_time](#readmitfu)\n",
    "    * [tot_los_per_alive_fu_pt](#totlos)\n",
    "    * [deciles_tot_los_per_alive_fu_pt](#deciles)\n",
    "    * [hnhc](#hnhc)\n",
    "    * [payer](#payer)\n",
    "    * [hosp_urban_rural_location](#hospurban)\n",
    "    * [ibd_specific_adm](#ibdspecificadm)\n",
    "    * [cm_depress](#cmdepress)\n",
    "    * [ibd_procedures](#ibdprocedures)\n",
    "    * [cdiff_infections](#cdiff)\n",
    "* [Clean Up Unnecessary Columns](#cleanup)\n",
    "* [Save File](#save)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Importing Data <a class=\"anchor\" id=\"import\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import dependencies.\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import dask.dataframe as dd\n",
    "from tqdm.auto import tqdm\n",
    "from timeit import default_timer as timer\n",
    "import getpass\n",
    "pd.set_option('display.max_columns', 500)\n",
    "pd.set_option('display.max_rows', 5000)"
   ]
  },
  {
   "source": [
    "# Required User Input: Path to Data <a class=\"anchor\" id=\"requiredinput\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Start the timer.\n",
    "start = timer()\n",
    "\n",
    "# Get the current user's computer name.\n",
    "pc_name = getpass.getuser()\n",
    "\n",
    "######################\n",
    "'''SET PATH TO DATA'''\n",
    "######################\n",
    "# Set path to files and read in the CSV file. Use dtyping to save memory and use dask for efficiency.\n",
    "path = f'C:/Users/{pc_name}/Desktop/VA_ML_Research/UCSD_NRD_2017'\n",
    "\n",
    "core_file = dd.read_csv(f\"{path}/data/Nghia_NRD_2017.csv\", dtype={'age':'float16', 'aweekend':'float16', 'died':'float16', 'discwt':'float64', 'dispuniform':'float16', 'dmonth':'float16', 'dqtr':'float16', 'drg':'float16', 'drgver':'float16', 'drg_nopoa':'float16', 'i10_dx1':'string', 'i10_dx2':'string', 'i10_dx3':'string', 'i10_dx4':'string', 'i10_dx5':'string', 'i10_dx6':'string', 'i10_dx7':'string', 'i10_dx8':'string', 'i10_dx9':'string', 'i10_dx10':'string', 'i10_dx11':'string', 'i10_dx12':'string', 'i10_dx13':'string', 'i10_dx14':'string', 'i10_dx15':'string', 'i10_dx16':'string', 'i10_dx17':'string', 'i10_dx18':'string', 'i10_dx19':'string', 'i10_dx20':'string', 'i10_dx21':'string', 'i10_dx22':'string','i10_dx23':'string','i10_dx24':'string', 'i10_dx25':'string','i10_dx26':'string','i10_dx27':'string','i10_dx28':'string','i10_dx29':'string', 'i10_dx30':'string', 'i10_dx31':'string', 'i10_dx32':'string', 'i10_dx33':'string', 'i10_dx34':'string', 'i10_dx35':'string', 'i10_dx36':'string', 'i10_dx37':'string', 'i10_dx38':'string', 'i10_dx39':'string', 'i10_dx40':'string', 'elective':'float16', 'female':'float16', 'hcup_ed':'float16', 'hosp_nrd':'float64', 'los': 'float16', 'mdc':'float16', 'mdc_nopoa':'float16', 'i10_ndx':'float16', 'i10_npr':'float16', 'nrd_daystoevent':'float64', 'nrd_stratum':'float16', 'nrd_visitlink':'string', 'pay1':'float16', 'pl_nchs':'float16', 'i10_pr1':'string', 'i10_pr2':'string', 'i10_pr3':'string', 'i10_pr4':'string', 'i10_pr5':'string', 'i10_pr6':'string', 'i10_pr7':'string', 'i10_pr8':'string', 'i10_pr9':'string', 'i10_pr10':'string', 'i10_pr11':'string', 'i10_pr12':'string', 'i10_pr13':'string', 'i10_pr14':'string', 'i10_pr15':'string', 'i10_pr16':'string', 'i10_pr17':'string', 'i10_pr18':'string', 'i10_pr19':'string', 'i10_pr20':'string', 'i10_pr21':'string', 'i10_pr22':'string', 'i10_pr23':'string', 'i10_pr24':'string', 'i10_pr25':'string', 'prday1':'float16', 'prday2':'float16', 'prday3':'float16', 'prday4':'float16', 'prday5':'float16', 'prday6':'float16', 'prday7':'float16', 'prday8':'float16', 'prday9':'float16', 'prday10':'float16', 'prday11':'float16', 'prday12':'float16', 'prday13':'float16', 'prday14':'float16', 'prday15':'float16', 'prday16':'float16', 'prday17':'float16', 'prday18':'float16', 'prday19':'float16', 'prday20':'float16', 'prday21':'float16', 'prday22':'float16', 'prday23':'float16', 'prday24':'float16', 'prday25':'float16', 'rehabtransfer':'float16', 'resident':'float16', 'samedayevent':'float16', 'totchg':'float64', 'year':'float16', 'zipinc_qrtl':'float16', 'dxver':'float16', 'prver':'float16', 'preventable_readmission':'float16', 'prev_readm_reason':'float16', 'medical_admission':'float16', 'hfrs_score':'float16', 'hfrs_severity':'float16', 'cc_score':'float16', 'cc_severity':'float16'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "        key_nrd   age  aweekend  died    discwt  dispuniform  dmonth  dqtr  \\\n",
       "0  2.017131e+11  90.0       0.0   0.0  1.763376          5.0     1.0   1.0   \n",
       "1  2.017084e+11  44.0       0.0   0.0  1.940491          1.0     9.0   3.0   \n",
       "2  2.017165e+11  18.0       0.0   0.0  2.032179          6.0     4.0   2.0   \n",
       "3  2.017003e+11  63.0       0.0   0.0  1.728353          1.0     5.0   2.0   \n",
       "4  2.017173e+11  54.0       0.0   0.0  1.515596          1.0     1.0   1.0   \n",
       "\n",
       "     drg  drgver  drg_nopoa  i10_dx1  i10_dx2 i10_dx3 i10_dx4 i10_dx5 i10_dx6  \\\n",
       "0  641.0    34.0      641.0     E876      I10   I4891    D649    K219    E039   \n",
       "1  989.0    34.0      989.0  S0269XA  S0266XA    <NA>    <NA>    <NA>    <NA>   \n",
       "2  765.0    34.0      765.0  O6014X0     A408    F329   O9081    F419     N12   \n",
       "3  644.0    34.0      644.0     E222    K7010     I10     R51    Y905    E876   \n",
       "4   69.0    34.0       69.0     G459     E039  Z91013  Z87891   Z8673   R2681   \n",
       "\n",
       "  i10_dx7 i10_dx8 i10_dx9 i10_dx10 i10_dx11 i10_dx12 i10_dx13 i10_dx14  \\\n",
       "0    G309   F0280    F329    M1990     E440     I252     <NA>     <NA>   \n",
       "1    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2  Z87891     O76  O99344      D62    Z3A35     O753     Z370     <NA>   \n",
       "3  F10230    <NA>    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4   Z7982    I951   Z6835     E669    E7800     Z888     F329   Z85819   \n",
       "\n",
       "  i10_dx15 i10_dx16 i10_dx17 i10_dx18 i10_dx19 i10_dx20 i10_dx21 i10_dx22  \\\n",
       "0     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "  i10_dx23 i10_dx24 i10_dx25 i10_dx26 i10_dx27 i10_dx28 i10_dx29 i10_dx30  \\\n",
       "0     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "  i10_dx31 i10_dx32 i10_dx33 i10_dx34 i10_dx35 i10_dx36 i10_dx37 i10_dx38  \\\n",
       "0     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "  i10_dx39 i10_dx40  elective  female  hcup_ed  hosp_nrd_x  los   mdc  \\\n",
       "0     <NA>     <NA>       0.0     1.0      0.0     43871.0  4.0  10.0   \n",
       "1     <NA>     <NA>       0.0     1.0      1.0     42425.0  0.0   3.0   \n",
       "2     <NA>     <NA>       1.0     1.0      0.0     42717.0  3.0  14.0   \n",
       "3     <NA>     <NA>       0.0     0.0      2.0     43368.0  3.0  10.0   \n",
       "4     <NA>     <NA>       0.0     0.0      1.0     41953.0  1.0   1.0   \n",
       "\n",
       "   mdc_nopoa  i10_ndx  i10_npr  nrd_daystoevent  nrd_stratum_x nrd_visitlink  \\\n",
       "0       10.0     12.0      0.0          15886.0          458.0       e000029   \n",
       "1        3.0      2.0      1.0          19084.0          435.0       e00008o   \n",
       "2       14.0     13.0      2.0          21265.0          421.0       e00009m   \n",
       "3       10.0      7.0      2.0          14285.0          447.0       e0000et   \n",
       "4        1.0     14.0      0.0          21295.0          439.0       e0000tb   \n",
       "\n",
       "   pay1  pl_nchs  i10_pr1  i10_pr2 i10_pr3 i10_pr4 i10_pr5 i10_pr6 i10_pr7  \\\n",
       "0   1.0      3.0     <NA>     <NA>    <NA>    <NA>    <NA>    <NA>    <NA>   \n",
       "1   3.0      2.0  0JQ10ZZ     <NA>    <NA>    <NA>    <NA>    <NA>    <NA>   \n",
       "2   2.0      3.0  10907ZC  10D00Z1    <NA>    <NA>    <NA>    <NA>    <NA>   \n",
       "3   2.0      3.0  B5181ZA  02HV33Z    <NA>    <NA>    <NA>    <NA>    <NA>   \n",
       "4   2.0      1.0     <NA>     <NA>    <NA>    <NA>    <NA>    <NA>    <NA>   \n",
       "\n",
       "  i10_pr8 i10_pr9 i10_pr10 i10_pr11 i10_pr12 i10_pr13 i10_pr14 i10_pr15  \\\n",
       "0    <NA>    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1    <NA>    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2    <NA>    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3    <NA>    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4    <NA>    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "  i10_pr16 i10_pr17 i10_pr18 i10_pr19 i10_pr20 i10_pr21 i10_pr22 i10_pr23  \\\n",
       "0     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "  i10_pr24 i10_pr25  prday1  prday2  prday3  prday4  prday5  prday6  prday7  \\\n",
       "0     <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "1     <NA>     <NA>     0.0     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "2     <NA>     <NA>     0.0     0.0     NaN     NaN     NaN     NaN     NaN   \n",
       "3     <NA>     <NA>     1.0     1.0     NaN     NaN     NaN     NaN     NaN   \n",
       "4     <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "\n",
       "   prday8  prday9  prday10  prday11  prday12  prday13  prday14  prday15  \\\n",
       "0     NaN     NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "1     NaN     NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2     NaN     NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "3     NaN     NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "4     NaN     NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "\n",
       "   prday16  prday17  prday18  prday19  prday20  prday21  prday22  prday23  \\\n",
       "0      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "1      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "3      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "4      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "\n",
       "   prday24  prday25  rehabtransfer  resident  samedayevent   totchg  year_x  \\\n",
       "0      NaN      NaN            0.0       1.0           0.0   6142.0  2017.0   \n",
       "1      NaN      NaN            0.0       1.0           0.0   4211.0  2017.0   \n",
       "2      NaN      NaN            0.0       1.0           0.0  58555.0  2017.0   \n",
       "3      NaN      NaN            0.0       1.0           0.0  43300.0  2017.0   \n",
       "4      NaN      NaN            0.0       1.0           0.0   9837.0  2017.0   \n",
       "\n",
       "   zipinc_qrtl  dxver  prver  hosp_bedsize  h_contrl  hosp_urcat4  \\\n",
       "0          3.0   10.0   10.0           1.0       2.0          2.0   \n",
       "1          2.0   10.0   10.0           3.0       2.0          1.0   \n",
       "2          1.0   10.0   10.0           2.0       2.0          2.0   \n",
       "3          3.0   10.0   10.0           3.0       2.0          2.0   \n",
       "4          1.0   10.0   10.0           2.0       3.0          1.0   \n",
       "\n",
       "   hosp_ur_teach  nrd_stratum_y  n_disc_u  n_hosp_u  s_disc_u  s_hosp_u  \\\n",
       "0            1.0            458    283276        40    141746        26   \n",
       "1            1.0            435   2849102        73   1360786        41   \n",
       "2            1.0            421    349296        21    172096        12   \n",
       "3            1.0            447    636191        24    332444        15   \n",
       "4            1.0            439   1153149        66    687853        45   \n",
       "\n",
       "   total_disc  year_y  aprdrg  aprdrg_risk_mortality  aprdrg_severity  \\\n",
       "0        3527    2017   425.0                    2.0              2.0   \n",
       "1       19512    2017   952.0                    1.0              1.0   \n",
       "2       16190    2017   540.0                    1.0              3.0   \n",
       "3       14775    2017   426.0                    1.0              1.0   \n",
       "4       11152    2017    47.0                    1.0              1.0   \n",
       "\n",
       "   hosp_nrd_y  next_nrdday  days_to_readmission  index_admission  \\\n",
       "0     43871.0          NaN                  NaN                1   \n",
       "1     42425.0          NaN                  NaN                1   \n",
       "2     42717.0          NaN                  NaN                1   \n",
       "3     43368.0          NaN                  NaN                1   \n",
       "4     41953.0          NaN                  NaN                1   \n",
       "\n",
       "  readmission_diagnosis  readmission_los  preventable_admission  pqi_1  pqi_3  \\\n",
       "0                   NaN              NaN                    0.0    0.0    0.0   \n",
       "1                   NaN              NaN                    0.0    0.0    0.0   \n",
       "2                   NaN              NaN                    0.0    0.0    0.0   \n",
       "3                   NaN              NaN                    0.0    0.0    0.0   \n",
       "4                   NaN              NaN                    0.0    0.0    0.0   \n",
       "\n",
       "   pqi_5  pqi_7  pqi_8  pqi_11  pqi_12  pqi_14  pqi_15  pqi_16  \\\n",
       "0    0.0    0.0    0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "1    0.0    0.0    0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "2    0.0    0.0    0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "3    0.0    0.0    0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "4    0.0    0.0    0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "\n",
       "   pqi_5_15_exclusion  pqi_7_medical_exclusions  pqi_7_procedural_exclusion  \\\n",
       "0                 0.0                       0.0                         0.0   \n",
       "1                 0.0                       0.0                         0.0   \n",
       "2                 0.0                       0.0                         0.0   \n",
       "3                 0.0                       0.0                         0.0   \n",
       "4                 0.0                       0.0                         0.0   \n",
       "\n",
       "   pqi_7_8_procedural_exclusion  pqi_11_exclusion  pqi_12_exclusion  \\\n",
       "0                           0.0               0.0               0.0   \n",
       "1                           0.0               0.0               0.0   \n",
       "2                           0.0               0.0               0.0   \n",
       "3                           0.0               0.0               0.0   \n",
       "4                           0.0               0.0               0.0   \n",
       "\n",
       "   pqi_immunocompromise_medical_exclusion  \\\n",
       "0                                     0.0   \n",
       "1                                     0.0   \n",
       "2                                     0.0   \n",
       "3                                     0.0   \n",
       "4                                     0.0   \n",
       "\n",
       "   pqi_immunocompromise_procedural_exclusion  pqi_16_exclusion_procedure  \\\n",
       "0                                        0.0                         0.0   \n",
       "1                                        0.0                         0.0   \n",
       "2                                        0.0                         0.0   \n",
       "3                                        0.0                         0.0   \n",
       "4                                        0.0                         0.0   \n",
       "\n",
       "   pqi_16_amputation_procedure  medical_admission  hfrs_score  hfrs_severity  \\\n",
       "0                          0.0                1.0    8.703125            1.0   \n",
       "1                          0.0                0.0    0.000000            0.0   \n",
       "2                          0.0                0.0    2.000000            0.0   \n",
       "3                          0.0                1.0    3.000000            0.0   \n",
       "4                          0.0                1.0    7.898438            1.0   \n",
       "\n",
       "   cc_score  cc_severity  cc_MI  cc_CHF  cc_PVD  cc_CVD  cc_dementia  cc_COPD  \\\n",
       "0       2.0          0.0      1       0       0       0            1        0   \n",
       "1       0.0          0.0      0       0       0       0            0        0   \n",
       "2       0.0          0.0      0       0       0       0            0        0   \n",
       "3       1.0          0.0      0       0       0       0            0        0   \n",
       "4       1.0          0.0      0       0       0       1            0        0   \n",
       "\n",
       "   cc_rheum  cc_peptic_ulcer  cc_mild_liver_disease  \\\n",
       "0         0                0                      0   \n",
       "1         0                0                      0   \n",
       "2         0                0                      0   \n",
       "3         0                0                      1   \n",
       "4         0                0                      0   \n",
       "\n",
       "   cc_diabetes_wo_complications  cc_diabetes_w_complications  cc_plegia  \\\n",
       "0                             0                            0          0   \n",
       "1                             0                            0          0   \n",
       "2                             0                            0          0   \n",
       "3                             0                            0          0   \n",
       "4                             0                            0          0   \n",
       "\n",
       "   cc_renal  cc_malignancy  cc_severe_liver  cc_metastasis  cc_AIDS  \n",
       "0         0              0                0              0        0  \n",
       "1         0              0                0              0        0  \n",
       "2         0              0                0              0        0  \n",
       "3         0              0                0              0        0  \n",
       "4         0              0                0              0        0  "
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>key_nrd</th>\n      <th>age</th>\n      <th>aweekend</th>\n      <th>died</th>\n      <th>discwt</th>\n      <th>dispuniform</th>\n      <th>dmonth</th>\n      <th>dqtr</th>\n      <th>drg</th>\n      <th>drgver</th>\n      <th>drg_nopoa</th>\n      <th>i10_dx1</th>\n      <th>i10_dx2</th>\n      <th>i10_dx3</th>\n      <th>i10_dx4</th>\n      <th>i10_dx5</th>\n      <th>i10_dx6</th>\n      <th>i10_dx7</th>\n      <th>i10_dx8</th>\n      <th>i10_dx9</th>\n      <th>i10_dx10</th>\n      <th>i10_dx11</th>\n      <th>i10_dx12</th>\n      <th>i10_dx13</th>\n      <th>i10_dx14</th>\n      <th>i10_dx15</th>\n   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 <th>i10_pr2</th>\n      <th>i10_pr3</th>\n      <th>i10_pr4</th>\n      <th>i10_pr5</th>\n      <th>i10_pr6</th>\n      <th>i10_pr7</th>\n      <th>i10_pr8</th>\n      <th>i10_pr9</th>\n      <th>i10_pr10</th>\n      <th>i10_pr11</th>\n      <th>i10_pr12</th>\n      <th>i10_pr13</th>\n      <th>i10_pr14</th>\n      <th>i10_pr15</th>\n      <th>i10_pr16</th>\n      <th>i10_pr17</th>\n      <th>i10_pr18</th>\n      <th>i10_pr19</th>\n      <th>i10_pr20</th>\n      <th>i10_pr21</th>\n      <th>i10_pr22</th>\n      <th>i10_pr23</th>\n      <th>i10_pr24</th>\n      <th>i10_pr25</th>\n      <th>prday1</th>\n      <th>prday2</th>\n      <th>prday3</th>\n      <th>prday4</th>\n      <th>prday5</th>\n      <th>prday6</th>\n      <th>prday7</th>\n      <th>prday8</th>\n      <th>prday9</th>\n      <th>prday10</th>\n      <th>prday11</th>\n      <th>prday12</th>\n      <th>prday13</th>\n      <th>prday14</th>\n      <th>prday15</th>\n      <th>prday16</th>\n      <th>prday17</th>\n      <th>prday18</th>\n      <th>prday19</th>\n      <th>prday20</th>\n      <th>prday21</th>\n      <th>prday22</th>\n      <th>prday23</th>\n      <th>prday24</th>\n      <th>prday25</th>\n      <th>rehabtransfer</th>\n      <th>resident</th>\n      <th>samedayevent</th>\n      <th>totchg</th>\n      <th>year_x</th>\n      <th>zipinc_qrtl</th>\n      <th>dxver</th>\n      <th>prver</th>\n      <th>hosp_bedsize</th>\n      <th>h_contrl</th>\n      <th>hosp_urcat4</th>\n      <th>hosp_ur_teach</th>\n      <th>nrd_stratum_y</th>\n      <th>n_disc_u</th>\n      <th>n_hosp_u</th>\n      <th>s_disc_u</th>\n      <th>s_hosp_u</th>\n      <th>total_disc</th>\n      <th>year_y</th>\n      <th>aprdrg</th>\n      <th>aprdrg_risk_mortality</th>\n      <th>aprdrg_severity</th>\n      <th>hosp_nrd_y</th>\n      <th>next_nrdday</th>\n      <th>days_to_readmission</th>\n      <th>index_admission</th>\n      <th>readmission_diagnosis</th>\n      <th>readmission_los</th>\n      <th>preventable_admission</th>\n      <th>pqi_1</th>\n      <th>pqi_3</th>\n      <th>pqi_5</th>\n      <th>pqi_7</th>\n      <th>pqi_8</th>\n      <th>pqi_11</th>\n      <th>pqi_12</th>\n      <th>pqi_14</th>\n      <th>pqi_15</th>\n      <th>pqi_16</th>\n      <th>pqi_5_15_exclusion</th>\n      <th>pqi_7_medical_exclusions</th>\n      <th>pqi_7_procedural_exclusion</th>\n      <th>pqi_7_8_procedural_exclusion</th>\n      <th>pqi_11_exclusion</th>\n      <th>pqi_12_exclusion</th>\n      <th>pqi_immunocompromise_medical_exclusion</th>\n      <th>pqi_immunocompromise_procedural_exclusion</th>\n      <th>pqi_16_exclusion_procedure</th>\n      <th>pqi_16_amputation_procedure</th>\n      <th>medical_admission</th>\n      <th>hfrs_score</th>\n      <th>hfrs_severity</th>\n      <th>cc_score</th>\n      <th>cc_severity</th>\n      <th>cc_MI</th>\n      <th>cc_CHF</th>\n      <th>cc_PVD</th>\n      <th>cc_CVD</th>\n      <th>cc_dementia</th>\n      <th>cc_COPD</th>\n      <th>cc_rheum</th>\n      <th>cc_peptic_ulcer</th>\n      <th>cc_mild_liver_disease</th>\n      <th>cc_diabetes_wo_complications</th>\n      <th>cc_diabetes_w_complications</th>\n      <th>cc_plegia</th>\n      <th>cc_renal</th>\n      <th>cc_malignancy</th>\n      <th>cc_severe_liver</th>\n      <th>cc_metastasis</th>\n      <th>cc_AIDS</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2.017131e+11</td>\n      <td>90.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.763376</td>\n      <td>5.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>641.0</td>\n      <td>34.0</td>\n      <td>641.0</td>\n      <td>E876</td>\n      <td>I10</td>\n      <td>I4891</td>\n      <td>D649</td>\n      <td>K219</td>\n      <td>E039</td>\n      <td>G309</td>\n      <td>F0280</td>\n      <td>F329</td>\n      <td>M1990</td>\n      <td>E440</td>\n      <td>I252</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      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 <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2.017165e+11</td>\n      <td>18.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.032179</td>\n      <td>6.0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>765.0</td>\n      <td>34.0</td>\n      <td>765.0</td>\n      <td>O6014X0</td>\n      <td>A408</td>\n      <td>F329</td>\n      <td>O9081</td>\n      <td>F419</td>\n      <td>N12</td>\n      <td>Z87891</td>\n      <td>O76</td>\n      <td>O99344</td>\n      <td>D62</td>\n      <td>Z3A35</td>\n      <td>O753</td>\n      <td>Z370</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>42717.0</td>\n      <td>3.0</td>\n      <td>14.0</td>\n      <td>14.0</td>\n      <td>13.0</td>\n      <td>2.0</td>\n      <td>21265.0</td>\n      <td>421.0</td>\n      <td>e00009m</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>10907ZC</td>\n      <td>10D00Z1</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>58555.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>421</td>\n      <td>349296</td>\n      <td>21</td>\n      <td>172096</td>\n      <td>12</td>\n      <td>16190</td>\n      <td>2017</td>\n      <td>540.0</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>42717.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2.017003e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.728353</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>2.0</td>\n      <td>644.0</td>\n      <td>34.0</td>\n      <td>644.0</td>\n      <td>E222</td>\n      <td>K7010</td>\n      <td>I10</td>\n      <td>R51</td>\n      <td>Y905</td>\n      <td>E876</td>\n      <td>F10230</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>43368.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>7.0</td>\n      <td>2.0</td>\n      <td>14285.0</td>\n      <td>447.0</td>\n      <td>e0000et</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>B5181ZA</td>\n      <td>02HV33Z</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>43300.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>447</td>\n      <td>636191</td>\n      <td>24</td>\n      <td>332444</td>\n      <td>15</td>\n      <td>14775</td>\n      <td>2017</td>\n      <td>426.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>43368.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>3.000000</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2.017173e+11</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.515596</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>69.0</td>\n      <td>34.0</td>\n      <td>69.0</td>\n      <td>G459</td>\n      <td>E039</td>\n      <td>Z91013</td>\n      <td>Z87891</td>\n      <td>Z8673</td>\n      <td>R2681</td>\n      <td>Z7982</td>\n      <td>I951</td>\n      <td>Z6835</td>\n      <td>E669</td>\n      <td>E7800</td>\n      <td>Z888</td>\n      <td>F329</td>\n      <td>Z85819</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>41953.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>14.0</td>\n      <td>0.0</td>\n      <td>21295.0</td>\n      <td>439.0</td>\n      <td>e0000tb</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>9837.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>439</td>\n      <td>1153149</td>\n      <td>66</td>\n      <td>687853</td>\n      <td>45</td>\n      <td>11152</td>\n      <td>2017</td>\n      <td>47.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>41953.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>7.898438</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "source": [
    "# Take a quick look at the file structure.\n",
    "core_file.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Capturing Patients Who Only Have IBD Related Diagnoses <a class=\"anchor\" id=\"ibdpatientsonly\"></a>\n",
    "### - only keep patients if they had an ibd related diagnosis in the first 5 diagnoses columns (i10_dx1 - i10_dx5)\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a list of column names\n",
    "column_list = core_file.columns.to_list()\n",
    "\n",
    "# This dictionary holds the fill in values for any blanks or NaN's in the data for the columns beginning with 'i10_dx'.\n",
    "# If there is no discharge diagnosis, it will be filled in with a value of '' so we can iterate through the rows without any errors below for NaN's.\n",
    "fill_values = {}\n",
    "\n",
    "# i10_dx_columns will hold the column's numerical position, example: i10_dx1 is the 10th column (starting from 0).\n",
    "# This will be used later to loop through the diagnosis columns specifically.\n",
    "i10_dx_columns = []\n",
    "\n",
    "# copy_columns will hold a list of columns that begin with 'i10_dx', initiate with nrd_visitlink since we need that as well.\n",
    "copy_columns = ['nrd_visitlink']\n",
    "\n",
    "# counter initialized at 1 because we have 1 item already in the copy_columns list.\n",
    "counter = 1\n",
    "\n",
    "# This loop goes through the columns in the core_file dataframe, finds the columns beginning with 'i10_dx', adds them to the dictionary and counts their position.\n",
    "for column in column_list:\n",
    "    if 'i10_dx' in column:\n",
    "        fill_values.update({column: ''})\n",
    "        i10_dx_columns.append(counter)\n",
    "        copy_columns.append(column)\n",
    "        counter += 1\n",
    "\n",
    "# If all i10_dx columns are required, uncomment and run the following line of code. Comment out the other lines of code below in this block.\n",
    "# i10_dx_df = core_file[copy_columns].copy().fillna(value = fill_values) -----------------------------------------uncomment this for original data\n",
    "\n",
    "# Grab the first 5 column values only.\n",
    "i10_dx_columns = i10_dx_columns[0:5]\n",
    "copy_columns = copy_columns[0:6]\n",
    "\n",
    "# Since we only need to fill in the first 5 diagnosis columns which may have NaN values, we'll shorten the dictionary to just those columns.\n",
    "fill_values = {key: fill_values[key] for key in list(fill_values)[:5]}\n",
    "\n",
    "# Create a copy of the original dataframe, including only specified columns, fill in NaN with ''.\n",
    "i10_dx_df = core_file[copy_columns].copy().fillna(value = fill_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "16647521it [05:11, 53498.54it/s]\n"
     ]
    }
   ],
   "source": [
    "# A list of patients who have an ibd diagnosis in any of the 'i10_dx' columns. ibd diagnosis codes begin with 'K50' or 'K51'.\n",
    "patient_list = []\n",
    "patient_list = [row.nrd_visitlink for row in tqdm(i10_dx_df.itertuples(index=False)) for position in i10_dx_columns if 'K50' in row[position] or 'K51' in row[position]]\n",
    "\n",
    "# Unique list of patients from the list above.\n",
    "unique_patients = np.unique(patient_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A dictionary that will map a 1 for every row that has a nrd_visitlink in the unique_patients list, this allows us to quickly create a new dataframe with only the cohort required.\n",
    "unique_patients_dict = {value:1 for value in unique_patients}\n",
    "\n",
    "# Create a new column called in_cohort by mapping the nrd_visitlinks values from the dicionary unique_patients_dict.\n",
    "core_file[\"in_cohort\"] = core_file[\"nrd_visitlink\"].map(unique_patients_dict)\n",
    "\n",
    "# Use masking to create a dataframe which only has the patients that we are looking for, where in_cohort == 1.\n",
    "mask = core_file[\"in_cohort\"].values == 1\n",
    "cohort_file = core_file.loc[mask]\n",
    "\n",
    "# Drop the unnecessary column and reset the index.\n",
    "cohort_file = cohort_file.drop(columns=['in_cohort']).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       " <NA>     <NA>     <NA>     <NA>     <NA>    <NA>    <NA>   \n",
       "140718  0DBP8ZX  30233N1  0DBN8ZX     <NA>     <NA>     <NA>    <NA>    <NA>   \n",
       "140719     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>    <NA>    <NA>   \n",
       "\n",
       "       i10_pr9 i10_pr10 i10_pr11 i10_pr12 i10_pr13 i10_pr14 i10_pr15 i10_pr16  \\\n",
       "0         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "140715    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140716    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140717    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140718    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140719    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "       i10_pr17 i10_pr18 i10_pr19 i10_pr20 i10_pr21 i10_pr22 i10_pr23  \\\n",
       "0          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "...         ...      ...      ...      ...      ...      ...      ...   \n",
       "140715     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140716     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140717     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140718     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140719     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "       i10_pr24 i10_pr25  prday1  prday2  prday3  prday4  prday5  prday6  \\\n",
       "0          <NA>     <NA>     0.0     NaN     NaN     NaN     NaN     NaN   \n",
       "1          <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "2          <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "3          <NA>     <NA>     0.0     NaN     NaN     NaN     NaN     NaN   \n",
       "4          <NA>     <NA>     0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "...         ...      ...     ...     ...     ...     ...     ...     ...   \n",
       "140715     <NA>     <NA>     1.0     NaN     NaN     NaN     NaN     NaN   \n",
       "140716     <NA>     <NA>     1.0     1.0     1.0     1.0    10.0     NaN   \n",
       "140717     <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "140718     <NA>     <NA>     1.0     0.0     1.0     NaN     NaN     NaN   \n",
       "140719     <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "\n",
       "        prday7  prday8  prday9  prday10  prday11  prday12  prday13  prday14  \\\n",
       "0          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "1          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "3          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "4          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "...        ...     ...     ...      ...      ...      ...      ...      ...   \n",
       "140715     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140716     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140717     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140718     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140719     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "\n",
       "        prday15  prday16  prday17  prday18  prday19  prday20  prday21  \\\n",
       "0           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "1           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "3           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "4           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "...         ...      ...      ...      ...      ...      ...      ...   \n",
       "140715      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140716      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140717      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140718      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140719      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "\n",
       "        prday22  prday23  prday24  prday25  rehabtransfer  resident  \\\n",
       "0           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "1           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "2           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "3           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "4           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "...         ...      ...      ...      ...            ...       ...   \n",
       "140715      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "140716      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "140717      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "140718      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "140719      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "\n",
       "        samedayevent    totchg  year_x  zipinc_qrtl  dxver  prver  \\\n",
       "0                0.0   43848.0  2017.0          2.0   10.0   10.0   \n",
       "1                0.0   11700.0  2017.0          2.0   10.0   10.0   \n",
       "2                0.0   47615.0  2017.0          1.0   10.0   10.0   \n",
       "3                0.0    8692.0  2017.0          2.0   10.0   10.0   \n",
       "4                0.0   40973.0  2017.0          3.0   10.0   10.0   \n",
       "...              ...       ...     ...          ...    ...    ...   \n",
       "140715           0.0  121265.0  2017.0          3.0   10.0   10.0   \n",
       "140716           0.0  594335.0  2017.0          3.0   10.0   10.0   \n",
       "140717           0.0   90757.0  2017.0          3.0   10.0   10.0   \n",
       "140718           0.0   35391.0  2017.0          1.0   10.0   10.0   \n",
       "140719           0.0   27415.0  2017.0          1.0   10.0   10.0   \n",
       "\n",
       "        hosp_bedsize  h_contrl  hosp_urcat4  hosp_ur_teach  nrd_stratum_y  \\\n",
       "0                3.0       1.0          2.0            1.0            447   \n",
       "1                2.0       2.0          4.0            2.0            452   \n",
       "2                2.0       3.0          2.0            1.0            480   \n",
       "3                3.0       1.0          1.0            1.0            401   \n",
       "4                2.0       2.0          1.0            0.0            419   \n",
       "...              ...       ...          ...            ...            ...   \n",
       "140715           3.0       2.0          1.0            1.0            441   \n",
       "140716           3.0       2.0          1.0            1.0            441   \n",
       "140717           3.0       2.0          1.0            1.0            441   \n",
       "140718           3.0       2.0          1.0            1.0            435   \n",
       "140719           3.0       2.0          1.0            1.0            435   \n",
       "\n",
       "        n_disc_u  n_hosp_u  s_disc_u  s_hosp_u  total_disc  year_y  aprdrg  \\\n",
       "0         636191        24    332444        15       21737    2017   302.0   \n",
       "1          18409         9     11959         7        2872    2017   245.0   \n",
       "2        1108272        62    607060        37       15828    2017   249.0   \n",
       "3         190743         8    176442         8       14146    2017   775.0   \n",
       "4         234762        32    135795        20        4040    2017   772.0   \n",
       "...          ...       ...       ...       ...         ...     ...     ...   \n",
       "140715   1482670        59    887925        44       18731    2017   139.0   \n",
       "140716   1482670        59    887925        44       18731    2017   660.0   \n",
       "140717   1482670        59    887925        44       18731    2017   144.0   \n",
       "140718   2849102        73   1360786        41       17007    2017   245.0   \n",
       "140719   2849102        73   1360786        41       17113    2017   245.0   \n",
       "\n",
       "        aprdrg_risk_mortality  aprdrg_severity  hosp_nrd_y  next_nrdday  \\\n",
       "0                         1.0              2.0     42214.0          NaN   \n",
       "1                         1.0              1.0     41827.0          NaN   \n",
       "2                         3.0              2.0     41241.0          NaN   \n",
       "3                         2.0              3.0     44168.0      20944.0   \n",
       "4                         1.0              1.0     42912.0          NaN   \n",
       "...                       ...              ...         ...          ...   \n",
       "140715                    2.0              3.0     41084.0      15120.0   \n",
       "140716                    3.0              4.0     41084.0      15185.0   \n",
       "140717                    3.0              4.0     41084.0          NaN   \n",
       "140718                    1.0              2.0     42659.0      22935.0   \n",
       "140719                    1.0              2.0     44321.0          NaN   \n",
       "\n",
       "        days_to_readmission  index_admission readmission_diagnosis  \\\n",
       "0                       NaN                1                   NaN   \n",
       "1                       NaN                1                   NaN   \n",
       "2                       NaN                1                   NaN   \n",
       "3                      71.0                1                 F1020   \n",
       "4                       NaN                1                   NaN   \n",
       "...                     ...              ...                   ...   \n",
       "140715                 57.0                1                  T865   \n",
       "140716                 44.0                1                  J205   \n",
       "140717                  NaN                0                   NaN   \n",
       "140718                 15.0                1                K51911   \n",
       "140719                  NaN                1                   NaN   \n",
       "\n",
       "        readmission_los  preventable_admission  pqi_1  pqi_3  pqi_5  pqi_7  \\\n",
       "0                   NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "1                   NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "2                   NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "3                  28.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "4                   NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "...                 ...                    ...    ...    ...    ...    ...   \n",
       "140715             21.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "140716              2.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "140717              NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "140718              3.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "140719              NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "\n",
       "        pqi_8  pqi_11  pqi_12  pqi_14  pqi_15  pqi_16  pqi_5_15_exclusion  \\\n",
       "0         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "1         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "2         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "3         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "4         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "...       ...     ...     ...     ...     ...     ...                 ...   \n",
       "140715    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "140716    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "140717    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "140718    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "140719    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "\n",
       "        pqi_7_medical_exclusions  pqi_7_procedural_exclusion  \\\n",
       "0                            0.0                         0.0   \n",
       "1                            0.0                         0.0   \n",
       "2                            0.0                         0.0   \n",
       "3                            0.0                         0.0   \n",
       "4                            0.0                         0.0   \n",
       "...                          ...                         ...   \n",
       "140715                       0.0                         0.0   \n",
       "140716                       0.0                         0.0   \n",
       "140717                       0.0                         0.0   \n",
       "140718                       0.0                         0.0   \n",
       "140719                       0.0                         0.0   \n",
       "\n",
       "        pqi_7_8_procedural_exclusion  pqi_11_exclusion  pqi_12_exclusion  \\\n",
       "0                                0.0               0.0               0.0   \n",
       "1                                0.0               0.0               0.0   \n",
       "2                                0.0               0.0               0.0   \n",
       "3                                0.0               0.0               0.0   \n",
       "4                                0.0               0.0               0.0   \n",
       "...                              ...               ...               ...   \n",
       "140715                           0.0               0.0               0.0   \n",
       "140716                           0.0               0.0               0.0   \n",
       "140717                           0.0               0.0               0.0   \n",
       "140718                           0.0               0.0               0.0   \n",
       "140719                           0.0               0.0               0.0   \n",
       "\n",
       "        pqi_immunocompromise_medical_exclusion  \\\n",
       "0                                          0.0   \n",
       "1                                          0.0   \n",
       "2                                          0.0   \n",
       "3                                          0.0   \n",
       "4                                          0.0   \n",
       "...                                        ...   \n",
       "140715                                     1.0   \n",
       "140716                                     1.0   \n",
       "140717                                     1.0   \n",
       "140718                                     0.0   \n",
       "140719                                     0.0   \n",
       "\n",
       "        pqi_immunocompromise_procedural_exclusion  pqi_16_exclusion_procedure  \\\n",
       "0                                             0.0                         0.0   \n",
       "1                                             0.0                         0.0   \n",
       "2                                             0.0                         0.0   \n",
       "3                                             0.0                         0.0   \n",
       "4                                             0.0                         0.0   \n",
       "...                                           ...                         ...   \n",
       "140715                                        0.0                         0.0   \n",
       "140716                                        0.0                         0.0   \n",
       "140717                                        0.0                         0.0   \n",
       "140718                                        0.0                         0.0   \n",
       "140719                                        0.0                         0.0   \n",
       "\n",
       "        pqi_16_amputation_procedure  medical_admission  hfrs_score  \\\n",
       "0                               0.0                0.0    0.000000   \n",
       "1                               0.0                1.0    2.000000   \n",
       "2                               0.0                1.0    9.398438   \n",
       "3                               0.0                1.0    8.203125   \n",
       "4                               0.0                1.0    2.699219   \n",
       "...                             ...                ...         ...   \n",
       "140715                          0.0                1.0    3.900391   \n",
       "140716                          0.0                1.0    5.101562   \n",
       "140717                          0.0                1.0    4.800781   \n",
       "140718                          0.0                1.0    0.000000   \n",
       "140719                          0.0                1.0    4.898438   \n",
       "\n",
       "        hfrs_severity  cc_score  cc_severity  cc_MI  cc_CHF  cc_PVD  cc_CVD  \\\n",
       "0                 0.0       0.0          0.0      0       0       0       0   \n",
       "1                 0.0       1.0          0.0      0       0       0       0   \n",
       "2                 1.0       6.0          2.0      0       1       0       0   \n",
       "3                 1.0       0.0          0.0      0       0       0       0   \n",
       "4                 0.0       0.0          0.0      0       0       0       0   \n",
       "...               ...       ...          ...    ...     ...     ...     ...   \n",
       "140715            0.0       2.0          0.0      0       0       0       0   \n",
       "140716            1.0       2.0          0.0      0       0       0       0   \n",
       "140717            0.0       2.0          0.0      0       0       0       0   \n",
       "140718            0.0       0.0          0.0      0       0       0       0   \n",
       "140719            0.0       0.0          0.0      0       0       0       0   \n",
       "\n",
       "        cc_dementia  cc_COPD  cc_rheum  cc_peptic_ulcer  \\\n",
       "0                 0        0         0                0   \n",
       "1                 0        1         0                0   \n",
       "2                 0        0         0                0   \n",
       "3                 0        0         0                0   \n",
       "4                 0        0         0                0   \n",
       "...             ...      ...       ...              ...   \n",
       "140715            0        0         0                0   \n",
       "140716            0        0         0                0   \n",
       "140717            0        0         0                0   \n",
       "140718            0        0         0                0   \n",
       "140719            0        0         0                0   \n",
       "\n",
       "        cc_mild_liver_disease  cc_diabetes_wo_complications  \\\n",
       "0                           0                             0   \n",
       "1                           0                             0   \n",
       "2                           0                             1   \n",
       "3                           0                             0   \n",
       "4                           0                             0   \n",
       "...                       ...                           ...   \n",
       "140715                      0                             0   \n",
       "140716                      0                             0   \n",
       "140717                      0                             0   \n",
       "140718                      0                             0   \n",
       "140719                      0                             0   \n",
       "\n",
       "        cc_diabetes_w_complications  cc_plegia  cc_renal  cc_malignancy  \\\n",
       "0                                 0          0         0              0   \n",
       "1                                 0          0         0              0   \n",
       "2                                 1          0         1              0   \n",
       "3                                 0          0         0              0   \n",
       "4                                 0          0         0              0   \n",
       "...                             ...        ...       ...            ...   \n",
       "140715                            0          0         0              1   \n",
       "140716                            0          0         0              1   \n",
       "140717                            0          0         0              1   \n",
       "140718                            0          0         0              0   \n",
       "140719                            0          0         0              0   \n",
       "\n",
       "        cc_severe_liver  cc_metastasis  cc_AIDS  \n",
       "0                     0              0        0  \n",
       "1                     0              0        0  \n",
       "2                     0              0        0  \n",
       "3                     0              0        0  \n",
       "4                     0              0        0  \n",
       "...                 ...            ...      ...  \n",
       "140715                0              0        0  \n",
       "140716                0              0        0  \n",
       "140717                0              0        0  \n",
       "140718                0              0        0  \n",
       "140719                0              0        0  \n",
       "\n",
       "[140720 rows x 186 columns]"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>key_nrd</th>\n      <th>age</th>\n      <th>aweekend</th>\n      <th>died</th>\n      <th>discwt</th>\n      <th>dispuniform</th>\n      <th>dmonth</th>\n      <th>dqtr</th>\n      <th>drg</th>\n      <th>drgver</th>\n      <th>drg_nopoa</th>\n      <th>i10_dx1</th>\n      <th>i10_dx2</th>\n      <th>i10_dx3</th>\n      <th>i10_dx4</th>\n      <th>i10_dx5</th>\n      <th>i10_dx6</th>\n      <th>i10_dx7</th>\n      <th>i10_dx8</th>\n      <th>i10_dx9</th>\n      <th>i10_dx10</th>\n      <th>i10_dx11</th>\n      <th>i10_dx12</th>\n      <th>i10_dx13</th>\n      <th>i10_dx14</th>\n      <th>i10_dx15</th>\n      <th>i10_dx16</th>\n      <th>i10_dx17</th>\n      <th>i10_dx18</th>\n      <th>i10_dx19</th>\n      <th>i10_dx20</th>\n      <th>i10_dx21</th>\n      <th>i10_dx22</th>\n      <th>i10_dx23</th>\n      <th>i10_dx24</th>\n      <th>i10_dx25</th>\n      <th>i10_dx26</th>\n      <th>i10_dx27</th>\n      <th>i10_dx28</th>\n      <th>i10_dx29</th>\n      <th>i10_dx30</th>\n      <th>i10_dx31</th>\n      <th>i10_dx32</th>\n      <th>i10_dx33</th>\n      <th>i10_dx34</th>\n      <th>i10_dx35</th>\n      <th>i10_dx36</th>\n      <th>i10_dx37</th>\n      <th>i10_dx38</th>\n      <th>i10_dx39</th>\n      <th>i10_dx40</th>\n      <th>elective</th>\n      <th>female</th>\n      <th>hcup_ed</th>\n      <th>hosp_nrd_x</th>\n      <th>los</th>\n      <th>mdc</th>\n      <th>mdc_nopoa</th>\n      <th>i10_ndx</th>\n      <th>i10_npr</th>\n      <th>nrd_daystoevent</th>\n      <th>nrd_stratum_x</th>\n      <th>nrd_visitlink</th>\n      <th>pay1</th>\n      <th>pl_nchs</th>\n      <th>i10_pr1</th>\n      <th>i10_pr2</th>\n      <th>i10_pr3</th>\n      <th>i10_pr4</th>\n      <th>i10_pr5</th>\n      <th>i10_pr6</th>\n      <th>i10_pr7</th>\n      <th>i10_pr8</th>\n      <th>i10_pr9</th>\n      <th>i10_pr10</th>\n      <th>i10_pr11</th>\n      <th>i10_pr12</th>\n      <th>i10_pr13</th>\n      <th>i10_pr14</th>\n      <th>i10_pr15</th>\n      <th>i10_pr16</th>\n      <th>i10_pr17</th>\n      <th>i10_pr18</th>\n      <th>i10_pr19</th>\n      <th>i10_pr20</th>\n      <th>i10_pr21</th>\n      <th>i10_pr22</th>\n      <th>i10_pr23</th>\n      <th>i10_pr24</th>\n      <th>i10_pr25</th>\n      <th>prday1</th>\n      <th>prday2</th>\n      <th>prday3</th>\n      <th>prday4</th>\n      <th>prday5</th>\n      <th>prday6</th>\n      <th>prday7</th>\n      <th>prday8</th>\n      <th>prday9</th>\n      <th>prday10</th>\n      <th>prday11</th>\n      <th>prday12</th>\n      <th>prday13</th>\n      <th>prday14</th>\n      <th>prday15</th>\n      <th>prday16</th>\n      <th>prday17</th>\n      <th>prday18</th>\n      <th>prday19</th>\n      <th>prday20</th>\n      <th>prday21</th>\n      <th>prday22</th>\n      <th>prday23</th>\n      <th>prday24</th>\n      <th>prday25</th>\n      <th>rehabtransfer</th>\n      <th>resident</th>\n      <th>samedayevent</th>\n      <th>totchg</th>\n      <th>year_x</th>\n      <th>zipinc_qrtl</th>\n      <th>dxver</th>\n      <th>prver</th>\n      <th>hosp_bedsize</th>\n      <th>h_contrl</th>\n      <th>hosp_urcat4</th>\n      <th>hosp_ur_teach</th>\n      <th>nrd_stratum_y</th>\n      <th>n_disc_u</th>\n      <th>n_hosp_u</th>\n      <th>s_disc_u</th>\n      <th>s_hosp_u</th>\n      <th>total_disc</th>\n      <th>year_y</th>\n      <th>aprdrg</th>\n      <th>aprdrg_risk_mortality</th>\n      <th>aprdrg_severity</th>\n      <th>hosp_nrd_y</th>\n      <th>next_nrdday</th>\n      <th>days_to_readmission</th>\n      <th>index_admission</th>\n      <th>readmission_diagnosis</th>\n      <th>readmission_los</th>\n      <th>preventable_admission</th>\n      <th>pqi_1</th>\n      <th>pqi_3</th>\n      <th>pqi_5</th>\n      <th>pqi_7</th>\n      <th>pqi_8</th>\n      <th>pqi_11</th>\n      <th>pqi_12</th>\n      <th>pqi_14</th>\n      <th>pqi_15</th>\n      <th>pqi_16</th>\n      <th>pqi_5_15_exclusion</th>\n      <th>pqi_7_medical_exclusions</th>\n      <th>pqi_7_procedural_exclusion</th>\n      <th>pqi_7_8_procedural_exclusion</th>\n      <th>pqi_11_exclusion</th>\n      <th>pqi_12_exclusion</th>\n      <th>pqi_immunocompromise_medical_exclusion</th>\n      <th>pqi_immunocompromise_procedural_exclusion</th>\n      <th>pqi_16_exclusion_procedure</th>\n      <th>pqi_16_amputation_procedure</th>\n      <th>medical_admission</th>\n      <th>hfrs_score</th>\n      <th>hfrs_severity</th>\n      <th>cc_score</th>\n      <th>cc_severity</th>\n      <th>cc_MI</th>\n      <th>cc_CHF</th>\n      <th>cc_PVD</th>\n      <th>cc_CVD</th>\n      <th>cc_dementia</th>\n      <th>cc_COPD</th>\n      <th>cc_rheum</th>\n      <th>cc_peptic_ulcer</th>\n      <th>cc_mild_liver_disease</th>\n      <th>cc_diabetes_wo_complications</th>\n      <th>cc_diabetes_w_complications</th>\n      <th>cc_plegia</th>\n      <th>cc_renal</th>\n      <th>cc_malignancy</th>\n      <th>cc_severe_liver</th>\n      <th>cc_metastasis</th>\n      <th>cc_AIDS</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2.017114e+11</td>\n      <td>88.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.805447</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>2.0</td>\n      <td>470.0</td>\n      <td>34.0</td>\n      <td>470.0</td>\n      <td>M1712</td>\n      <td>I10</td>\n      <td>L309</td>\n      <td>K5190</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42214.0</td>\n      <td>1.0</td>\n      <td>8.0</td>\n      <td>8.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>13979.0</td>\n      <td>447.0</td>\n      <td>e0007w8</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      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<td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>43848.0</td>\n      <td>2017.0</td>\n      <td>2.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>447</td>\n      <td>636191</td>\n      <td>24</td>\n      <td>332444</td>\n      <td>15</td>\n      <td>21737</td>\n      <td>2017</td>\n      <td>302.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42214.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2.017057e+11</td>\n      <td>49.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.492757</td>\n      <td>1.0</td>\n      <td>6.0</td>\n      <td>2.0</td>\n      <td>386.0</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K50812</td>\n      <td>G40909</td>\n      <td>J449</td>\n      <td>F17210</td>\n      <td>F329</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>41827.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>5.0</td>\n      <td>0.0</td>\n      <td>19302.0</td>\n      <td>452.0</td>\n      <td>e0009vi</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>11700.0</td>\n      <td>2017.0</td>\n      <td>2.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>452</td>\n      <td>18409</td>\n      <td>9</td>\n      <td>11959</td>\n      <td>7</td>\n      <td>2872</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>41827.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      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<td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>140715</th>\n      <td>2.017100e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>8.0</td>\n      <td>3.0</td>\n      <td>194.0</td>\n      <td>34.0</td>\n      <td>194.0</td>\n      <td>J189</td>\n      <td>T865</td>\n      <td>R51</td>\n      <td>Y95</td>\n      <td>L298</td>\n      <td>D89810</td>\n      <td>E222</td>\n      <td>D469</td>\n      <td>I959</td>\n      <td>Z006</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>6.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>10.0</td>\n      <td>1.0</td>\n      <td>15057.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0HBJXZX</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>121265.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>139.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>41084.0</td>\n      <td>15120.0</td>\n      <td>57.0</td>\n      <td>1</td>\n      <td>T865</td>\n      <td>21.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>3.900391</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>140716</th>\n      <td>2.017115e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>11.0</td>\n      <td>4.0</td>\n      <td>919.0</td>\n      <td>35.0</td>\n      <td>919.0</td>\n      <td>T865</td>\n      <td>N170</td>\n      <td>J069</td>\n      <td>E872</td>\n      <td>D469</td>\n      <td>E8339</td>\n      <td>D89810</td>\n      <td>R197</td>\n      <td>D61818</td>\n      <td>R7989</td>\n      <td>K5090</td>\n      <td>D709</td>\n      <td>K219</td>\n      <td>Z006</td>\n      <td>E039</td>\n      <td>Z888</td>\n      <td>Y830</td>\n      <td>T367X5A</td>\n      <td>Y92230</td>\n      <td>G4700</td>\n      <td>Z9089</td>\n      <td>Z881</td>\n      <td>Z9049</td>\n      <td>Y92039</td>\n      <td>E806</td>\n      <td>B348</td>\n      <td>E785</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>21.0</td>\n      <td>21.0</td>\n      <td>21.0</td>\n      <td>27.0</td>\n      <td>5.0</td>\n      <td>15120.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0DB58ZX</td>\n      <td>0DB98ZX</td>\n      <td>0DBN8ZX</td>\n      <td>0DB68ZX</td>\n      <td>XW03341</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>594335.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>660.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>15185.0</td>\n      <td>44.0</td>\n      <td>1</td>\n      <td>J205</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>5.101562</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>140717</th>\n      <td>2.017035e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>12.0</td>\n      <td>4.0</td>\n      <td>202.0</td>\n      <td>35.0</td>\n      <td>202.0</td>\n      <td>J205</td>\n      <td>N170</td>\n      <td>E785</td>\n      <td>T8609</td>\n      <td>E871</td>\n      <td>K5090</td>\n      <td>D61818</td>\n      <td>E039</td>\n      <td>E440</td>\n      <td>G4700</td>\n      <td>D89810</td>\n      <td>B259</td>\n      <td>D801</td>\n      <td>Z006</td>\n      <td>I10</td>\n      <td>Z6821</td>\n      <td>Y848</td>\n      <td>Y92039</td>\n      <td>T380X5A</td>\n      <td>H04123</td>\n      <td>D469</td>\n      <td>R739</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>2.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>22.0</td>\n      <td>0.0</td>\n      <td>15185.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>90757.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>144.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.800781</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>140718</th>\n      <td>2.017032e+11</td>\n      <td>54.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.858673</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>387.0</td>\n      <td>34.0</td>\n      <td>387.0</td>\n      <td>K51911</td>\n      <td>I10</td>\n      <td>K649</td>\n      <td>K30</td>\n      <td>K219</td>\n      <td>D509</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42659.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>3.0</td>\n      <td>22917.0</td>\n      <td>435.0</td>\n      <td>ezzz5ob</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0DBP8ZX</td>\n      <td>30233N1</td>\n      <td>0DBN8ZX</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>35391.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>435</td>\n      <td>2849102</td>\n      <td>73</td>\n      <td>1360786</td>\n      <td>41</td>\n      <td>17007</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42659.0</td>\n      <td>22935.0</td>\n      <td>15.0</td>\n      <td>1</td>\n      <td>K51911</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>140719</th>\n      <td>2.017154e+11</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.858673</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>386.0</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K51911</td>\n      <td>F330</td>\n      <td>Z87891</td>\n      <td>K5900</td>\n      <td>K649</td>\n      <td>I10</td>\n      <td>K219</td>\n      <td>D649</td>\n      <td>R45851</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>44321.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>9.0</td>\n      <td>0.0</td>\n      <td>22935.0</td>\n      <td>435.0</td>\n      <td>ezzz5ob</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>27415.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>435</td>\n      <td>2849102</td>\n      <td>73</td>\n      <td>1360786</td>\n      <td>41</td>\n      <td>17113</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>44321.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.898438</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>140720 rows × 186 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 7
    }
   ],
   "source": [
    "# Turn the dask dataframe into a pandas dataframe now that the heavy lifting has been completed. This should only take a few minutes depending on file size.\n",
    "cohort_file = cohort_file.compute(index=False, single_file=True)\n",
    "\n",
    "# Reset the index and drop the old column since dask works in partitions and will have weird index numbers.\n",
    "cohort_file = cohort_file.reset_index(drop=True)\n",
    "\n",
    "# Sort the file in ascending order based on the values of the 'nrd_visitlink' column so all of the patient visits are grouped together.\n",
    "# Secondly, sort by 'dmonth' so that the patients are sorted from January through December.\n",
    "cohort_file = cohort_file.sort_values(by=['nrd_visitlink', 'dmonth']).reset_index(drop=True)\n",
    "\n",
    "cohort_file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Only Keep Adults in the Cohort <a class=\"anchor\" id=\"adultpatientsonly\"></a>\n",
    "### - any patient who was 18 or older during their first hospitalization\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "140720it [00:05, 24953.68it/s]\n",
      "0it [00:00, ?it/s]<ipython-input-8-8770ef87523c>:9: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  adult_patients = [row.nrd_visitlink for row in tqdm(cohort_file.itertuples(index=False)) if row.nrd_visitlink not in not_adult_unique]\n",
      "140720it [00:07, 19402.21it/s]\n",
      "\n",
      "Number of unique patients in the cohort: 74,308\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       " <NA>     <NA>     <NA>     <NA>     <NA>    <NA>    <NA>   \n",
       "140718  0DBP8ZX  30233N1  0DBN8ZX     <NA>     <NA>     <NA>    <NA>    <NA>   \n",
       "140719     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>    <NA>    <NA>   \n",
       "\n",
       "       i10_pr9 i10_pr10 i10_pr11 i10_pr12 i10_pr13 i10_pr14 i10_pr15 i10_pr16  \\\n",
       "0         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "140715    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140716    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140717    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140718    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140719    <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "       i10_pr17 i10_pr18 i10_pr19 i10_pr20 i10_pr21 i10_pr22 i10_pr23  \\\n",
       "0          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4          <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "...         ...      ...      ...      ...      ...      ...      ...   \n",
       "140715     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140716     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140717     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140718     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "140719     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "       i10_pr24 i10_pr25  prday1  prday2  prday3  prday4  prday5  prday6  \\\n",
       "0          <NA>     <NA>     0.0     NaN     NaN     NaN     NaN     NaN   \n",
       "1          <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "2          <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "3          <NA>     <NA>     0.0     NaN     NaN     NaN     NaN     NaN   \n",
       "4          <NA>     <NA>     0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "...         ...      ...     ...     ...     ...     ...     ...     ...   \n",
       "140715     <NA>     <NA>     1.0     NaN     NaN     NaN     NaN     NaN   \n",
       "140716     <NA>     <NA>     1.0     1.0     1.0     1.0    10.0     NaN   \n",
       "140717     <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "140718     <NA>     <NA>     1.0     0.0     1.0     NaN     NaN     NaN   \n",
       "140719     <NA>     <NA>     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "\n",
       "        prday7  prday8  prday9  prday10  prday11  prday12  prday13  prday14  \\\n",
       "0          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "1          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "3          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "4          NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "...        ...     ...     ...      ...      ...      ...      ...      ...   \n",
       "140715     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140716     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140717     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140718     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140719     NaN     NaN     NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "\n",
       "        prday15  prday16  prday17  prday18  prday19  prday20  prday21  \\\n",
       "0           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "1           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "3           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "4           NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "...         ...      ...      ...      ...      ...      ...      ...   \n",
       "140715      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140716      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140717      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140718      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "140719      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "\n",
       "        prday22  prday23  prday24  prday25  rehabtransfer  resident  \\\n",
       "0           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "1           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "2           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "3           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "4           NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "...         ...      ...      ...      ...            ...       ...   \n",
       "140715      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "140716      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "140717      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "140718      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "140719      NaN      NaN      NaN      NaN            0.0       1.0   \n",
       "\n",
       "        samedayevent    totchg  year_x  zipinc_qrtl  dxver  prver  \\\n",
       "0                0.0   43848.0  2017.0          2.0   10.0   10.0   \n",
       "1                0.0   11700.0  2017.0          2.0   10.0   10.0   \n",
       "2                0.0   47615.0  2017.0          1.0   10.0   10.0   \n",
       "3                0.0    8692.0  2017.0          2.0   10.0   10.0   \n",
       "4                0.0   40973.0  2017.0          3.0   10.0   10.0   \n",
       "...              ...       ...     ...          ...    ...    ...   \n",
       "140715           0.0  121265.0  2017.0          3.0   10.0   10.0   \n",
       "140716           0.0  594335.0  2017.0          3.0   10.0   10.0   \n",
       "140717           0.0   90757.0  2017.0          3.0   10.0   10.0   \n",
       "140718           0.0   35391.0  2017.0          1.0   10.0   10.0   \n",
       "140719           0.0   27415.0  2017.0          1.0   10.0   10.0   \n",
       "\n",
       "        hosp_bedsize  h_contrl  hosp_urcat4  hosp_ur_teach  nrd_stratum_y  \\\n",
       "0                3.0       1.0          2.0            1.0            447   \n",
       "1                2.0       2.0          4.0            2.0            452   \n",
       "2                2.0       3.0          2.0            1.0            480   \n",
       "3                3.0       1.0          1.0            1.0            401   \n",
       "4                2.0       2.0          1.0            0.0            419   \n",
       "...              ...       ...          ...            ...            ...   \n",
       "140715           3.0       2.0          1.0            1.0            441   \n",
       "140716           3.0       2.0          1.0            1.0            441   \n",
       "140717           3.0       2.0          1.0            1.0            441   \n",
       "140718           3.0       2.0          1.0            1.0            435   \n",
       "140719           3.0       2.0          1.0            1.0            435   \n",
       "\n",
       "        n_disc_u  n_hosp_u  s_disc_u  s_hosp_u  total_disc  year_y  aprdrg  \\\n",
       "0         636191        24    332444        15       21737    2017   302.0   \n",
       "1          18409         9     11959         7        2872    2017   245.0   \n",
       "2        1108272        62    607060        37       15828    2017   249.0   \n",
       "3         190743         8    176442         8       14146    2017   775.0   \n",
       "4         234762        32    135795        20        4040    2017   772.0   \n",
       "...          ...       ...       ...       ...         ...     ...     ...   \n",
       "140715   1482670        59    887925        44       18731    2017   139.0   \n",
       "140716   1482670        59    887925        44       18731    2017   660.0   \n",
       "140717   1482670        59    887925        44       18731    2017   144.0   \n",
       "140718   2849102        73   1360786        41       17007    2017   245.0   \n",
       "140719   2849102        73   1360786        41       17113    2017   245.0   \n",
       "\n",
       "        aprdrg_risk_mortality  aprdrg_severity  hosp_nrd_y  next_nrdday  \\\n",
       "0                         1.0              2.0     42214.0          NaN   \n",
       "1                         1.0              1.0     41827.0          NaN   \n",
       "2                         3.0              2.0     41241.0          NaN   \n",
       "3                         2.0              3.0     44168.0      20944.0   \n",
       "4                         1.0              1.0     42912.0          NaN   \n",
       "...                       ...              ...         ...          ...   \n",
       "140715                    2.0              3.0     41084.0      15120.0   \n",
       "140716                    3.0              4.0     41084.0      15185.0   \n",
       "140717                    3.0              4.0     41084.0          NaN   \n",
       "140718                    1.0              2.0     42659.0      22935.0   \n",
       "140719                    1.0              2.0     44321.0          NaN   \n",
       "\n",
       "        days_to_readmission  index_admission readmission_diagnosis  \\\n",
       "0                       NaN                1                   NaN   \n",
       "1                       NaN                1                   NaN   \n",
       "2                       NaN                1                   NaN   \n",
       "3                      71.0                1                 F1020   \n",
       "4                       NaN                1                   NaN   \n",
       "...                     ...              ...                   ...   \n",
       "140715                 57.0                1                  T865   \n",
       "140716                 44.0                1                  J205   \n",
       "140717                  NaN                0                   NaN   \n",
       "140718                 15.0                1                K51911   \n",
       "140719                  NaN                1                   NaN   \n",
       "\n",
       "        readmission_los  preventable_admission  pqi_1  pqi_3  pqi_5  pqi_7  \\\n",
       "0                   NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "1                   NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "2                   NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "3                  28.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "4                   NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "...                 ...                    ...    ...    ...    ...    ...   \n",
       "140715             21.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "140716              2.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "140717              NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "140718              3.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "140719              NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "\n",
       "        pqi_8  pqi_11  pqi_12  pqi_14  pqi_15  pqi_16  pqi_5_15_exclusion  \\\n",
       "0         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "1         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "2         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "3         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "4         0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "...       ...     ...     ...     ...     ...     ...                 ...   \n",
       "140715    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "140716    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "140717    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "140718    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "140719    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "\n",
       "        pqi_7_medical_exclusions  pqi_7_procedural_exclusion  \\\n",
       "0                            0.0                         0.0   \n",
       "1                            0.0                         0.0   \n",
       "2                            0.0                         0.0   \n",
       "3                            0.0                         0.0   \n",
       "4                            0.0                         0.0   \n",
       "...                          ...                         ...   \n",
       "140715                       0.0                         0.0   \n",
       "140716                       0.0                         0.0   \n",
       "140717                       0.0                         0.0   \n",
       "140718                       0.0                         0.0   \n",
       "140719                       0.0                         0.0   \n",
       "\n",
       "        pqi_7_8_procedural_exclusion  pqi_11_exclusion  pqi_12_exclusion  \\\n",
       "0                                0.0               0.0               0.0   \n",
       "1                                0.0               0.0               0.0   \n",
       "2                                0.0               0.0               0.0   \n",
       "3                                0.0               0.0               0.0   \n",
       "4                                0.0               0.0               0.0   \n",
       "...                              ...               ...               ...   \n",
       "140715                           0.0               0.0               0.0   \n",
       "140716                           0.0               0.0               0.0   \n",
       "140717                           0.0               0.0               0.0   \n",
       "140718                           0.0               0.0               0.0   \n",
       "140719                           0.0               0.0               0.0   \n",
       "\n",
       "        pqi_immunocompromise_medical_exclusion  \\\n",
       "0                                          0.0   \n",
       "1                                          0.0   \n",
       "2                                          0.0   \n",
       "3                                          0.0   \n",
       "4                                          0.0   \n",
       "...                                        ...   \n",
       "140715                                     1.0   \n",
       "140716                                     1.0   \n",
       "140717                                     1.0   \n",
       "140718                                     0.0   \n",
       "140719                                     0.0   \n",
       "\n",
       "        pqi_immunocompromise_procedural_exclusion  pqi_16_exclusion_procedure  \\\n",
       "0                                             0.0                         0.0   \n",
       "1                                             0.0                         0.0   \n",
       "2                                             0.0                         0.0   \n",
       "3                                             0.0                         0.0   \n",
       "4                                             0.0                         0.0   \n",
       "...                                           ...                         ...   \n",
       "140715                                        0.0                         0.0   \n",
       "140716                                        0.0                         0.0   \n",
       "140717                                        0.0                         0.0   \n",
       "140718                                        0.0                         0.0   \n",
       "140719                                        0.0                         0.0   \n",
       "\n",
       "        pqi_16_amputation_procedure  medical_admission  hfrs_score  \\\n",
       "0                               0.0                0.0    0.000000   \n",
       "1                               0.0                1.0    2.000000   \n",
       "2                               0.0                1.0    9.398438   \n",
       "3                               0.0                1.0    8.203125   \n",
       "4                               0.0                1.0    2.699219   \n",
       "...                             ...                ...         ...   \n",
       "140715                          0.0                1.0    3.900391   \n",
       "140716                          0.0                1.0    5.101562   \n",
       "140717                          0.0                1.0    4.800781   \n",
       "140718                          0.0                1.0    0.000000   \n",
       "140719                          0.0                1.0    4.898438   \n",
       "\n",
       "        hfrs_severity  cc_score  cc_severity  cc_MI  cc_CHF  cc_PVD  cc_CVD  \\\n",
       "0                 0.0       0.0          0.0      0       0       0       0   \n",
       "1                 0.0       1.0          0.0      0       0       0       0   \n",
       "2                 1.0       6.0          2.0      0       1       0       0   \n",
       "3                 1.0       0.0          0.0      0       0       0       0   \n",
       "4                 0.0       0.0          0.0      0       0       0       0   \n",
       "...               ...       ...          ...    ...     ...     ...     ...   \n",
       "140715            0.0       2.0          0.0      0       0       0       0   \n",
       "140716            1.0       2.0          0.0      0       0       0       0   \n",
       "140717            0.0       2.0          0.0      0       0       0       0   \n",
       "140718            0.0       0.0          0.0      0       0       0       0   \n",
       "140719            0.0       0.0          0.0      0       0       0       0   \n",
       "\n",
       "        cc_dementia  cc_COPD  cc_rheum  cc_peptic_ulcer  \\\n",
       "0                 0        0         0                0   \n",
       "1                 0        1         0                0   \n",
       "2                 0        0         0                0   \n",
       "3                 0        0         0                0   \n",
       "4                 0        0         0                0   \n",
       "...             ...      ...       ...              ...   \n",
       "140715            0        0         0                0   \n",
       "140716            0        0         0                0   \n",
       "140717            0        0         0                0   \n",
       "140718            0        0         0                0   \n",
       "140719            0        0         0                0   \n",
       "\n",
       "        cc_mild_liver_disease  cc_diabetes_wo_complications  \\\n",
       "0                           0                             0   \n",
       "1                           0                             0   \n",
       "2                           0                             1   \n",
       "3                           0                             0   \n",
       "4                           0                             0   \n",
       "...                       ...                           ...   \n",
       "140715                      0                             0   \n",
       "140716                      0                             0   \n",
       "140717                      0                             0   \n",
       "140718                      0                             0   \n",
       "140719                      0                             0   \n",
       "\n",
       "        cc_diabetes_w_complications  cc_plegia  cc_renal  cc_malignancy  \\\n",
       "0                                 0          0         0              0   \n",
       "1                                 0          0         0              0   \n",
       "2                                 1          0         1              0   \n",
       "3                                 0          0         0              0   \n",
       "4                                 0          0         0              0   \n",
       "...                             ...        ...       ...            ...   \n",
       "140715                            0          0         0              1   \n",
       "140716                            0          0         0              1   \n",
       "140717                            0          0         0              1   \n",
       "140718                            0          0         0              0   \n",
       "140719                            0          0         0              0   \n",
       "\n",
       "        cc_severe_liver  cc_metastasis  cc_AIDS  \n",
       "0                     0              0        0  \n",
       "1                     0              0        0  \n",
       "2                     0              0        0  \n",
       "3                     0              0        0  \n",
       "4                     0              0        0  \n",
       "...                 ...            ...      ...  \n",
       "140715                0              0        0  \n",
       "140716                0              0        0  \n",
       "140717                0              0        0  \n",
       "140718                0              0        0  \n",
       "140719                0              0        0  \n",
       "\n",
       "[140720 rows x 186 columns]"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>key_nrd</th>\n      <th>age</th>\n      <th>aweekend</th>\n      <th>died</th>\n      <th>discwt</th>\n      <th>dispuniform</th>\n      <th>dmonth</th>\n      <th>dqtr</th>\n      <th>drg</th>\n      <th>drgver</th>\n      <th>drg_nopoa</th>\n      <th>i10_dx1</th>\n      <th>i10_dx2</th>\n      <th>i10_dx3</th>\n      <th>i10_dx4</th>\n      <th>i10_dx5</th>\n      <th>i10_dx6</th>\n      <th>i10_dx7</th>\n      <th>i10_dx8</th>\n      <th>i10_dx9</th>\n      <th>i10_dx10</th>\n      <th>i10_dx11</th>\n      <th>i10_dx12</th>\n      <th>i10_dx13</th>\n      <th>i10_dx14</th>\n      <th>i10_dx15</th>\n      <th>i10_dx16</th>\n      <th>i10_dx17</th>\n      <th>i10_dx18</th>\n      <th>i10_dx19</th>\n      <th>i10_dx20</th>\n      <th>i10_dx21</th>\n      <th>i10_dx22</th>\n      <th>i10_dx23</th>\n      <th>i10_dx24</th>\n      <th>i10_dx25</th>\n      <th>i10_dx26</th>\n      <th>i10_dx27</th>\n      <th>i10_dx28</th>\n      <th>i10_dx29</th>\n      <th>i10_dx30</th>\n      <th>i10_dx31</th>\n      <th>i10_dx32</th>\n      <th>i10_dx33</th>\n      <th>i10_dx34</th>\n      <th>i10_dx35</th>\n      <th>i10_dx36</th>\n      <th>i10_dx37</th>\n      <th>i10_dx38</th>\n      <th>i10_dx39</th>\n      <th>i10_dx40</th>\n      <th>elective</th>\n      <th>female</th>\n      <th>hcup_ed</th>\n      <th>hosp_nrd_x</th>\n      <th>los</th>\n      <th>mdc</th>\n      <th>mdc_nopoa</th>\n      <th>i10_ndx</th>\n      <th>i10_npr</th>\n      <th>nrd_daystoevent</th>\n      <th>nrd_stratum_x</th>\n      <th>nrd_visitlink</th>\n      <th>pay1</th>\n      <th>pl_nchs</th>\n      <th>i10_pr1</th>\n      <th>i10_pr2</th>\n      <th>i10_pr3</th>\n      <th>i10_pr4</th>\n      <th>i10_pr5</th>\n      <th>i10_pr6</th>\n      <th>i10_pr7</th>\n      <th>i10_pr8</th>\n      <th>i10_pr9</th>\n      <th>i10_pr10</th>\n      <th>i10_pr11</th>\n      <th>i10_pr12</th>\n      <th>i10_pr13</th>\n      <th>i10_pr14</th>\n      <th>i10_pr15</th>\n      <th>i10_pr16</th>\n      <th>i10_pr17</th>\n      <th>i10_pr18</th>\n      <th>i10_pr19</th>\n      <th>i10_pr20</th>\n      <th>i10_pr21</th>\n      <th>i10_pr22</th>\n      <th>i10_pr23</th>\n      <th>i10_pr24</th>\n      <th>i10_pr25</th>\n      <th>prday1</th>\n      <th>prday2</th>\n      <th>prday3</th>\n      <th>prday4</th>\n      <th>prday5</th>\n      <th>prday6</th>\n      <th>prday7</th>\n      <th>prday8</th>\n      <th>prday9</th>\n      <th>prday10</th>\n      <th>prday11</th>\n      <th>prday12</th>\n      <th>prday13</th>\n      <th>prday14</th>\n      <th>prday15</th>\n      <th>prday16</th>\n      <th>prday17</th>\n      <th>prday18</th>\n      <th>prday19</th>\n      <th>prday20</th>\n      <th>prday21</th>\n      <th>prday22</th>\n      <th>prday23</th>\n      <th>prday24</th>\n      <th>prday25</th>\n      <th>rehabtransfer</th>\n      <th>resident</th>\n      <th>samedayevent</th>\n      <th>totchg</th>\n      <th>year_x</th>\n      <th>zipinc_qrtl</th>\n      <th>dxver</th>\n      <th>prver</th>\n      <th>hosp_bedsize</th>\n      <th>h_contrl</th>\n      <th>hosp_urcat4</th>\n      <th>hosp_ur_teach</th>\n      <th>nrd_stratum_y</th>\n      <th>n_disc_u</th>\n      <th>n_hosp_u</th>\n      <th>s_disc_u</th>\n      <th>s_hosp_u</th>\n      <th>total_disc</th>\n      <th>year_y</th>\n      <th>aprdrg</th>\n      <th>aprdrg_risk_mortality</th>\n      <th>aprdrg_severity</th>\n      <th>hosp_nrd_y</th>\n      <th>next_nrdday</th>\n      <th>days_to_readmission</th>\n      <th>index_admission</th>\n      <th>readmission_diagnosis</th>\n      <th>readmission_los</th>\n      <th>preventable_admission</th>\n      <th>pqi_1</th>\n      <th>pqi_3</th>\n      <th>pqi_5</th>\n      <th>pqi_7</th>\n      <th>pqi_8</th>\n      <th>pqi_11</th>\n      <th>pqi_12</th>\n      <th>pqi_14</th>\n      <th>pqi_15</th>\n      <th>pqi_16</th>\n      <th>pqi_5_15_exclusion</th>\n      <th>pqi_7_medical_exclusions</th>\n      <th>pqi_7_procedural_exclusion</th>\n      <th>pqi_7_8_procedural_exclusion</th>\n      <th>pqi_11_exclusion</th>\n      <th>pqi_12_exclusion</th>\n      <th>pqi_immunocompromise_medical_exclusion</th>\n      <th>pqi_immunocompromise_procedural_exclusion</th>\n      <th>pqi_16_exclusion_procedure</th>\n      <th>pqi_16_amputation_procedure</th>\n      <th>medical_admission</th>\n      <th>hfrs_score</th>\n      <th>hfrs_severity</th>\n      <th>cc_score</th>\n      <th>cc_severity</th>\n      <th>cc_MI</th>\n      <th>cc_CHF</th>\n      <th>cc_PVD</th>\n      <th>cc_CVD</th>\n      <th>cc_dementia</th>\n      <th>cc_COPD</th>\n      <th>cc_rheum</th>\n      <th>cc_peptic_ulcer</th>\n      <th>cc_mild_liver_disease</th>\n      <th>cc_diabetes_wo_complications</th>\n      <th>cc_diabetes_w_complications</th>\n      <th>cc_plegia</th>\n      <th>cc_renal</th>\n      <th>cc_malignancy</th>\n      <th>cc_severe_liver</th>\n      <th>cc_metastasis</th>\n      <th>cc_AIDS</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2.017114e+11</td>\n      <td>88.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.805447</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>2.0</td>\n      <td>470.0</td>\n      <td>34.0</td>\n      <td>470.0</td>\n      <td>M1712</td>\n      <td>I10</td>\n      <td>L309</td>\n      <td>K5190</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42214.0</td>\n      <td>1.0</td>\n      <td>8.0</td>\n      <td>8.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>13979.0</td>\n      <td>447.0</td>\n      <td>e0007w8</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0SRD0J9</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>43848.0</td>\n      <td>2017.0</td>\n      <td>2.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>447</td>\n      <td>636191</td>\n      <td>24</td>\n      <td>332444</td>\n      <td>15</td>\n      <td>21737</td>\n      <td>2017</td>\n      <td>302.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42214.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2.017057e+11</td>\n      <td>49.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.492757</td>\n      <td>1.0</td>\n      <td>6.0</td>\n      <td>2.0</td>\n      <td>386.0</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K50812</td>\n      <td>G40909</td>\n      <td>J449</td>\n      <td>F17210</td>\n      <td>F329</td>\n      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<td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>41241.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>23.0</td>\n      <td>0.0</td>\n      <td>19441.0</td>\n      <td>480.0</td>\n      <td>e000v23</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      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<th>3</th>\n      <td>2.017130e+11</td>\n      <td>37.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.114798</td>\n      <td>1.0</td>\n      <td>7.0</td>\n      <td>3.0</td>\n      <td>897.0</td>\n      <td>34.0</td>\n      <td>897.0</td>\n      <td>F10230</td>\n      <td>E876</td>\n      <td>K5190</td>\n      <td>R45851</td>\n      <td>R45850</td>\n      <td>F17210</td>\n      <td>Y901</td>\n      <td>F329</td>\n      <td>Y9289</td>\n      <td>F419</td>\n      <td>F259</td>\n      <td>S62337A</td>\n      <td>E872</td>\n      <td>Z590</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      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<td>121265.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>139.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>41084.0</td>\n      <td>15120.0</td>\n      <td>57.0</td>\n      <td>1</td>\n      <td>T865</td>\n      <td>21.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>3.900391</td>\n      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<td>Y830</td>\n      <td>T367X5A</td>\n      <td>Y92230</td>\n      <td>G4700</td>\n      <td>Z9089</td>\n      <td>Z881</td>\n      <td>Z9049</td>\n      <td>Y92039</td>\n      <td>E806</td>\n      <td>B348</td>\n      <td>E785</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>21.0</td>\n      <td>21.0</td>\n      <td>21.0</td>\n      <td>27.0</td>\n      <td>5.0</td>\n      <td>15120.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0DB58ZX</td>\n      <td>0DB98ZX</td>\n      <td>0DBN8ZX</td>\n      <td>0DB68ZX</td>\n      <td>XW03341</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>594335.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>660.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>15185.0</td>\n      <td>44.0</td>\n      <td>1</td>\n      <td>J205</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>5.101562</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>140717</th>\n      <td>2.017035e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>12.0</td>\n      <td>4.0</td>\n      <td>202.0</td>\n      <td>35.0</td>\n      <td>202.0</td>\n      <td>J205</td>\n      <td>N170</td>\n      <td>E785</td>\n      <td>T8609</td>\n      <td>E871</td>\n      <td>K5090</td>\n      <td>D61818</td>\n      <td>E039</td>\n      <td>E440</td>\n      <td>G4700</td>\n      <td>D89810</td>\n      <td>B259</td>\n      <td>D801</td>\n      <td>Z006</td>\n      <td>I10</td>\n      <td>Z6821</td>\n      <td>Y848</td>\n      <td>Y92039</td>\n      <td>T380X5A</td>\n      <td>H04123</td>\n      <td>D469</td>\n      <td>R739</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>2.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>22.0</td>\n      <td>0.0</td>\n      <td>15185.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>90757.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>144.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.800781</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>140718</th>\n      <td>2.017032e+11</td>\n      <td>54.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.858673</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>387.0</td>\n      <td>34.0</td>\n      <td>387.0</td>\n      <td>K51911</td>\n      <td>I10</td>\n      <td>K649</td>\n      <td>K30</td>\n      <td>K219</td>\n      <td>D509</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42659.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>3.0</td>\n      <td>22917.0</td>\n      <td>435.0</td>\n      <td>ezzz5ob</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0DBP8ZX</td>\n      <td>30233N1</td>\n      <td>0DBN8ZX</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>35391.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>435</td>\n      <td>2849102</td>\n      <td>73</td>\n      <td>1360786</td>\n      <td>41</td>\n      <td>17007</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42659.0</td>\n      <td>22935.0</td>\n      <td>15.0</td>\n      <td>1</td>\n      <td>K51911</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>140719</th>\n      <td>2.017154e+11</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.858673</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>386.0</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K51911</td>\n      <td>F330</td>\n      <td>Z87891</td>\n      <td>K5900</td>\n      <td>K649</td>\n      <td>I10</td>\n      <td>K219</td>\n      <td>D649</td>\n      <td>R45851</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>44321.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>9.0</td>\n      <td>0.0</td>\n      <td>22935.0</td>\n      <td>435.0</td>\n      <td>ezzz5ob</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>27415.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>435</td>\n      <td>2849102</td>\n      <td>73</td>\n      <td>1360786</td>\n      <td>41</td>\n      <td>17113</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>44321.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.898438</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>140720 rows × 186 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 8
    }
   ],
   "source": [
    "# Now we need to carve out the cohort by removing any patients who are younger than 18 and do not have an IBD diagnosis between January - June 2017 (the first 6 months).\n",
    "\n",
    "# First we'll create a list of patients who are not adults (ages 17 and under) and filter it for unique nrd_visitlink ID's.\n",
    "# This list automatically removes any patients who may have turned 18 after their initial diagnosis when they were 17.\n",
    "not_adult = [row.nrd_visitlink for row in tqdm(cohort_file.itertuples(index=False)) if row.age < 18]\n",
    "not_adult_unique = np.unique(not_adult)\n",
    "\n",
    "# Create a list of patients from the dataframe that are not in the list of patients who are ages 17 and under and filter for unique nrd_visitlinks.\n",
    "adult_patients = [row.nrd_visitlink for row in tqdm(cohort_file.itertuples(index=False)) if row.nrd_visitlink not in not_adult_unique]\n",
    "adult_patients_unique = np.unique(adult_patients)\n",
    "\n",
    "print(f'\\nNumber of unique patients in the cohort: {len(adult_patients_unique):,}')\n",
    "\n",
    "# A dictionary that will map a 1 for every row that has a nrd_visitlink in the adult_patients_unique list, this allows us to quickly create a new dataframe with only the cohort\n",
    "# required.\n",
    "unique_adults_dict = {value:1 for value in adult_patients_unique}\n",
    "\n",
    "# Create a new column called in_cohort by mapping the nrd_visitlinks values from the dicionary unique_adults_dict.\n",
    "cohort_file[\"in_cohort\"] = cohort_file[\"nrd_visitlink\"].map(unique_adults_dict)\n",
    "\n",
    "# Use masking to create a dataframe which only has the patients that we are looking for, where in_cohort == 1.\n",
    "masking = cohort_file[\"in_cohort\"].values == 1\n",
    "defined_cohort_file = cohort_file.loc[masking]\n",
    "\n",
    "# Drop the unnecessary column and reset the index.\n",
    "defined_cohort_file.drop(columns=['in_cohort']).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reset the index in case we need to reference it later.\n",
    "defined_cohort_file = defined_cohort_file.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Patients Who Had an IBD Related Discharge in the First 6 Months <a class=\"anchor\" id=\"sixmonthibd\"></a>\n",
    "### - only patients who had an ibd related diagnosis in the first five diagnosis columns (i10_dx1 - i10_dx5) and in the first 6 months (January - June) will be included\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a list of column names.\n",
    "new_column_list = defined_cohort_file.columns.to_list()\n",
    "\n",
    "# This dictionary holds the fill in values for any blanks or NaN's in the data for the columns beginning with 'i10_dx'.\n",
    "# If there is no discharge diagnosis, it will be filled in with a value of '' so we can iterate through the rows without any errors below for NaN's.\n",
    "new_fill_values = {}\n",
    "\n",
    "# i10_dx_columns will hold the column's numerical position, example: i10_dx1 is the 10th column (starting from 0).\n",
    "# This will be used later to loop through the diagnosis columns specifically.\n",
    "new_i10_dx_columns = []\n",
    "\n",
    "# copy_columns will hold a list of columns that begin with 'i10_dx', initiate with dmonth and nrd_visitlink since we need those as well.\n",
    "new_copy_columns = ['dmonth', 'nrd_visitlink']\n",
    "\n",
    "# counter initialized at 2 because we have 2 items already in the copy_columns list.\n",
    "new_counter = 2\n",
    "\n",
    "# This loop goes through the columns in the defined_cohort_file dataframe, finds the columns beginning with 'i10_dx', adds them to the dictionary and counts their position.\n",
    "for column in new_column_list:\n",
    "    if 'i10_dx' in column:\n",
    "        new_fill_values.update({column: ''})\n",
    "        new_i10_dx_columns.append(new_counter)\n",
    "        new_copy_columns.append(column)\n",
    "        new_counter += 1\n",
    "\n",
    "# If all i10_dx columns are required, uncomment and run the following line of code. Comment out the other lines of code below in this block.\n",
    "# new_i10_dx_df = defined_cohort_file[new_copy_columns].copy().fillna(value = new_fill_values) -----------------------------------------uncomment this for original data\n",
    "\n",
    "# Grab the first 5 column values only.\n",
    "new_i10_dx_columns = new_i10_dx_columns[0:5]\n",
    "new_copy_columns = new_copy_columns[0:7]\n",
    "\n",
    "# Since we only need to fill in the first 5 diagnosis columns which may have NaN values, we'll shorten the dictionary to just those columns.\n",
    "new_fill_values = {key: new_fill_values[key] for key in list(new_fill_values)[:5]}\n",
    "\n",
    "# Create a copy of the original dataframe, including only specified columns, fill in NaN with ''.\n",
    "new_i10_dx_df = defined_cohort_file[new_copy_columns].copy().fillna(value = new_fill_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "140720it [00:00, 258088.33it/s]\n"
     ]
    }
   ],
   "source": [
    "# Create a list of patient ID's who have an IBD related index hospitalization between January - June 2017 (the first 6 months).\n",
    "new_patient_list = []\n",
    "new_patient_list = [row.nrd_visitlink for row in tqdm(new_i10_dx_df.itertuples(index=False)) for position in new_i10_dx_columns if row.dmonth < 7 and 'K50' in row[position] or row.dmonth < 7 and 'K51' in row[position]]\n",
    "\n",
    "new_unique_patients = np.unique(new_patient_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       " ezzyha7   1.0      3.0     <NA>     <NA>     <NA>     <NA>   \n",
       "82400       ezzz5ob   1.0      2.0  0DBP8ZX  30233N1  0DBN8ZX     <NA>   \n",
       "82401       ezzz5ob   1.0      2.0     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "       i10_pr5 i10_pr6 i10_pr7 i10_pr8 i10_pr9 i10_pr10 i10_pr11 i10_pr12  \\\n",
       "0         <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "1         <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "2         <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "3         <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "4         <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "...        ...     ...     ...     ...     ...      ...      ...      ...   \n",
       "82397     <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "82398  XW03341    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "82399     <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "82400     <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "82401     <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "      i10_pr13 i10_pr14 i10_pr15 i10_pr16 i10_pr17 i10_pr18 i10_pr19 i10_pr20  \\\n",
       "0         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "82397     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "82398     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "82399     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "82400     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "82401     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "      i10_pr21 i10_pr22 i10_pr23 i10_pr24 i10_pr25  prday1  prday2  prday3  \\\n",
       "0         <NA>     <NA>     <NA>     <NA>     <NA>     0.0     NaN     NaN   \n",
       "1         <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "2         <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "3         <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "4         <NA>     <NA>     <NA>     <NA>     <NA>     0.0     0.0     NaN   \n",
       "...        ...      ...      ...      ...      ...     ...     ...     ...   \n",
       "82397     <NA>     <NA>     <NA>     <NA>     <NA>     1.0     NaN     NaN   \n",
       "82398     <NA>     <NA>     <NA>     <NA>     <NA>     1.0     1.0     1.0   \n",
       "82399     <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "82400     <NA>     <NA>     <NA>     <NA>     <NA>     1.0     0.0     1.0   \n",
       "82401     <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "\n",
       "       prday4  prday5  prday6  prday7  prday8  prday9  prday10  prday11  \\\n",
       "0         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "1         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "2         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "3         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "4         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "...       ...     ...     ...     ...     ...     ...      ...      ...   \n",
       "82397     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82398     1.0    10.0     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82399     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82400     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82401     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "\n",
       "       prday12  prday13  prday14  prday15  prday16  prday17  prday18  prday19  \\\n",
       "0          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "1          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "3          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "4          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "82397      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82398      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82399      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82400      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82401      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "\n",
       "       prday20  prday21  prday22  prday23  prday24  prday25  rehabtransfer  \\\n",
       "0          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "1          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "2          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "3          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "4          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "...        ...      ...      ...      ...      ...      ...            ...   \n",
       "82397      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82398      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82399      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82400      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82401      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "\n",
       "       resident  samedayevent    totchg  year_x  zipinc_qrtl  dxver  prver  \\\n",
       "0           1.0           0.0   43848.0  2017.0          2.0   10.0   10.0   \n",
       "1           1.0           0.0   11700.0  2017.0          2.0   10.0   10.0   \n",
       "2           1.0           0.0   38599.0  2017.0          3.0   10.0   10.0   \n",
       "3           1.0           0.0   28192.0  2017.0          4.0   10.0   10.0   \n",
       "4           1.0           0.0  103023.0  2017.0          4.0   10.0   10.0   \n",
       "...         ...           ...       ...     ...          ...    ...    ...   \n",
       "82397       1.0           0.0  121265.0  2017.0          3.0   10.0   10.0   \n",
       "82398       1.0           0.0  594335.0  2017.0          3.0   10.0   10.0   \n",
       "82399       1.0           0.0   90757.0  2017.0          3.0   10.0   10.0   \n",
       "82400       1.0           0.0   35391.0  2017.0          1.0   10.0   10.0   \n",
       "82401       1.0           0.0   27415.0  2017.0          1.0   10.0   10.0   \n",
       "\n",
       "       hosp_bedsize  h_contrl  hosp_urcat4  hosp_ur_teach  nrd_stratum_y  \\\n",
       "0               3.0       1.0          2.0            1.0            447   \n",
       "1               2.0       2.0          4.0            2.0            452   \n",
       "2               3.0       2.0          3.0            2.0            461   \n",
       "3               3.0       2.0          1.0            1.0            441   \n",
       "4               2.0       2.0          1.0            1.0            496   \n",
       "...             ...       ...          ...            ...            ...   \n",
       "82397           3.0       2.0          1.0            1.0            441   \n",
       "82398           3.0       2.0          1.0            1.0            441   \n",
       "82399           3.0       2.0          1.0            1.0            441   \n",
       "82400           3.0       2.0          1.0            1.0            435   \n",
       "82401           3.0       2.0          1.0            1.0            435   \n",
       "\n",
       "       n_disc_u  n_hosp_u  s_disc_u  s_hosp_u  total_disc  year_y  aprdrg  \\\n",
       "0        636191        24    332444        15       21737    2017   302.0   \n",
       "1         18409         9     11959         7        2872    2017   245.0   \n",
       "2        153598        41     70994        23        4374    2017   245.0   \n",
       "3       1482670        59    887925        44       17848    2017   247.0   \n",
       "4        726416        50    428437        37       10792    2017   231.0   \n",
       "...         ...       ...       ...       ...         ...     ...     ...   \n",
       "82397   1482670        59    887925        44       18731    2017   139.0   \n",
       "82398   1482670        59    887925        44       18731    2017   660.0   \n",
       "82399   1482670        59    887925        44       18731    2017   144.0   \n",
       "82400   2849102        73   1360786        41       17007    2017   245.0   \n",
       "82401   2849102        73   1360786        41       17113    2017   245.0   \n",
       "\n",
       "       aprdrg_risk_mortality  aprdrg_severity  hosp_nrd_y  next_nrdday  \\\n",
       "0                        1.0              2.0     42214.0          NaN   \n",
       "1                        1.0              1.0     41827.0          NaN   \n",
       "2                        1.0              1.0     42416.0          NaN   \n",
       "3                        1.0              1.0     43509.0      18633.0   \n",
       "4                        1.0              2.0     42947.0          NaN   \n",
       "...                      ...              ...         ...          ...   \n",
       "82397                    2.0              3.0     41084.0      15120.0   \n",
       "82398                    3.0              4.0     41084.0      15185.0   \n",
       "82399                    3.0              4.0     41084.0          NaN   \n",
       "82400                    1.0              2.0     42659.0      22935.0   \n",
       "82401                    1.0              2.0     44321.0          NaN   \n",
       "\n",
       "       days_to_readmission  index_admission readmission_diagnosis  \\\n",
       "0                      NaN                1                   NaN   \n",
       "1                      NaN                1                   NaN   \n",
       "2                      NaN                1                   NaN   \n",
       "3                    284.0                1                 K5720   \n",
       "4                      NaN                1                   NaN   \n",
       "...                    ...              ...                   ...   \n",
       "82397                 57.0                1                  T865   \n",
       "82398                 44.0                1                  J205   \n",
       "82399                  NaN                0                   NaN   \n",
       "82400                 15.0                1                K51911   \n",
       "82401                  NaN                1                   NaN   \n",
       "\n",
       "       readmission_los  preventable_admission  pqi_1  pqi_3  pqi_5  pqi_7  \\\n",
       "0                  NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "1                  NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "2                  NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "3                  6.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "4                  NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "...                ...                    ...    ...    ...    ...    ...   \n",
       "82397             21.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "82398              2.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "82399              NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "82400              3.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "82401              NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "\n",
       "       pqi_8  pqi_11  pqi_12  pqi_14  pqi_15  pqi_16  pqi_5_15_exclusion  \\\n",
       "0        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "1        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "2        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "3        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "4        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "...      ...     ...     ...     ...     ...     ...                 ...   \n",
       "82397    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "82398    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "82399    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "82400    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "82401    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "\n",
       "       pqi_7_medical_exclusions  pqi_7_procedural_exclusion  \\\n",
       "0                           0.0                         0.0   \n",
       "1                           0.0                         0.0   \n",
       "2                           0.0                         0.0   \n",
       "3                           0.0                         0.0   \n",
       "4                           0.0                         0.0   \n",
       "...                         ...                         ...   \n",
       "82397                       0.0                         0.0   \n",
       "82398                       0.0                         0.0   \n",
       "82399                       0.0                         0.0   \n",
       "82400                       0.0                         0.0   \n",
       "82401                       0.0                         0.0   \n",
       "\n",
       "       pqi_7_8_procedural_exclusion  pqi_11_exclusion  pqi_12_exclusion  \\\n",
       "0                               0.0               0.0               0.0   \n",
       "1                               0.0               0.0               0.0   \n",
       "2                               0.0               0.0               0.0   \n",
       "3                               0.0               0.0               0.0   \n",
       "4                               0.0               0.0               0.0   \n",
       "...                             ...               ...               ...   \n",
       "82397                           0.0               0.0               0.0   \n",
       "82398                           0.0               0.0               0.0   \n",
       "82399                           0.0               0.0               0.0   \n",
       "82400                           0.0               0.0               0.0   \n",
       "82401                           0.0               0.0               0.0   \n",
       "\n",
       "       pqi_immunocompromise_medical_exclusion  \\\n",
       "0                                         0.0   \n",
       "1                                         0.0   \n",
       "2                                         0.0   \n",
       "3                                         0.0   \n",
       "4                                         0.0   \n",
       "...                                       ...   \n",
       "82397                                     1.0   \n",
       "82398                                     1.0   \n",
       "82399                                     1.0   \n",
       "82400                                     0.0   \n",
       "82401                                     0.0   \n",
       "\n",
       "       pqi_immunocompromise_procedural_exclusion  pqi_16_exclusion_procedure  \\\n",
       "0                                            0.0                         0.0   \n",
       "1                                            0.0                         0.0   \n",
       "2                                            0.0                         0.0   \n",
       "3                                            0.0                         0.0   \n",
       "4                                            0.0                         0.0   \n",
       "...                                          ...                         ...   \n",
       "82397                                        0.0                         0.0   \n",
       "82398                                        0.0                         0.0   \n",
       "82399                                        0.0                         0.0   \n",
       "82400                                        0.0                         0.0   \n",
       "82401                                        0.0                         0.0   \n",
       "\n",
       "       pqi_16_amputation_procedure  medical_admission  hfrs_score  \\\n",
       "0                              0.0                0.0    0.000000   \n",
       "1                              0.0                1.0    2.000000   \n",
       "2                              0.0                1.0    2.400391   \n",
       "3                              0.0                1.0    1.799805   \n",
       "4                              0.0                0.0    0.000000   \n",
       "...                            ...                ...         ...   \n",
       "82397                          0.0                1.0    3.900391   \n",
       "82398                          0.0                1.0    5.101562   \n",
       "82399                          0.0                1.0    4.800781   \n",
       "82400                          0.0                1.0    0.000000   \n",
       "82401                          0.0                1.0    4.898438   \n",
       "\n",
       "       hfrs_severity  cc_score  cc_severity  cc_MI  cc_CHF  cc_PVD  cc_CVD  \\\n",
       "0                0.0       0.0          0.0      0       0       0       0   \n",
       "1                0.0       1.0          0.0      0       0       0       0   \n",
       "2                0.0       1.0          0.0      0       0       0       0   \n",
       "3                0.0       0.0          0.0      0       0       0       0   \n",
       "4                0.0       0.0          0.0      0       0       0       0   \n",
       "...              ...       ...          ...    ...     ...     ...     ...   \n",
       "82397            0.0       2.0          0.0      0       0       0       0   \n",
       "82398            1.0       2.0          0.0      0       0       0       0   \n",
       "82399            0.0       2.0          0.0      0       0       0       0   \n",
       "82400            0.0       0.0          0.0      0       0       0       0   \n",
       "82401            0.0       0.0          0.0      0       0       0       0   \n",
       "\n",
       "       cc_dementia  cc_COPD  cc_rheum  cc_peptic_ulcer  cc_mild_liver_disease  \\\n",
       "0                0        0         0                0                      0   \n",
       "1                0        1         0                0                      0   \n",
       "2                0        1         0                0                      0   \n",
       "3                0        0         0                0                      0   \n",
       "4                0        0         0                0                      0   \n",
       "...            ...      ...       ...              ...                    ...   \n",
       "82397            0        0         0                0                      0   \n",
       "82398            0        0         0                0                      0   \n",
       "82399            0        0         0                0                      0   \n",
       "82400            0        0         0                0                      0   \n",
       "82401            0        0         0                0                      0   \n",
       "\n",
       "       cc_diabetes_wo_complications  cc_diabetes_w_complications  cc_plegia  \\\n",
       "0                                 0                            0          0   \n",
       "1                                 0                            0          0   \n",
       "2                                 0                            0          0   \n",
       "3                                 0                            0          0   \n",
       "4                                 0                            0          0   \n",
       "...                             ...                          ...        ...   \n",
       "82397                             0                            0          0   \n",
       "82398                             0                            0          0   \n",
       "82399                             0                            0          0   \n",
       "82400                             0                            0          0   \n",
       "82401                             0                            0          0   \n",
       "\n",
       "       cc_renal  cc_malignancy  cc_severe_liver  cc_metastasis  cc_AIDS  \n",
       "0             0              0                0              0        0  \n",
       "1             0              0                0              0        0  \n",
       "2             0              0                0              0        0  \n",
       "3             0              0                0              0        0  \n",
       "4             0              0                0              0        0  \n",
       "...         ...            ...              ...            ...      ...  \n",
       "82397         0              1                0              0        0  \n",
       "82398         0              1                0              0        0  \n",
       "82399         0              1                0              0        0  \n",
       "82400         0              0                0              0        0  \n",
       "82401         0              0                0              0        0  \n",
       "\n",
       "[82402 rows x 186 columns]"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>key_nrd</th>\n      <th>age</th>\n      <th>aweekend</th>\n      <th>died</th>\n      <th>discwt</th>\n      <th>dispuniform</th>\n      <th>dmonth</th>\n      <th>dqtr</th>\n      <th>drg</th>\n      <th>drgver</th>\n      <th>drg_nopoa</th>\n      <th>i10_dx1</th>\n      <th>i10_dx2</th>\n      <th>i10_dx3</th>\n      <th>i10_dx4</th>\n      <th>i10_dx5</th>\n      <th>i10_dx6</th>\n      <th>i10_dx7</th>\n      <th>i10_dx8</th>\n      <th>i10_dx9</th>\n      <th>i10_dx10</th>\n      <th>i10_dx11</th>\n      <th>i10_dx12</th>\n      <th>i10_dx13</th>\n      <th>i10_dx14</th>\n      <th>i10_dx15</th>\n      <th>i10_dx16</th>\n      <th>i10_dx17</th>\n      <th>i10_dx18</th>\n      <th>i10_dx19</th>\n      <th>i10_dx20</th>\n      <th>i10_dx21</th>\n      <th>i10_dx22</th>\n      <th>i10_dx23</th>\n      <th>i10_dx24</th>\n      <th>i10_dx25</th>\n      <th>i10_dx26</th>\n      <th>i10_dx27</th>\n      <th>i10_dx28</th>\n      <th>i10_dx29</th>\n      <th>i10_dx30</th>\n      <th>i10_dx31</th>\n      <th>i10_dx32</th>\n      <th>i10_dx33</th>\n      <th>i10_dx34</th>\n      <th>i10_dx35</th>\n      <th>i10_dx36</th>\n      <th>i10_dx37</th>\n      <th>i10_dx38</th>\n      <th>i10_dx39</th>\n      <th>i10_dx40</th>\n      <th>elective</th>\n      <th>female</th>\n      <th>hcup_ed</th>\n      <th>hosp_nrd_x</th>\n      <th>los</th>\n      <th>mdc</th>\n      <th>mdc_nopoa</th>\n      <th>i10_ndx</th>\n      <th>i10_npr</th>\n      <th>nrd_daystoevent</th>\n      <th>nrd_stratum_x</th>\n      <th>nrd_visitlink</th>\n      <th>pay1</th>\n      <th>pl_nchs</th>\n      <th>i10_pr1</th>\n      <th>i10_pr2</th>\n      <th>i10_pr3</th>\n      <th>i10_pr4</th>\n      <th>i10_pr5</th>\n      <th>i10_pr6</th>\n      <th>i10_pr7</th>\n      <th>i10_pr8</th>\n      <th>i10_pr9</th>\n      <th>i10_pr10</th>\n      <th>i10_pr11</th>\n      <th>i10_pr12</th>\n      <th>i10_pr13</th>\n      <th>i10_pr14</th>\n      <th>i10_pr15</th>\n      <th>i10_pr16</th>\n      <th>i10_pr17</th>\n      <th>i10_pr18</th>\n      <th>i10_pr19</th>\n      <th>i10_pr20</th>\n      <th>i10_pr21</th>\n      <th>i10_pr22</th>\n      <th>i10_pr23</th>\n      <th>i10_pr24</th>\n      <th>i10_pr25</th>\n      <th>prday1</th>\n      <th>prday2</th>\n      <th>prday3</th>\n      <th>prday4</th>\n      <th>prday5</th>\n      <th>prday6</th>\n      <th>prday7</th>\n      <th>prday8</th>\n      <th>prday9</th>\n      <th>prday10</th>\n      <th>prday11</th>\n      <th>prday12</th>\n      <th>prday13</th>\n      <th>prday14</th>\n      <th>prday15</th>\n      <th>prday16</th>\n      <th>prday17</th>\n      <th>prday18</th>\n      <th>prday19</th>\n      <th>prday20</th>\n      <th>prday21</th>\n      <th>prday22</th>\n      <th>prday23</th>\n      <th>prday24</th>\n      <th>prday25</th>\n      <th>rehabtransfer</th>\n      <th>resident</th>\n      <th>samedayevent</th>\n      <th>totchg</th>\n      <th>year_x</th>\n      <th>zipinc_qrtl</th>\n      <th>dxver</th>\n      <th>prver</th>\n      <th>hosp_bedsize</th>\n      <th>h_contrl</th>\n      <th>hosp_urcat4</th>\n      <th>hosp_ur_teach</th>\n      <th>nrd_stratum_y</th>\n      <th>n_disc_u</th>\n      <th>n_hosp_u</th>\n      <th>s_disc_u</th>\n      <th>s_hosp_u</th>\n      <th>total_disc</th>\n      <th>year_y</th>\n      <th>aprdrg</th>\n      <th>aprdrg_risk_mortality</th>\n      <th>aprdrg_severity</th>\n      <th>hosp_nrd_y</th>\n      <th>next_nrdday</th>\n      <th>days_to_readmission</th>\n      <th>index_admission</th>\n      <th>readmission_diagnosis</th>\n      <th>readmission_los</th>\n      <th>preventable_admission</th>\n      <th>pqi_1</th>\n      <th>pqi_3</th>\n      <th>pqi_5</th>\n      <th>pqi_7</th>\n      <th>pqi_8</th>\n      <th>pqi_11</th>\n      <th>pqi_12</th>\n      <th>pqi_14</th>\n      <th>pqi_15</th>\n      <th>pqi_16</th>\n      <th>pqi_5_15_exclusion</th>\n      <th>pqi_7_medical_exclusions</th>\n      <th>pqi_7_procedural_exclusion</th>\n      <th>pqi_7_8_procedural_exclusion</th>\n      <th>pqi_11_exclusion</th>\n      <th>pqi_12_exclusion</th>\n      <th>pqi_immunocompromise_medical_exclusion</th>\n      <th>pqi_immunocompromise_procedural_exclusion</th>\n      <th>pqi_16_exclusion_procedure</th>\n      <th>pqi_16_amputation_procedure</th>\n      <th>medical_admission</th>\n      <th>hfrs_score</th>\n      <th>hfrs_severity</th>\n      <th>cc_score</th>\n      <th>cc_severity</th>\n      <th>cc_MI</th>\n      <th>cc_CHF</th>\n      <th>cc_PVD</th>\n      <th>cc_CVD</th>\n      <th>cc_dementia</th>\n      <th>cc_COPD</th>\n      <th>cc_rheum</th>\n      <th>cc_peptic_ulcer</th>\n      <th>cc_mild_liver_disease</th>\n      <th>cc_diabetes_wo_complications</th>\n      <th>cc_diabetes_w_complications</th>\n      <th>cc_plegia</th>\n      <th>cc_renal</th>\n      <th>cc_malignancy</th>\n      <th>cc_severe_liver</th>\n      <th>cc_metastasis</th>\n      <th>cc_AIDS</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2.017114e+11</td>\n      <td>88.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.805447</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>2.0</td>\n      <td>470.0</td>\n      <td>34.0</td>\n      <td>470.0</td>\n      <td>M1712</td>\n      <td>I10</td>\n      <td>L309</td>\n      <td>K5190</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42214.0</td>\n      <td>1.0</td>\n      <td>8.0</td>\n      <td>8.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>13979.0</td>\n      <td>447.0</td>\n      <td>e0007w8</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0SRD0J9</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>43848.0</td>\n      <td>2017.0</td>\n      <td>2.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>447</td>\n      <td>636191</td>\n      <td>24</td>\n      <td>332444</td>\n      <td>15</td>\n      <td>21737</td>\n      <td>2017</td>\n      <td>302.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42214.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2.017057e+11</td>\n      <td>49.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.492757</td>\n      <td>1.0</td>\n      <td>6.0</td>\n      <td>2.0</td>\n      <td>386.0</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K50812</td>\n      <td>G40909</td>\n      <td>J449</td>\n      <td>F17210</td>\n      <td>F329</td>\n      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<td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>11700.0</td>\n      <td>2017.0</td>\n      <td>2.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>452</td>\n      <td>18409</td>\n      <td>9</td>\n      <td>11959</td>\n      <td>7</td>\n      <td>2872</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>41827.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.000000</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2.017132e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.984195</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>386.0</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K50912</td>\n      <td>E039</td>\n      <td>M1990</td>\n      <td>K219</td>\n      <td>I10</td>\n      <td>R630</td>\n      <td>F17210</td>\n      <td>G43909</td>\n      <td>Z885</td>\n      <td>E785</td>\n      <td>Z79891</td>\n      <td>Z7982</td>\n      <td>M549</td>\n      <td>J449</td>\n      <td>G8929</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42416.0</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>15.0</td>\n      <td>0.0</td>\n      <td>13002.0</td>\n      <td>461.0</td>\n      <td>e0021xf</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>38599.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>461</td>\n      <td>153598</td>\n      <td>41</td>\n      <td>70994</td>\n      <td>23</td>\n      <td>4374</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>42416.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.400391</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2.017071e+11</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.389702</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>389.0</td>\n      <td>34.0</td>\n      <td>389.0</td>\n      <td>K5669</td>\n      <td>K5010</td>\n      <td>E663</td>\n      <td>Z885</td>\n      <td>Z6826</td>\n      <td>I10</td>\n      <td>K5900</td>\n      <td>F909</td>\n      <td>F3342</td>\n      <td>Z883</td>\n      <td>K5732</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>43509.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>11.0</td>\n      <td>0.0</td>\n      <td>18346.0</td>\n      <td>441.0</td>\n      <td>e002hi0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>28192.0</td>\n      <td>2017.0</td>\n      <td>4.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>17848</td>\n      <td>2017</td>\n      <td>247.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>43509.0</td>\n      <td>18633.0</td>\n      <td>284.0</td>\n      <td>1</td>\n      <td>K5720</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>1.799805</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      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<td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>82402 rows × 186 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 12
    }
   ],
   "source": [
    "# A dictionary that will map a 1 for every row that has a nrd_visitlink in the new_unique_patients list, this allows us to quickly create a new dataframe with only the cohort\n",
    "# required.\n",
    "unique_final_dict = {value:1 for value in new_unique_patients}\n",
    "\n",
    "# Create a new column called in_cohort by mapping the nrd_visitlinks values from the dicionary unique_adults_dict.\n",
    "defined_cohort_file[\"in_cohort\"] = defined_cohort_file[\"nrd_visitlink\"].map(unique_final_dict)\n",
    "\n",
    "# Use masking to create a dataframe which only has the patients that we are looking for, where in_cohort == 1.\n",
    "masking = defined_cohort_file[\"in_cohort\"].values == 1\n",
    "final_cohort_file = defined_cohort_file.loc[masking]\n",
    "\n",
    "# Drop the unnecessary column and reset the index.\n",
    "final_cohort_file = final_cohort_file.drop(columns=['in_cohort']).reset_index(drop=True)\n",
    "\n",
    "# Sort the file in ascending order based on the values of the 'nrd_visitlink' column so all of the patient visits are grouped together.\n",
    "# Secondly, sort by 'dmonth' so that the patients are sorted from January through December.\n",
    "final_cohort_file = final_cohort_file.sort_values(by=['nrd_visitlink', 'dmonth']).reset_index(drop=True)\n",
    "\n",
    "final_cohort_file"
   ]
  },
  {
   "source": [
    "## Total Patients, Unique Patients, Total Hospitalizations <a class=\"anchor\" id=\"totals\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Total number of patients in the cohort: 49,164\n\nNumber of unique patients in the cohort: 40,177\n\nTotal number of hospital visits spread across all patients in the cohort: 82,402\n"
     ]
    }
   ],
   "source": [
    "print(f'Total number of patients in the cohort: {len(new_patient_list):,}') #94,389 if using all i10_dx columns\n",
    "\n",
    "# A new list of unique patient ID's from patient_list.\n",
    "print(f'\\nNumber of unique patients in the cohort: {len(new_unique_patients):,}') #70,483  if using all i10_dx columns\n",
    "\n",
    "# How many hospital visits are there?\n",
    "print(f'\\nTotal number of hospital visits spread across all patients in the cohort: {len(final_cohort_file):,}') #139,265  if using all i10_dx columns"
   ]
  },
  {
   "source": [
    "# Creating Additional Columns <a class=\"anchor\" id=\"newcolumns\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ibd_diagnosis <a class=\"anchor\" id=\"ibddiagnosis\"></a>\n",
    "### - counts how many ibd related diagnoses a patient had, incrementing by 1 per each visit where they had an additional ibd diagnosis.\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a new column called 'ibd_diagnosis' and initialize with a 0 to start.\n",
    "final_cohort_file['ibd_diagnosis'] = 0\n",
    "\n",
    "# Create a list of column names that include i10_dx.\n",
    "diagnoses = [column for column in column_list if 'i10_dx' in column]\n",
    "\n",
    "# Initialize a variable at 1 to correspond with the first i10_dx column.\n",
    "x = 1\n",
    "\n",
    "# For each column in the diagnoses list (i10_dx1 - i10_dx40), create a new column with the corresponding discharge number (ex: index1, index2, etc) and fill in a 1 if they had an\n",
    "# IBD related diagnosis in that column (ex: if K50 in i10_dx3 then fill in a 1 for that row in index3).\n",
    "for column in diagnoses:\n",
    "    final_cohort_file[f'index{x}'] = 0\n",
    "    final_cohort_file.loc[final_cohort_file[column].str.contains('K50|K51'), f'index{x}'] = 1\n",
    "    x += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a list of columns from the dataframe.\n",
    "index_columns = final_cohort_file.columns.to_list()\n",
    "\n",
    "# Initialize a list to hold the numerical position of the columns and a counter.\n",
    "index_column_positions = []\n",
    "y = 0\n",
    "\n",
    "# Create a list of columns only if they include 'index' in their name (these are the new columns we just created).\n",
    "for column in index_columns:\n",
    "    if 'index' in column:\n",
    "        index_column_positions.append(y)\n",
    "    y += 1\n",
    "\n",
    "# ibd_counts is a new column that sums up the values in all of the 'index' columns so we can create the ibd_diagnosis column.\n",
    "final_cohort_file['ibd_counts'] = final_cohort_file.iloc[:, index_column_positions[0]:index_column_positions[-1]+1].sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "   NaN      NaN      NaN            0.0   \n",
       "3          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "4          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "...        ...      ...      ...      ...      ...      ...            ...   \n",
       "82397      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82398      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82399      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82400      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82401      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "\n",
       "       resident  samedayevent    totchg  year_x  zipinc_qrtl  dxver  prver  \\\n",
       "0           1.0           0.0   43848.0  2017.0          2.0   10.0   10.0   \n",
       "1           1.0           0.0   11700.0  2017.0          2.0   10.0   10.0   \n",
       "2           1.0           0.0   38599.0  2017.0          3.0   10.0   10.0   \n",
       "3           1.0           0.0   28192.0  2017.0          4.0   10.0   10.0   \n",
       "4           1.0           0.0  103023.0  2017.0          4.0   10.0   10.0   \n",
       "...         ...           ...       ...     ...          ...    ...    ...   \n",
       "82397       1.0           0.0  121265.0  2017.0          3.0   10.0   10.0   \n",
       "82398       1.0           0.0  594335.0  2017.0          3.0   10.0   10.0   \n",
       "82399       1.0           0.0   90757.0  2017.0          3.0   10.0   10.0   \n",
       "82400       1.0           0.0   35391.0  2017.0          1.0   10.0   10.0   \n",
       "82401       1.0           0.0   27415.0  2017.0          1.0   10.0   10.0   \n",
       "\n",
       "       hosp_bedsize  h_contrl  hosp_urcat4  hosp_ur_teach  nrd_stratum_y  \\\n",
       "0               3.0       1.0          2.0            1.0            447   \n",
       "1               2.0       2.0          4.0            2.0            452   \n",
       "2               3.0       2.0          3.0            2.0            461   \n",
       "3               3.0       2.0          1.0            1.0            441   \n",
       "4               2.0       2.0          1.0            1.0            496   \n",
       "...             ...       ...          ...            ...            ...   \n",
       "82397           3.0       2.0          1.0            1.0            441   \n",
       "82398           3.0       2.0          1.0            1.0            441   \n",
       "82399           3.0       2.0          1.0            1.0            441   \n",
       "82400           3.0       2.0          1.0            1.0            435   \n",
       "82401           3.0       2.0          1.0            1.0            435   \n",
       "\n",
       "       n_disc_u  n_hosp_u  s_disc_u  s_hosp_u  total_disc  year_y  aprdrg  \\\n",
       "0        636191        24    332444        15       21737    2017   302.0   \n",
       "1         18409         9     11959         7        2872    2017   245.0   \n",
       "2        153598        41     70994        23        4374    2017   245.0   \n",
       "3       1482670        59    887925        44       17848    2017   247.0   \n",
       "4        726416        50    428437        37       10792    2017   231.0   \n",
       "...         ...       ...       ...       ...         ...     ...     ...   \n",
       "82397   1482670        59    887925        44       18731    2017   139.0   \n",
       "82398   1482670        59    887925        44       18731    2017   660.0   \n",
       "82399   1482670        59    887925        44       18731    2017   144.0   \n",
       "82400   2849102        73   1360786        41       17007    2017   245.0   \n",
       "82401   2849102        73   1360786        41       17113    2017   245.0   \n",
       "\n",
       "       aprdrg_risk_mortality  aprdrg_severity  hosp_nrd_y  next_nrdday  \\\n",
       "0                        1.0              2.0     42214.0          NaN   \n",
       "1                        1.0              1.0     41827.0          NaN   \n",
       "2                        1.0              1.0     42416.0          NaN   \n",
       "3                        1.0              1.0     43509.0      18633.0   \n",
       "4                        1.0              2.0     42947.0          NaN   \n",
       "...                      ...              ...         ...          ...   \n",
       "82397                    2.0              3.0     41084.0      15120.0   \n",
       "82398                    3.0              4.0     41084.0      15185.0   \n",
       "82399                    3.0              4.0     41084.0          NaN   \n",
       "82400                    1.0              2.0     42659.0      22935.0   \n",
       "82401                    1.0              2.0     44321.0          NaN   \n",
       "\n",
       "       days_to_readmission  index_admission readmission_diagnosis  \\\n",
       "0                      NaN                1                   NaN   \n",
       "1                      NaN                1                   NaN   \n",
       "2                      NaN                1                   NaN   \n",
       "3                    284.0                1                 K5720   \n",
       "4                      NaN                1                   NaN   \n",
       "...                    ...              ...                   ...   \n",
       "82397                 57.0                1                  T865   \n",
       "82398                 44.0                1                  J205   \n",
       "82399                  NaN                0                   NaN   \n",
       "82400                 15.0                1                K51911   \n",
       "82401                  NaN                1                   NaN   \n",
       "\n",
       "       readmission_los  preventable_admission  pqi_1  pqi_3  pqi_5  pqi_7  \\\n",
       "0                  NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "1                  NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "2                  NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "3                  6.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "4                  NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "...                ...                    ...    ...    ...    ...    ...   \n",
       "82397             21.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "82398              2.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "82399              NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "82400              3.0                    0.0    0.0    0.0    0.0    0.0   \n",
       "82401              NaN                    0.0    0.0    0.0    0.0    0.0   \n",
       "\n",
       "       pqi_8  pqi_11  pqi_12  pqi_14  pqi_15  pqi_16  pqi_5_15_exclusion  \\\n",
       "0        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "1        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "2        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "3        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "4        0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "...      ...     ...     ...     ...     ...     ...                 ...   \n",
       "82397    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "82398    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "82399    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "82400    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "82401    0.0     0.0     0.0     0.0     0.0     0.0                 0.0   \n",
       "\n",
       "       pqi_7_medical_exclusions  pqi_7_procedural_exclusion  \\\n",
       "0                           0.0                         0.0   \n",
       "1                           0.0                         0.0   \n",
       "2                           0.0                         0.0   \n",
       "3                           0.0                         0.0   \n",
       "4                           0.0                         0.0   \n",
       "...                         ...                         ...   \n",
       "82397                       0.0                         0.0   \n",
       "82398                       0.0                         0.0   \n",
       "82399                       0.0                         0.0   \n",
       "82400                       0.0                         0.0   \n",
       "82401                       0.0                         0.0   \n",
       "\n",
       "       pqi_7_8_procedural_exclusion  pqi_11_exclusion  pqi_12_exclusion  \\\n",
       "0                               0.0               0.0               0.0   \n",
       "1                               0.0               0.0               0.0   \n",
       "2                               0.0               0.0               0.0   \n",
       "3                               0.0               0.0               0.0   \n",
       "4                               0.0               0.0               0.0   \n",
       "...                             ...               ...               ...   \n",
       "82397                           0.0               0.0               0.0   \n",
       "82398                           0.0               0.0               0.0   \n",
       "82399                           0.0               0.0               0.0   \n",
       "82400                           0.0               0.0               0.0   \n",
       "82401                           0.0               0.0               0.0   \n",
       "\n",
       "       pqi_immunocompromise_medical_exclusion  \\\n",
       "0                                         0.0   \n",
       "1                                         0.0   \n",
       "2                                         0.0   \n",
       "3                                         0.0   \n",
       "4                                         0.0   \n",
       "...                                       ...   \n",
       "82397                                     1.0   \n",
       "82398                                     1.0   \n",
       "82399                                     1.0   \n",
       "82400                                     0.0   \n",
       "82401                                     0.0   \n",
       "\n",
       "       pqi_immunocompromise_procedural_exclusion  pqi_16_exclusion_procedure  \\\n",
       "0                                            0.0                         0.0   \n",
       "1                                            0.0                         0.0   \n",
       "2                                            0.0                         0.0   \n",
       "3                                            0.0                         0.0   \n",
       "4                                            0.0                         0.0   \n",
       "...                                          ...                         ...   \n",
       "82397                                        0.0                         0.0   \n",
       "82398                                        0.0                         0.0   \n",
       "82399                                        0.0                         0.0   \n",
       "82400                                        0.0                         0.0   \n",
       "82401                                        0.0                         0.0   \n",
       "\n",
       "       pqi_16_amputation_procedure  medical_admission  hfrs_score  \\\n",
       "0                              0.0                0.0    0.000000   \n",
       "1                              0.0                1.0    2.000000   \n",
       "2                              0.0                1.0    2.400391   \n",
       "3                              0.0                1.0    1.799805   \n",
       "4                              0.0                0.0    0.000000   \n",
       "...                            ...                ...         ...   \n",
       "82397                          0.0                1.0    3.900391   \n",
       "82398                          0.0                1.0    5.101562   \n",
       "82399                          0.0                1.0    4.800781   \n",
       "82400                          0.0                1.0    0.000000   \n",
       "82401                          0.0                1.0    4.898438   \n",
       "\n",
       "       hfrs_severity  cc_score  cc_severity  cc_MI  cc_CHF  cc_PVD  cc_CVD  \\\n",
       "0                0.0       0.0          0.0      0       0       0       0   \n",
       "1                0.0       1.0          0.0      0       0       0       0   \n",
       "2                0.0       1.0          0.0      0       0       0       0   \n",
       "3                0.0       0.0          0.0      0       0       0       0   \n",
       "4                0.0       0.0          0.0      0       0       0       0   \n",
       "...              ...       ...          ...    ...     ...     ...     ...   \n",
       "82397            0.0       2.0          0.0      0       0       0       0   \n",
       "82398            1.0       2.0          0.0      0       0       0       0   \n",
       "82399            0.0       2.0          0.0      0       0       0       0   \n",
       "82400            0.0       0.0          0.0      0       0       0       0   \n",
       "82401            0.0       0.0          0.0      0       0       0       0   \n",
       "\n",
       "       cc_dementia  cc_COPD  cc_rheum  cc_peptic_ulcer  cc_mild_liver_disease  \\\n",
       "0                0        0         0                0                      0   \n",
       "1                0        1         0                0                      0   \n",
       "2                0        1         0                0                      0   \n",
       "3                0        0         0                0                      0   \n",
       "4                0        0         0                0                      0   \n",
       "...            ...      ...       ...              ...                    ...   \n",
       "82397            0        0         0                0                      0   \n",
       "82398            0        0         0                0                      0   \n",
       "82399            0        0         0                0                      0   \n",
       "82400            0        0         0                0                      0   \n",
       "82401            0        0         0                0                      0   \n",
       "\n",
       "       cc_diabetes_wo_complications  cc_diabetes_w_complications  cc_plegia  \\\n",
       "0                                 0                            0          0   \n",
       "1                                 0                            0          0   \n",
       "2                                 0                            0          0   \n",
       "3                                 0                            0          0   \n",
       "4                                 0                            0          0   \n",
       "...                             ...                          ...        ...   \n",
       "82397                             0                            0          0   \n",
       "82398                             0                            0          0   \n",
       "82399                             0                            0          0   \n",
       "82400                             0                            0          0   \n",
       "82401                             0                            0          0   \n",
       "\n",
       "       cc_renal  cc_malignancy  cc_severe_liver  cc_metastasis  cc_AIDS  \\\n",
       "0             0              0                0              0        0   \n",
       "1             0              0                0              0        0   \n",
       "2             0              0                0              0        0   \n",
       "3             0              0                0              0        0   \n",
       "4             0              0                0              0        0   \n",
       "...         ...            ...              ...            ...      ...   \n",
       "82397         0              1                0              0        0   \n",
       "82398         0              1                0              0        0   \n",
       "82399         0              1                0              0        0   \n",
       "82400         0              0                0              0        0   \n",
       "82401         0              0                0              0        0   \n",
       "\n",
       "       ibd_diagnosis  index1  index2  index3  index4  index5  index6  index7  \\\n",
       "0                  0       0       0       0       1       0       0       0   \n",
       "1                  0       1       0       0       0       0       0       0   \n",
       "2                  0       1       0       0       0       0       0       0   \n",
       "3                  0       0       1       0       0       0       0       0   \n",
       "4                  0       0       0       0       1       0       0       0   \n",
       "...              ...     ...     ...     ...     ...     ...     ...     ...   \n",
       "82397              0       0       0       0       0       0       0       0   \n",
       "82398              0       0       0       0       0       0       0       0   \n",
       "82399              0       0       0       0       0       0       1       0   \n",
       "82400              0       1       0       0       0       0       0       0   \n",
       "82401              0       1       0       0       0       0       0       0   \n",
       "\n",
       "       index8  index9  index10  index11  index12  index13  index14  index15  \\\n",
       "0           0       0        0        0        0        0        0        0   \n",
       "1           0       0        0        0        0        0        0        0   \n",
       "2           0       0        0        0        0        0        0        0   \n",
       "3           0       0        0        0        0        0        0        0   \n",
       "4           0       0        0        0        0        0        0        0   \n",
       "...       ...     ...      ...      ...      ...      ...      ...      ...   \n",
       "82397       0       0        0        0        0        0        0        0   \n",
       "82398       0       0        0        1        0        0        0        0   \n",
       "82399       0       0        0        0        0        0        0        0   \n",
       "82400       0       0        0        0        0        0        0        0   \n",
       "82401       0       0        0        0        0        0        0        0   \n",
       "\n",
       "       index16  index17  index18  index19  index20  index21  index22  index23  \\\n",
       "0            0        0        0        0        0        0        0        0   \n",
       "1            0        0        0        0        0        0        0        0   \n",
       "2            0        0        0        0        0        0        0        0   \n",
       "3            0        0        0        0        0        0        0        0   \n",
       "4            0        0        0        0        0        0        0        0   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "82397        0        0        0        0        0        0        0        0   \n",
       "82398        0        0        0        0        0        0        0        0   \n",
       "82399        0        0        0        0        0        0        0        0   \n",
       "82400        0        0        0        0        0        0        0        0   \n",
       "82401        0        0        0        0        0        0        0        0   \n",
       "\n",
       "       index24  index25  index26  index27  index28  index29  index30  index31  \\\n",
       "0            0        0        0        0        0        0        0        0   \n",
       "1            0        0        0        0        0        0        0        0   \n",
       "2            0        0        0        0        0        0        0        0   \n",
       "3            0        0        0        0        0        0        0        0   \n",
       "4            0        0        0        0        0        0        0        0   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "82397        0        0        0        0        0        0        0        0   \n",
       "82398        0        0        0        0        0        0        0        0   \n",
       "82399        0        0        0        0        0        0        0        0   \n",
       "82400        0        0        0        0        0        0        0        0   \n",
       "82401        0        0        0        0        0        0        0        0   \n",
       "\n",
       "       index32  index33  index34  index35  index36  index37  index38  index39  \\\n",
       "0            0        0        0        0        0        0        0        0   \n",
       "1            0        0        0        0        0        0        0        0   \n",
       "2            0        0        0        0        0        0        0        0   \n",
       "3            0        0        0        0        0        0        0        0   \n",
       "4            0        0        0        0        0        0        0        0   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "82397        0        0        0        0        0        0        0        0   \n",
       "82398        0        0        0        0        0        0        0        0   \n",
       "82399        0        0        0        0        0        0        0        0   \n",
       "82400        0        0        0        0        0        0        0        0   \n",
       "82401        0        0        0        0        0        0        0        0   \n",
       "\n",
       "       index40  ibd_counts  \n",
       "0            0    2.000000  \n",
       "1            0    7.000000  \n",
       "2            0    7.400391  \n",
       "3            0   10.799805  \n",
       "4            0    2.000000  \n",
       "...        ...         ...  \n",
       "82397        0   30.900391  \n",
       "82398        0   15.101562  \n",
       "82399        0   10.800781  \n",
       "82400        0    6.000000  \n",
       "82401        0    7.898438  \n",
       "\n",
       "[82402 rows x 228 columns]"
      ],
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 <th>i10_pr2</th>\n      <th>i10_pr3</th>\n      <th>i10_pr4</th>\n      <th>i10_pr5</th>\n      <th>i10_pr6</th>\n      <th>i10_pr7</th>\n      <th>i10_pr8</th>\n      <th>i10_pr9</th>\n      <th>i10_pr10</th>\n      <th>i10_pr11</th>\n      <th>i10_pr12</th>\n      <th>i10_pr13</th>\n      <th>i10_pr14</th>\n      <th>i10_pr15</th>\n      <th>i10_pr16</th>\n      <th>i10_pr17</th>\n      <th>i10_pr18</th>\n      <th>i10_pr19</th>\n      <th>i10_pr20</th>\n      <th>i10_pr21</th>\n      <th>i10_pr22</th>\n      <th>i10_pr23</th>\n      <th>i10_pr24</th>\n      <th>i10_pr25</th>\n      <th>prday1</th>\n      <th>prday2</th>\n      <th>prday3</th>\n      <th>prday4</th>\n      <th>prday5</th>\n      <th>prday6</th>\n      <th>prday7</th>\n      <th>prday8</th>\n      <th>prday9</th>\n      <th>prday10</th>\n      <th>prday11</th>\n      <th>prday12</th>\n      <th>prday13</th>\n      <th>prday14</th>\n      <th>prday15</th>\n      <th>prday16</th>\n      <th>prday17</th>\n      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<td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>11700.0</td>\n      <td>2017.0</td>\n      <td>2.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>452</td>\n      <td>18409</td>\n      <td>9</td>\n      <td>11959</td>\n      <td>7</td>\n      <td>2872</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>41827.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      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<td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42416.0</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>15.0</td>\n      <td>0.0</td>\n      <td>13002.0</td>\n      <td>461.0</td>\n      <td>e0021xf</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>38599.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>461</td>\n      <td>153598</td>\n      <td>41</td>\n      <td>70994</td>\n      <td>23</td>\n      <td>4374</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>42416.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      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<td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>43509.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>11.0</td>\n      <td>0.0</td>\n      <td>18346.0</td>\n      <td>441.0</td>\n      <td>e002hi0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>28192.0</td>\n      <td>2017.0</td>\n      <td>4.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>17848</td>\n      <td>2017</td>\n      <td>247.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>43509.0</td>\n      <td>18633.0</td>\n      <td>284.0</td>\n      <td>1</td>\n      <td>K5720</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>1.799805</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      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<td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>594335.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>660.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>15185.0</td>\n      <td>44.0</td>\n      <td>1</td>\n      <td>J205</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>5.101562</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>15.101562</td>\n    </tr>\n    <tr>\n      <th>82399</th>\n      <td>2.017035e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>12.0</td>\n      <td>4.0</td>\n      <td>202.0</td>\n      <td>35.0</td>\n      <td>202.0</td>\n      <td>J205</td>\n      <td>N170</td>\n      <td>E785</td>\n      <td>T8609</td>\n      <td>E871</td>\n      <td>K5090</td>\n      <td>D61818</td>\n      <td>E039</td>\n      <td>E440</td>\n      <td>G4700</td>\n      <td>D89810</td>\n      <td>B259</td>\n      <td>D801</td>\n      <td>Z006</td>\n      <td>I10</td>\n      <td>Z6821</td>\n      <td>Y848</td>\n      <td>Y92039</td>\n      <td>T380X5A</td>\n      <td>H04123</td>\n      <td>D469</td>\n      <td>R739</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>2.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>22.0</td>\n      <td>0.0</td>\n      <td>15185.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>90757.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>144.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.800781</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>10.800781</td>\n    </tr>\n    <tr>\n      <th>82400</th>\n      <td>2.017032e+11</td>\n      <td>54.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.858673</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>387.0</td>\n      <td>34.0</td>\n      <td>387.0</td>\n      <td>K51911</td>\n      <td>I10</td>\n      <td>K649</td>\n      <td>K30</td>\n      <td>K219</td>\n      <td>D509</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n     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<td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>35391.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>435</td>\n      <td>2849102</td>\n      <td>73</td>\n      <td>1360786</td>\n      <td>41</td>\n      <td>17007</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42659.0</td>\n      <td>22935.0</td>\n      <td>15.0</td>\n      <td>1</td>\n      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<td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>6.000000</td>\n    </tr>\n    <tr>\n      <th>82401</th>\n      <td>2.017154e+11</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.858673</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>386.0</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K51911</td>\n      <td>F330</td>\n      <td>Z87891</td>\n      <td>K5900</td>\n      <td>K649</td>\n      <td>I10</td>\n      <td>K219</td>\n      <td>D649</td>\n      <td>R45851</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>44321.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>9.0</td>\n      <td>0.0</td>\n      <td>22935.0</td>\n      <td>435.0</td>\n      <td>ezzz5ob</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>27415.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>435</td>\n      <td>2849102</td>\n      <td>73</td>\n      <td>1360786</td>\n      <td>41</td>\n      <td>17113</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>44321.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.898438</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>7.898438</td>\n    </tr>\n  </tbody>\n</table>\n<p>82402 rows × 228 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 16
    }
   ],
   "source": [
    "# Making sure all the created columns exist.\n",
    "final_cohort_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:04, 18175.87it/s]\n"
     ]
    }
   ],
   "source": [
    "# Start with a placeholder for nrd_visitlink that is made up ('aaaaaa'). This will hold the previous rows nrd_visitlink in each iteration.\n",
    "# Keep a counter for each successive ibd_diagnosis that a patient has, initialized with 1.\n",
    "# row_num keeps track of which row we are on.\n",
    "id_placeholder = 'aaaaaa'\n",
    "counter = 1\n",
    "row_num = 0\n",
    "\n",
    "# Initialize the 'ibd_diagnosis' column with a 0.\n",
    "final_cohort_file['ibd_diagnosis'] = 0\n",
    "\n",
    "# This loop goes through each row and compares the nrd_visitlink with that of the previous row. \n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    id_current = row.nrd_visitlink\n",
    "    # If the current and previous nrd_visitlink are not the same and the patient has a ibd related discharge (ibd_counts >= 1), then a 1 is populated in ibd_diagnosis. Counter reset\n",
    "    # to 1.\n",
    "    if id_current != id_placeholder and row.ibd_counts >= 1:\n",
    "        final_cohort_file.at[row_num, 'ibd_diagnosis'] = 1\n",
    "        id_placeholder = id_current\n",
    "        counter = 1\n",
    "    # If the current and previous nrd_visitlink are the same and the patient has a idb related discharge (ibd_counts >= 1), then the counter increments by 1 and the appropriate\n",
    "    # number is populated in ibd_diagnosis (each subsequent ibd discharge adds 1 to the patients counter).\n",
    "    elif id_current == id_placeholder and row.ibd_counts >= 1:\n",
    "        counter += 1\n",
    "        final_cohort_file.at[row_num, 'ibd_diagnosis'] = counter\n",
    "        id_placeholder = id_current\n",
    "    # If the current and previous nrd_visitlink are the same and the patient does not have an ibd related discharge (ibd_counts < 1), then a 0 is populated in ibd_diagnosis.\n",
    "    elif id_current == id_placeholder and row.ibd_counts < 1:\n",
    "        final_cohort_file.at[row_num, 'ibd_diagnosis'] = 0\n",
    "        id_placeholder = id_current\n",
    "    # If the current and previous nrd_visitlink are not the same and the patient does not have an idb related discharge, then a 0 is populated in ibd_diagnosis. Counter reset \n",
    "    # to 0. id_placeholder is updated in all cases to the current nrd_visitlink.\n",
    "    else:\n",
    "        final_cohort_file.at[row_num, 'ibd_diagnosis'] = 0\n",
    "        id_placeholder = id_current\n",
    "        counter = 0\n",
    "    row_num += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove all the unnecessary columns we created that begin with 'index'.\n",
    "drop = final_cohort_file.columns.to_list()\n",
    "drop_columns = [column for column in drop if 'index' in column]\n",
    "for column in drop_columns:\n",
    "    final_cohort_file = final_cohort_file.drop(columns=[column])\n",
    "\n",
    "# Drop the 'ibd_counts' column since we no longer need it either.\n",
    "final_cohort_file = final_cohort_file.drop(columns=['ibd_counts'])"
   ]
  },
  {
   "source": [
    "## ibd_index_hospitalization <a class=\"anchor\" id=\"indexhosp\"></a>\n",
    "### - the first hospitalization where a patient has an ibd related diagnosis.\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a new column called 'ibd_index_hospitalization' and fill each row with a 0.\n",
    "# Use vectorization with masking to find each index hospitalization and fill in a 1 in ibd_index_hospitalization.\n",
    "final_cohort_file['ibd_index_hospitalization'] = 0\n",
    "mask = (final_cohort_file['ibd_diagnosis'] == 1)\n",
    "final_cohort_file.loc[mask, 'ibd_index_hospitalization'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "NA>     <NA>     <NA>     <NA>   \n",
       "2         <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "3         <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "4         <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "...        ...     ...     ...     ...     ...      ...      ...      ...   \n",
       "82397     <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "82398  XW03341    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "82399     <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "82400     <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "82401     <NA>    <NA>    <NA>    <NA>    <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "      i10_pr13 i10_pr14 i10_pr15 i10_pr16 i10_pr17 i10_pr18 i10_pr19 i10_pr20  \\\n",
       "0         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "1         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "2         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "3         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "4         <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "82397     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "82398     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "82399     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "82400     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "82401     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>     <NA>   \n",
       "\n",
       "      i10_pr21 i10_pr22 i10_pr23 i10_pr24 i10_pr25  prday1  prday2  prday3  \\\n",
       "0         <NA>     <NA>     <NA>     <NA>     <NA>     0.0     NaN     NaN   \n",
       "1         <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "2         <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "3         <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "4         <NA>     <NA>     <NA>     <NA>     <NA>     0.0     0.0     NaN   \n",
       "...        ...      ...      ...      ...      ...     ...     ...     ...   \n",
       "82397     <NA>     <NA>     <NA>     <NA>     <NA>     1.0     NaN     NaN   \n",
       "82398     <NA>     <NA>     <NA>     <NA>     <NA>     1.0     1.0     1.0   \n",
       "82399     <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "82400     <NA>     <NA>     <NA>     <NA>     <NA>     1.0     0.0     1.0   \n",
       "82401     <NA>     <NA>     <NA>     <NA>     <NA>     NaN     NaN     NaN   \n",
       "\n",
       "       prday4  prday5  prday6  prday7  prday8  prday9  prday10  prday11  \\\n",
       "0         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "1         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "2         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "3         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "4         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "...       ...     ...     ...     ...     ...     ...      ...      ...   \n",
       "82397     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82398     1.0    10.0     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82399     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82400     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82401     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "\n",
       "       prday12  prday13  prday14  prday15  prday16  prday17  prday18  prday19  \\\n",
       "0          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "1          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "3          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "4          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "82397      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82398      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82399      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82400      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82401      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "\n",
       "       prday20  prday21  prday22  prday23  prday24  prday25  rehabtransfer  \\\n",
       "0          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "1          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "2          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "3          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "4          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "...        ...      ...      ...      ...      ...      ...            ...   \n",
       "82397      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82398      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82399      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82400      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82401      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "\n",
       "       resident  samedayevent    totchg  year_x  zipinc_qrtl  dxver  prver  \\\n",
       "0           1.0           0.0   43848.0  2017.0          2.0   10.0   10.0   \n",
       "1           1.0           0.0   11700.0  2017.0          2.0   10.0   10.0   \n",
       "2           1.0           0.0   38599.0  2017.0          3.0   10.0   10.0   \n",
       "3           1.0           0.0   28192.0  2017.0          4.0   10.0   10.0   \n",
       "4           1.0           0.0  103023.0  2017.0          4.0   10.0   10.0   \n",
       "...         ...           ...       ...     ...          ...    ...    ...   \n",
       "82397       1.0           0.0  121265.0  2017.0          3.0   10.0   10.0   \n",
       "82398       1.0           0.0  594335.0  2017.0          3.0   10.0   10.0   \n",
       "82399       1.0           0.0   90757.0  2017.0          3.0   10.0   10.0   \n",
       "82400       1.0           0.0   35391.0  2017.0          1.0   10.0   10.0   \n",
       "82401       1.0           0.0   27415.0  2017.0          1.0   10.0   10.0   \n",
       "\n",
       "       hosp_bedsize  h_contrl  hosp_urcat4  hosp_ur_teach  nrd_stratum_y  \\\n",
       "0               3.0       1.0          2.0            1.0            447   \n",
       "1               2.0       2.0          4.0            2.0            452   \n",
       "2               3.0       2.0          3.0            2.0            461   \n",
       "3               3.0       2.0          1.0            1.0            441   \n",
       "4               2.0       2.0          1.0            1.0            496   \n",
       "...             ...       ...          ...            ...            ...   \n",
       "82397           3.0       2.0          1.0            1.0            441   \n",
       "82398           3.0       2.0          1.0            1.0            441   \n",
       "82399           3.0       2.0          1.0            1.0            441   \n",
       "82400           3.0       2.0          1.0            1.0            435   \n",
       "82401           3.0       2.0          1.0            1.0            435   \n",
       "\n",
       "       n_disc_u  n_hosp_u  s_disc_u  s_hosp_u  total_disc  year_y  aprdrg  \\\n",
       "0        636191        24    332444        15       21737    2017   302.0   \n",
       "1         18409         9     11959         7        2872    2017   245.0   \n",
       "2        153598        41     70994        23        4374    2017   245.0   \n",
       "3       1482670        59    887925        44       17848    2017   247.0   \n",
       "4        726416        50    428437        37       10792    2017   231.0   \n",
       "...         ...       ...       ...       ...         ...     ...     ...   \n",
       "82397   1482670        59    887925        44       18731    2017   139.0   \n",
       "82398   1482670        59    887925        44       18731    2017   660.0   \n",
       "82399   1482670        59    887925        44       18731    2017   144.0   \n",
       "82400   2849102        73   1360786        41       17007    2017   245.0   \n",
       "82401   2849102        73   1360786        41       17113    2017   245.0   \n",
       "\n",
       "       aprdrg_risk_mortality  aprdrg_severity  hosp_nrd_y  next_nrdday  \\\n",
       "0                        1.0              2.0     42214.0          NaN   \n",
       "1                        1.0              1.0     41827.0          NaN   \n",
       "2                        1.0              1.0     42416.0          NaN   \n",
       "3                        1.0              1.0     43509.0      18633.0   \n",
       "4                        1.0              2.0     42947.0          NaN   \n",
       "...                      ...              ...         ...          ...   \n",
       "82397                    2.0              3.0     41084.0      15120.0   \n",
       "82398                    3.0              4.0     41084.0      15185.0   \n",
       "82399                    3.0              4.0     41084.0          NaN   \n",
       "82400                    1.0              2.0     42659.0      22935.0   \n",
       "82401                    1.0              2.0     44321.0          NaN   \n",
       "\n",
       "       days_to_readmission readmission_diagnosis  readmission_los  \\\n",
       "0                      NaN                   NaN              NaN   \n",
       "1                      NaN                   NaN              NaN   \n",
       "2                      NaN                   NaN              NaN   \n",
       "3                    284.0                 K5720              6.0   \n",
       "4                      NaN                   NaN              NaN   \n",
       "...                    ...                   ...              ...   \n",
       "82397                 57.0                  T865             21.0   \n",
       "82398                 44.0                  J205              2.0   \n",
       "82399                  NaN                   NaN              NaN   \n",
       "82400                 15.0                K51911              3.0   \n",
       "82401                  NaN                   NaN              NaN   \n",
       "\n",
       "       preventable_admission  pqi_1  pqi_3  pqi_5  pqi_7  pqi_8  pqi_11  \\\n",
       "0                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "1                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "2                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "3                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "4                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "...                      ...    ...    ...    ...    ...    ...     ...   \n",
       "82397                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "82398                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "82399                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "82400                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "82401                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "\n",
       "       pqi_12  pqi_14  pqi_15  pqi_16  pqi_5_15_exclusion  \\\n",
       "0         0.0     0.0     0.0     0.0                 0.0   \n",
       "1         0.0     0.0     0.0     0.0                 0.0   \n",
       "2         0.0     0.0     0.0     0.0                 0.0   \n",
       "3         0.0     0.0     0.0     0.0                 0.0   \n",
       "4         0.0     0.0     0.0     0.0                 0.0   \n",
       "...       ...     ...     ...     ...                 ...   \n",
       "82397     0.0     0.0     0.0     0.0                 0.0   \n",
       "82398     0.0     0.0     0.0     0.0                 0.0   \n",
       "82399     0.0     0.0     0.0     0.0                 0.0   \n",
       "82400     0.0     0.0     0.0     0.0                 0.0   \n",
       "82401     0.0     0.0     0.0     0.0                 0.0   \n",
       "\n",
       "       pqi_7_medical_exclusions  pqi_7_procedural_exclusion  \\\n",
       "0                           0.0                         0.0   \n",
       "1                           0.0                         0.0   \n",
       "2                           0.0                         0.0   \n",
       "3                           0.0                         0.0   \n",
       "4                           0.0                         0.0   \n",
       "...                         ...                         ...   \n",
       "82397                       0.0                         0.0   \n",
       "82398                       0.0                         0.0   \n",
       "82399                       0.0                         0.0   \n",
       "82400                       0.0                         0.0   \n",
       "82401                       0.0                         0.0   \n",
       "\n",
       "       pqi_7_8_procedural_exclusion  pqi_11_exclusion  pqi_12_exclusion  \\\n",
       "0                               0.0               0.0               0.0   \n",
       "1                               0.0               0.0               0.0   \n",
       "2                               0.0               0.0               0.0   \n",
       "3                               0.0               0.0               0.0   \n",
       "4                               0.0               0.0               0.0   \n",
       "...                             ...               ...               ...   \n",
       "82397                           0.0               0.0               0.0   \n",
       "82398                           0.0               0.0               0.0   \n",
       "82399                           0.0               0.0               0.0   \n",
       "82400                           0.0               0.0               0.0   \n",
       "82401                           0.0               0.0               0.0   \n",
       "\n",
       "       pqi_immunocompromise_medical_exclusion  \\\n",
       "0                                         0.0   \n",
       "1                                         0.0   \n",
       "2                                         0.0   \n",
       "3                                         0.0   \n",
       "4                                         0.0   \n",
       "...                                       ...   \n",
       "82397                                     1.0   \n",
       "82398                                     1.0   \n",
       "82399                                     1.0   \n",
       "82400                                     0.0   \n",
       "82401                                     0.0   \n",
       "\n",
       "       pqi_immunocompromise_procedural_exclusion  pqi_16_exclusion_procedure  \\\n",
       "0                                            0.0                         0.0   \n",
       "1                                            0.0                         0.0   \n",
       "2                                            0.0                         0.0   \n",
       "3                                            0.0                         0.0   \n",
       "4                                            0.0                         0.0   \n",
       "...                                          ...                         ...   \n",
       "82397                                        0.0                         0.0   \n",
       "82398                                        0.0                         0.0   \n",
       "82399                                        0.0                         0.0   \n",
       "82400                                        0.0                         0.0   \n",
       "82401                                        0.0                         0.0   \n",
       "\n",
       "       pqi_16_amputation_procedure  medical_admission  hfrs_score  \\\n",
       "0                              0.0                0.0    0.000000   \n",
       "1                              0.0                1.0    2.000000   \n",
       "2                              0.0                1.0    2.400391   \n",
       "3                              0.0                1.0    1.799805   \n",
       "4                              0.0                0.0    0.000000   \n",
       "...                            ...                ...         ...   \n",
       "82397                          0.0                1.0    3.900391   \n",
       "82398                          0.0                1.0    5.101562   \n",
       "82399                          0.0                1.0    4.800781   \n",
       "82400                          0.0                1.0    0.000000   \n",
       "82401                          0.0                1.0    4.898438   \n",
       "\n",
       "       hfrs_severity  cc_score  cc_severity  cc_MI  cc_CHF  cc_PVD  cc_CVD  \\\n",
       "0                0.0       0.0          0.0      0       0       0       0   \n",
       "1                0.0       1.0          0.0      0       0       0       0   \n",
       "2                0.0       1.0          0.0      0       0       0       0   \n",
       "3                0.0       0.0          0.0      0       0       0       0   \n",
       "4                0.0       0.0          0.0      0       0       0       0   \n",
       "...              ...       ...          ...    ...     ...     ...     ...   \n",
       "82397            0.0       2.0          0.0      0       0       0       0   \n",
       "82398            1.0       2.0          0.0      0       0       0       0   \n",
       "82399            0.0       2.0          0.0      0       0       0       0   \n",
       "82400            0.0       0.0          0.0      0       0       0       0   \n",
       "82401            0.0       0.0          0.0      0       0       0       0   \n",
       "\n",
       "       cc_dementia  cc_COPD  cc_rheum  cc_peptic_ulcer  cc_mild_liver_disease  \\\n",
       "0                0        0         0                0                      0   \n",
       "1                0        1         0                0                      0   \n",
       "2                0        1         0                0                      0   \n",
       "3                0        0         0                0                      0   \n",
       "4                0        0         0                0                      0   \n",
       "...            ...      ...       ...              ...                    ...   \n",
       "82397            0        0         0                0                      0   \n",
       "82398            0        0         0                0                      0   \n",
       "82399            0        0         0                0                      0   \n",
       "82400            0        0         0                0                      0   \n",
       "82401            0        0         0                0                      0   \n",
       "\n",
       "       cc_diabetes_wo_complications  cc_diabetes_w_complications  cc_plegia  \\\n",
       "0                                 0                            0          0   \n",
       "1                                 0                            0          0   \n",
       "2                                 0                            0          0   \n",
       "3                                 0                            0          0   \n",
       "4                                 0                            0          0   \n",
       "...                             ...                          ...        ...   \n",
       "82397                             0                            0          0   \n",
       "82398                             0                            0          0   \n",
       "82399                             0                            0          0   \n",
       "82400                             0                            0          0   \n",
       "82401                             0                            0          0   \n",
       "\n",
       "       cc_renal  cc_malignancy  cc_severe_liver  cc_metastasis  cc_AIDS  \\\n",
       "0             0              0                0              0        0   \n",
       "1             0              0                0              0        0   \n",
       "2             0              0                0              0        0   \n",
       "3             0              0                0              0        0   \n",
       "4             0              0                0              0        0   \n",
       "...         ...            ...              ...            ...      ...   \n",
       "82397         0              1                0              0        0   \n",
       "82398         0              1                0              0        0   \n",
       "82399         0              1                0              0        0   \n",
       "82400         0              0                0              0        0   \n",
       "82401         0              0                0              0        0   \n",
       "\n",
       "       ibd_diagnosis  ibd_index_hospitalization  \n",
       "0                  1                          1  \n",
       "1                  1                          1  \n",
       "2                  1                          1  \n",
       "3                  1                          1  \n",
       "4                  2                          0  \n",
       "...              ...                        ...  \n",
       "82397              4                          0  \n",
       "82398              5                          0  \n",
       "82399              6                          0  \n",
       "82400              1                          1  \n",
       "82401              2                          0  \n",
       "\n",
       "[82402 rows x 187 columns]"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>key_nrd</th>\n      <th>age</th>\n      <th>aweekend</th>\n      <th>died</th>\n      <th>discwt</th>\n      <th>dispuniform</th>\n      <th>dmonth</th>\n      <th>dqtr</th>\n      <th>drg</th>\n      <th>drgver</th>\n      <th>drg_nopoa</th>\n      <th>i10_dx1</th>\n      <th>i10_dx2</th>\n      <th>i10_dx3</th>\n      <th>i10_dx4</th>\n      <th>i10_dx5</th>\n      <th>i10_dx6</th>\n      <th>i10_dx7</th>\n      <th>i10_dx8</th>\n      <th>i10_dx9</th>\n      <th>i10_dx10</th>\n      <th>i10_dx11</th>\n      <th>i10_dx12</th>\n      <th>i10_dx13</th>\n      <th>i10_dx14</th>\n      <th>i10_dx15</th>\n      <th>i10_dx16</th>\n      <th>i10_dx17</th>\n      <th>i10_dx18</th>\n      <th>i10_dx19</th>\n      <th>i10_dx20</th>\n      <th>i10_dx21</th>\n      <th>i10_dx22</th>\n      <th>i10_dx23</th>\n      <th>i10_dx24</th>\n      <th>i10_dx25</th>\n      <th>i10_dx26</th>\n      <th>i10_dx27</th>\n      <th>i10_dx28</th>\n      <th>i10_dx29</th>\n      <th>i10_dx30</th>\n      <th>i10_dx31</th>\n      <th>i10_dx32</th>\n      <th>i10_dx33</th>\n      <th>i10_dx34</th>\n      <th>i10_dx35</th>\n      <th>i10_dx36</th>\n      <th>i10_dx37</th>\n      <th>i10_dx38</th>\n      <th>i10_dx39</th>\n      <th>i10_dx40</th>\n      <th>elective</th>\n      <th>female</th>\n      <th>hcup_ed</th>\n      <th>hosp_nrd_x</th>\n      <th>los</th>\n      <th>mdc</th>\n      <th>mdc_nopoa</th>\n      <th>i10_ndx</th>\n      <th>i10_npr</th>\n      <th>nrd_daystoevent</th>\n      <th>nrd_stratum_x</th>\n      <th>nrd_visitlink</th>\n      <th>pay1</th>\n      <th>pl_nchs</th>\n      <th>i10_pr1</th>\n      <th>i10_pr2</th>\n      <th>i10_pr3</th>\n      <th>i10_pr4</th>\n      <th>i10_pr5</th>\n      <th>i10_pr6</th>\n      <th>i10_pr7</th>\n      <th>i10_pr8</th>\n      <th>i10_pr9</th>\n      <th>i10_pr10</th>\n      <th>i10_pr11</th>\n      <th>i10_pr12</th>\n      <th>i10_pr13</th>\n      <th>i10_pr14</th>\n      <th>i10_pr15</th>\n      <th>i10_pr16</th>\n      <th>i10_pr17</th>\n      <th>i10_pr18</th>\n      <th>i10_pr19</th>\n      <th>i10_pr20</th>\n      <th>i10_pr21</th>\n      <th>i10_pr22</th>\n      <th>i10_pr23</th>\n      <th>i10_pr24</th>\n      <th>i10_pr25</th>\n      <th>prday1</th>\n      <th>prday2</th>\n      <th>prday3</th>\n      <th>prday4</th>\n      <th>prday5</th>\n      <th>prday6</th>\n      <th>prday7</th>\n      <th>prday8</th>\n      <th>prday9</th>\n      <th>prday10</th>\n      <th>prday11</th>\n      <th>prday12</th>\n      <th>prday13</th>\n      <th>prday14</th>\n      <th>prday15</th>\n      <th>prday16</th>\n      <th>prday17</th>\n      <th>prday18</th>\n      <th>prday19</th>\n      <th>prday20</th>\n      <th>prday21</th>\n      <th>prday22</th>\n      <th>prday23</th>\n      <th>prday24</th>\n      <th>prday25</th>\n      <th>rehabtransfer</th>\n      <th>resident</th>\n      <th>samedayevent</th>\n      <th>totchg</th>\n      <th>year_x</th>\n      <th>zipinc_qrtl</th>\n      <th>dxver</th>\n      <th>prver</th>\n      <th>hosp_bedsize</th>\n      <th>h_contrl</th>\n      <th>hosp_urcat4</th>\n      <th>hosp_ur_teach</th>\n      <th>nrd_stratum_y</th>\n      <th>n_disc_u</th>\n      <th>n_hosp_u</th>\n      <th>s_disc_u</th>\n      <th>s_hosp_u</th>\n      <th>total_disc</th>\n      <th>year_y</th>\n      <th>aprdrg</th>\n      <th>aprdrg_risk_mortality</th>\n      <th>aprdrg_severity</th>\n      <th>hosp_nrd_y</th>\n      <th>next_nrdday</th>\n      <th>days_to_readmission</th>\n      <th>readmission_diagnosis</th>\n      <th>readmission_los</th>\n      <th>preventable_admission</th>\n      <th>pqi_1</th>\n      <th>pqi_3</th>\n      <th>pqi_5</th>\n      <th>pqi_7</th>\n      <th>pqi_8</th>\n      <th>pqi_11</th>\n      <th>pqi_12</th>\n      <th>pqi_14</th>\n      <th>pqi_15</th>\n      <th>pqi_16</th>\n      <th>pqi_5_15_exclusion</th>\n      <th>pqi_7_medical_exclusions</th>\n      <th>pqi_7_procedural_exclusion</th>\n      <th>pqi_7_8_procedural_exclusion</th>\n      <th>pqi_11_exclusion</th>\n      <th>pqi_12_exclusion</th>\n      <th>pqi_immunocompromise_medical_exclusion</th>\n      <th>pqi_immunocompromise_procedural_exclusion</th>\n      <th>pqi_16_exclusion_procedure</th>\n      <th>pqi_16_amputation_procedure</th>\n      <th>medical_admission</th>\n      <th>hfrs_score</th>\n      <th>hfrs_severity</th>\n      <th>cc_score</th>\n      <th>cc_severity</th>\n      <th>cc_MI</th>\n      <th>cc_CHF</th>\n      <th>cc_PVD</th>\n      <th>cc_CVD</th>\n      <th>cc_dementia</th>\n      <th>cc_COPD</th>\n      <th>cc_rheum</th>\n      <th>cc_peptic_ulcer</th>\n      <th>cc_mild_liver_disease</th>\n      <th>cc_diabetes_wo_complications</th>\n      <th>cc_diabetes_w_complications</th>\n      <th>cc_plegia</th>\n      <th>cc_renal</th>\n      <th>cc_malignancy</th>\n      <th>cc_severe_liver</th>\n      <th>cc_metastasis</th>\n      <th>cc_AIDS</th>\n      <th>ibd_diagnosis</th>\n      <th>ibd_index_hospitalization</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2.017114e+11</td>\n      <td>88.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.805447</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>2.0</td>\n      <td>470.0</td>\n      <td>34.0</td>\n      <td>470.0</td>\n      <td>M1712</td>\n      <td>I10</td>\n      <td>L309</td>\n      <td>K5190</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42214.0</td>\n      <td>1.0</td>\n      <td>8.0</td>\n      <td>8.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>13979.0</td>\n      <td>447.0</td>\n      <td>e0007w8</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0SRD0J9</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>43848.0</td>\n      <td>2017.0</td>\n      <td>2.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>447</td>\n      <td>636191</td>\n      <td>24</td>\n      <td>332444</td>\n      <td>15</td>\n      <td>21737</td>\n      <td>2017</td>\n      <td>302.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42214.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n     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<td>1.984195</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>386.0</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K50912</td>\n      <td>E039</td>\n      <td>M1990</td>\n      <td>K219</td>\n      <td>I10</td>\n      <td>R630</td>\n      <td>F17210</td>\n      <td>G43909</td>\n      <td>Z885</td>\n      <td>E785</td>\n      <td>Z79891</td>\n      <td>Z7982</td>\n      <td>M549</td>\n      <td>J449</td>\n      <td>G8929</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42416.0</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>15.0</td>\n      <td>0.0</td>\n      <td>13002.0</td>\n      <td>461.0</td>\n      <td>e0021xf</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>38599.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>461</td>\n      <td>153598</td>\n      <td>41</td>\n      <td>70994</td>\n      <td>23</td>\n      <td>4374</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>42416.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.400391</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2.017071e+11</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.389702</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>389.0</td>\n      <td>34.0</td>\n      <td>389.0</td>\n      <td>K5669</td>\n      <td>K5010</td>\n      <td>E663</td>\n      <td>Z885</td>\n      <td>Z6826</td>\n      <td>I10</td>\n      <td>K5900</td>\n      <td>F909</td>\n      <td>F3342</td>\n      <td>Z883</td>\n      <td>K5732</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>43509.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>11.0</td>\n      <td>0.0</td>\n      <td>18346.0</td>\n      <td>441.0</td>\n      <td>e002hi0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>28192.0</td>\n      <td>2017.0</td>\n      <td>4.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>17848</td>\n      <td>2017</td>\n      <td>247.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>43509.0</td>\n      <td>18633.0</td>\n      <td>284.0</td>\n      <td>K5720</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>1.799805</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n     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<td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>103023.0</td>\n      <td>2017.0</td>\n      <td>4.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>496</td>\n      <td>726416</td>\n      <td>50</td>\n      <td>428437</td>\n      <td>37</td>\n      <td>10792</td>\n      <td>2017</td>\n      <td>231.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42947.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n    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<td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>121265.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>139.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>41084.0</td>\n      <td>15120.0</td>\n      <td>57.0</td>\n      <td>T865</td>\n      <td>21.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      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     },
     "metadata": {},
     "execution_count": 20
    }
   ],
   "source": [
    "# Check the file structure.\n",
    "final_cohort_file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Function: ICD-10 to Column <a class=\"anchor\" id=\"icdtocolumn\"></a>\n",
    "\n",
    "Use Cases:\n",
    " * [Diagnoses Codes](#diagnosiscodes)\n",
    " * [Additional Columns for Validation Testing](#validation)\n",
    " * [Procedure Codes](#procedurecodes)\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This function will create a new column with the desired name and populate it with a 1 or a 0 depending on if a patient has a specific diagnosis/procedure on that discharge.\n",
    "# df: The dataframe the columns are located in.\n",
    "# list_of_columns: A list of column names that will be used to find diagnosis/procedure codes from the dataframe. Defined below as diagnoses, procedures, and drg.\n",
    "# column_label: A string value that will be used to initialize and create a new column that stores either a 1 or 0 depending on if the patient has a specific diagnosis/procedure.\n",
    "# search_codes: A single string value with the starting values for ICD-10 codes for the diagnosis/procedure that is being located.\n",
    "# The format for search_codes should be as follows: 'code|code|code|code'; using the | separator allows individual searches and 'code' can be a partial code such as F80 instead\n",
    "# of every possible outcome like F801, F8009, F80901, etc.\n",
    "\n",
    "def icd10_to_column(df, list_of_columns, column_label, search_codes):\n",
    "    df[column_label] = 0\n",
    "    for column in list_of_columns:\n",
    "        df.loc[df[column].str.contains(search_codes), column_label] = 1\n",
    "    return print(f'Column for {column_label} created.')"
   ]
  },
  {
   "source": [
    "## Defining Column Lists and Clearing NaNs in Procedure Columns <a class=\"anchor\" id=\"columnlists\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a list of diagnosis columns, all columns that begin with 'i10_dx'.\n",
    "diagnoses = [column for column in column_list if 'i10_dx' in column]\n",
    "\n",
    "# Create a list of procedure columns, all columns that begin with 'i10_pr'.\n",
    "procedures = [column for column in column_list if 'i10_pr' in column]\n",
    "\n",
    "# Create a list for the 'drg' column.\n",
    "drg = ['drg']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                                 \n",
       "2                                                                           \n",
       "3                                                                           \n",
       "4                                                                           \n",
       "...        ...     ...     ...     ...     ...      ...      ...      ...   \n",
       "82397                                                                       \n",
       "82398  XW03341                                                              \n",
       "82399                                                                       \n",
       "82400                                                                       \n",
       "82401                                                                       \n",
       "\n",
       "      i10_pr13 i10_pr14 i10_pr15 i10_pr16 i10_pr17 i10_pr18 i10_pr19 i10_pr20  \\\n",
       "0                                                                               \n",
       "1                                                                               \n",
       "2                                                                               \n",
       "3                                                                               \n",
       "4                                                                               \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "82397                                                                           \n",
       "82398                                                                           \n",
       "82399                                                                           \n",
       "82400                                                                           \n",
       "82401                                                                           \n",
       "\n",
       "      i10_pr21 i10_pr22 i10_pr23 i10_pr24 i10_pr25  prday1  prday2  prday3  \\\n",
       "0                                                      0.0     NaN     NaN   \n",
       "1                                                      NaN     NaN     NaN   \n",
       "2                                                      NaN     NaN     NaN   \n",
       "3                                                      NaN     NaN     NaN   \n",
       "4                                                      0.0     0.0     NaN   \n",
       "...        ...      ...      ...      ...      ...     ...     ...     ...   \n",
       "82397                                                  1.0     NaN     NaN   \n",
       "82398                                                  1.0     1.0     1.0   \n",
       "82399                                                  NaN     NaN     NaN   \n",
       "82400                                                  1.0     0.0     1.0   \n",
       "82401                                                  NaN     NaN     NaN   \n",
       "\n",
       "       prday4  prday5  prday6  prday7  prday8  prday9  prday10  prday11  \\\n",
       "0         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "1         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "2         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "3         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "4         NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "...       ...     ...     ...     ...     ...     ...      ...      ...   \n",
       "82397     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82398     1.0    10.0     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82399     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82400     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "82401     NaN     NaN     NaN     NaN     NaN     NaN      NaN      NaN   \n",
       "\n",
       "       prday12  prday13  prday14  prday15  prday16  prday17  prday18  prday19  \\\n",
       "0          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "1          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "2          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "3          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "4          NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "82397      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82398      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82399      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82400      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "82401      NaN      NaN      NaN      NaN      NaN      NaN      NaN      NaN   \n",
       "\n",
       "       prday20  prday21  prday22  prday23  prday24  prday25  rehabtransfer  \\\n",
       "0          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "1          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "2          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "3          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "4          NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "...        ...      ...      ...      ...      ...      ...            ...   \n",
       "82397      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82398      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82399      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82400      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "82401      NaN      NaN      NaN      NaN      NaN      NaN            0.0   \n",
       "\n",
       "       resident  samedayevent    totchg  year_x  zipinc_qrtl  dxver  prver  \\\n",
       "0           1.0           0.0   43848.0  2017.0          2.0   10.0   10.0   \n",
       "1           1.0           0.0   11700.0  2017.0          2.0   10.0   10.0   \n",
       "2           1.0           0.0   38599.0  2017.0          3.0   10.0   10.0   \n",
       "3           1.0           0.0   28192.0  2017.0          4.0   10.0   10.0   \n",
       "4           1.0           0.0  103023.0  2017.0          4.0   10.0   10.0   \n",
       "...         ...           ...       ...     ...          ...    ...    ...   \n",
       "82397       1.0           0.0  121265.0  2017.0          3.0   10.0   10.0   \n",
       "82398       1.0           0.0  594335.0  2017.0          3.0   10.0   10.0   \n",
       "82399       1.0           0.0   90757.0  2017.0          3.0   10.0   10.0   \n",
       "82400       1.0           0.0   35391.0  2017.0          1.0   10.0   10.0   \n",
       "82401       1.0           0.0   27415.0  2017.0          1.0   10.0   10.0   \n",
       "\n",
       "       hosp_bedsize  h_contrl  hosp_urcat4  hosp_ur_teach  nrd_stratum_y  \\\n",
       "0               3.0       1.0          2.0            1.0            447   \n",
       "1               2.0       2.0          4.0            2.0            452   \n",
       "2               3.0       2.0          3.0            2.0            461   \n",
       "3               3.0       2.0          1.0            1.0            441   \n",
       "4               2.0       2.0          1.0            1.0            496   \n",
       "...             ...       ...          ...            ...            ...   \n",
       "82397           3.0       2.0          1.0            1.0            441   \n",
       "82398           3.0       2.0          1.0            1.0            441   \n",
       "82399           3.0       2.0          1.0            1.0            441   \n",
       "82400           3.0       2.0          1.0            1.0            435   \n",
       "82401           3.0       2.0          1.0            1.0            435   \n",
       "\n",
       "       n_disc_u  n_hosp_u  s_disc_u  s_hosp_u  total_disc  year_y  aprdrg  \\\n",
       "0        636191        24    332444        15       21737    2017   302.0   \n",
       "1         18409         9     11959         7        2872    2017   245.0   \n",
       "2        153598        41     70994        23        4374    2017   245.0   \n",
       "3       1482670        59    887925        44       17848    2017   247.0   \n",
       "4        726416        50    428437        37       10792    2017   231.0   \n",
       "...         ...       ...       ...       ...         ...     ...     ...   \n",
       "82397   1482670        59    887925        44       18731    2017   139.0   \n",
       "82398   1482670        59    887925        44       18731    2017   660.0   \n",
       "82399   1482670        59    887925        44       18731    2017   144.0   \n",
       "82400   2849102        73   1360786        41       17007    2017   245.0   \n",
       "82401   2849102        73   1360786        41       17113    2017   245.0   \n",
       "\n",
       "       aprdrg_risk_mortality  aprdrg_severity  hosp_nrd_y  next_nrdday  \\\n",
       "0                        1.0              2.0     42214.0          NaN   \n",
       "1                        1.0              1.0     41827.0          NaN   \n",
       "2                        1.0              1.0     42416.0          NaN   \n",
       "3                        1.0              1.0     43509.0      18633.0   \n",
       "4                        1.0              2.0     42947.0          NaN   \n",
       "...                      ...              ...         ...          ...   \n",
       "82397                    2.0              3.0     41084.0      15120.0   \n",
       "82398                    3.0              4.0     41084.0      15185.0   \n",
       "82399                    3.0              4.0     41084.0          NaN   \n",
       "82400                    1.0              2.0     42659.0      22935.0   \n",
       "82401                    1.0              2.0     44321.0          NaN   \n",
       "\n",
       "       days_to_readmission readmission_diagnosis  readmission_los  \\\n",
       "0                      NaN                   NaN              NaN   \n",
       "1                      NaN                   NaN              NaN   \n",
       "2                      NaN                   NaN              NaN   \n",
       "3                    284.0                 K5720              6.0   \n",
       "4                      NaN                   NaN              NaN   \n",
       "...                    ...                   ...              ...   \n",
       "82397                 57.0                  T865             21.0   \n",
       "82398                 44.0                  J205              2.0   \n",
       "82399                  NaN                   NaN              NaN   \n",
       "82400                 15.0                K51911              3.0   \n",
       "82401                  NaN                   NaN              NaN   \n",
       "\n",
       "       preventable_admission  pqi_1  pqi_3  pqi_5  pqi_7  pqi_8  pqi_11  \\\n",
       "0                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "1                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "2                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "3                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "4                        0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "...                      ...    ...    ...    ...    ...    ...     ...   \n",
       "82397                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "82398                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "82399                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "82400                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "82401                    0.0    0.0    0.0    0.0    0.0    0.0     0.0   \n",
       "\n",
       "       pqi_12  pqi_14  pqi_15  pqi_16  pqi_5_15_exclusion  \\\n",
       "0         0.0     0.0     0.0     0.0                 0.0   \n",
       "1         0.0     0.0     0.0     0.0                 0.0   \n",
       "2         0.0     0.0     0.0     0.0                 0.0   \n",
       "3         0.0     0.0     0.0     0.0                 0.0   \n",
       "4         0.0     0.0     0.0     0.0                 0.0   \n",
       "...       ...     ...     ...     ...                 ...   \n",
       "82397     0.0     0.0     0.0     0.0                 0.0   \n",
       "82398     0.0     0.0     0.0     0.0                 0.0   \n",
       "82399     0.0     0.0     0.0     0.0                 0.0   \n",
       "82400     0.0     0.0     0.0     0.0                 0.0   \n",
       "82401     0.0     0.0     0.0     0.0                 0.0   \n",
       "\n",
       "       pqi_7_medical_exclusions  pqi_7_procedural_exclusion  \\\n",
       "0                           0.0                         0.0   \n",
       "1                           0.0                         0.0   \n",
       "2                           0.0                         0.0   \n",
       "3                           0.0                         0.0   \n",
       "4                           0.0                         0.0   \n",
       "...                         ...                         ...   \n",
       "82397                       0.0                         0.0   \n",
       "82398                       0.0                         0.0   \n",
       "82399                       0.0                         0.0   \n",
       "82400                       0.0                         0.0   \n",
       "82401                       0.0                         0.0   \n",
       "\n",
       "       pqi_7_8_procedural_exclusion  pqi_11_exclusion  pqi_12_exclusion  \\\n",
       "0                               0.0               0.0               0.0   \n",
       "1                               0.0               0.0               0.0   \n",
       "2                               0.0               0.0               0.0   \n",
       "3                               0.0               0.0               0.0   \n",
       "4                               0.0               0.0               0.0   \n",
       "...                             ...               ...               ...   \n",
       "82397                           0.0               0.0               0.0   \n",
       "82398                           0.0               0.0               0.0   \n",
       "82399                           0.0               0.0               0.0   \n",
       "82400                           0.0               0.0               0.0   \n",
       "82401                           0.0               0.0               0.0   \n",
       "\n",
       "       pqi_immunocompromise_medical_exclusion  \\\n",
       "0                                         0.0   \n",
       "1                                         0.0   \n",
       "2                                         0.0   \n",
       "3                                         0.0   \n",
       "4                                         0.0   \n",
       "...                                       ...   \n",
       "82397                                     1.0   \n",
       "82398                                     1.0   \n",
       "82399                                     1.0   \n",
       "82400                                     0.0   \n",
       "82401                                     0.0   \n",
       "\n",
       "       pqi_immunocompromise_procedural_exclusion  pqi_16_exclusion_procedure  \\\n",
       "0                                            0.0                         0.0   \n",
       "1                                            0.0                         0.0   \n",
       "2                                            0.0                         0.0   \n",
       "3                                            0.0                         0.0   \n",
       "4                                            0.0                         0.0   \n",
       "...                                          ...                         ...   \n",
       "82397                                        0.0                         0.0   \n",
       "82398                                        0.0                         0.0   \n",
       "82399                                        0.0                         0.0   \n",
       "82400                                        0.0                         0.0   \n",
       "82401                                        0.0                         0.0   \n",
       "\n",
       "       pqi_16_amputation_procedure  medical_admission  hfrs_score  \\\n",
       "0                              0.0                0.0    0.000000   \n",
       "1                              0.0                1.0    2.000000   \n",
       "2                              0.0                1.0    2.400391   \n",
       "3                              0.0                1.0    1.799805   \n",
       "4                              0.0                0.0    0.000000   \n",
       "...                            ...                ...         ...   \n",
       "82397                          0.0                1.0    3.900391   \n",
       "82398                          0.0                1.0    5.101562   \n",
       "82399                          0.0                1.0    4.800781   \n",
       "82400                          0.0                1.0    0.000000   \n",
       "82401                          0.0                1.0    4.898438   \n",
       "\n",
       "       hfrs_severity  cc_score  cc_severity  cc_MI  cc_CHF  cc_PVD  cc_CVD  \\\n",
       "0                0.0       0.0          0.0      0       0       0       0   \n",
       "1                0.0       1.0          0.0      0       0       0       0   \n",
       "2                0.0       1.0          0.0      0       0       0       0   \n",
       "3                0.0       0.0          0.0      0       0       0       0   \n",
       "4                0.0       0.0          0.0      0       0       0       0   \n",
       "...              ...       ...          ...    ...     ...     ...     ...   \n",
       "82397            0.0       2.0          0.0      0       0       0       0   \n",
       "82398            1.0       2.0          0.0      0       0       0       0   \n",
       "82399            0.0       2.0          0.0      0       0       0       0   \n",
       "82400            0.0       0.0          0.0      0       0       0       0   \n",
       "82401            0.0       0.0          0.0      0       0       0       0   \n",
       "\n",
       "       cc_dementia  cc_COPD  cc_rheum  cc_peptic_ulcer  cc_mild_liver_disease  \\\n",
       "0                0        0         0                0                      0   \n",
       "1                0        1         0                0                      0   \n",
       "2                0        1         0                0                      0   \n",
       "3                0        0         0                0                      0   \n",
       "4                0        0         0                0                      0   \n",
       "...            ...      ...       ...              ...                    ...   \n",
       "82397            0        0         0                0                      0   \n",
       "82398            0        0         0                0                      0   \n",
       "82399            0        0         0                0                      0   \n",
       "82400            0        0         0                0                      0   \n",
       "82401            0        0         0                0                      0   \n",
       "\n",
       "       cc_diabetes_wo_complications  cc_diabetes_w_complications  cc_plegia  \\\n",
       "0                                 0                            0          0   \n",
       "1                                 0                            0          0   \n",
       "2                                 0                            0          0   \n",
       "3                                 0                            0          0   \n",
       "4                                 0                            0          0   \n",
       "...                             ...                          ...        ...   \n",
       "82397                             0                            0          0   \n",
       "82398                             0                            0          0   \n",
       "82399                             0                            0          0   \n",
       "82400                             0                            0          0   \n",
       "82401                             0                            0          0   \n",
       "\n",
       "       cc_renal  cc_malignancy  cc_severe_liver  cc_metastasis  cc_AIDS  \\\n",
       "0             0              0                0              0        0   \n",
       "1             0              0                0              0        0   \n",
       "2             0              0                0              0        0   \n",
       "3             0              0                0              0        0   \n",
       "4             0              0                0              0        0   \n",
       "...         ...            ...              ...            ...      ...   \n",
       "82397         0              1                0              0        0   \n",
       "82398         0              1                0              0        0   \n",
       "82399         0              1                0              0        0   \n",
       "82400         0              0                0              0        0   \n",
       "82401         0              0                0              0        0   \n",
       "\n",
       "       ibd_diagnosis  ibd_index_hospitalization  \n",
       "0                  1                          1  \n",
       "1                  1                          1  \n",
       "2                  1                          1  \n",
       "3                  1                          1  \n",
       "4                  2                          0  \n",
       "...              ...                        ...  \n",
       "82397              4                          0  \n",
       "82398              5                          0  \n",
       "82399              6                          0  \n",
       "82400              1                          1  \n",
       "82401              2                          0  \n",
       "\n",
       "[82402 rows x 187 columns]"
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<th>pqi_3</th>\n      <th>pqi_5</th>\n      <th>pqi_7</th>\n      <th>pqi_8</th>\n      <th>pqi_11</th>\n      <th>pqi_12</th>\n      <th>pqi_14</th>\n      <th>pqi_15</th>\n      <th>pqi_16</th>\n      <th>pqi_5_15_exclusion</th>\n      <th>pqi_7_medical_exclusions</th>\n      <th>pqi_7_procedural_exclusion</th>\n      <th>pqi_7_8_procedural_exclusion</th>\n      <th>pqi_11_exclusion</th>\n      <th>pqi_12_exclusion</th>\n      <th>pqi_immunocompromise_medical_exclusion</th>\n      <th>pqi_immunocompromise_procedural_exclusion</th>\n      <th>pqi_16_exclusion_procedure</th>\n      <th>pqi_16_amputation_procedure</th>\n      <th>medical_admission</th>\n      <th>hfrs_score</th>\n      <th>hfrs_severity</th>\n      <th>cc_score</th>\n      <th>cc_severity</th>\n      <th>cc_MI</th>\n      <th>cc_CHF</th>\n      <th>cc_PVD</th>\n      <th>cc_CVD</th>\n      <th>cc_dementia</th>\n      <th>cc_COPD</th>\n      <th>cc_rheum</th>\n      <th>cc_peptic_ulcer</th>\n      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<td>1.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2.017071e+11</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.389702</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>389.0</td>\n      <td>34.0</td>\n      <td>389.0</td>\n      <td>K5669</td>\n      <td>K5010</td>\n      <td>E663</td>\n      <td>Z885</td>\n      <td>Z6826</td>\n      <td>I10</td>\n      <td>K5900</td>\n      <td>F909</td>\n      <td>F3342</td>\n      <td>Z883</td>\n      <td>K5732</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>43509.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>11.0</td>\n      <td>0.0</td>\n      <td>18346.0</td>\n      <td>441.0</td>\n      <td>e002hi0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>28192.0</td>\n      <td>2017.0</td>\n      <td>4.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>17848</td>\n      <td>2017</td>\n      <td>247.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>43509.0</td>\n      <td>18633.0</td>\n      <td>284.0</td>\n      <td>K5720</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>1.799805</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      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<td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42947.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>18633.0</td>\n      <td>496.0</td>\n      <td>e002hi0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0T788DZ</td>\n      <td>0DBN4ZZ</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      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 <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>121265.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>139.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>41084.0</td>\n      <td>15120.0</td>\n      <td>57.0</td>\n      <td>T865</td>\n      <td>21.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>3.900391</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>82398</th>\n      <td>2.017115e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>11.0</td>\n      <td>4.0</td>\n      <td>919.0</td>\n      <td>35.0</td>\n      <td>919.0</td>\n      <td>T865</td>\n      <td>N170</td>\n      <td>J069</td>\n      <td>E872</td>\n      <td>D469</td>\n      <td>E8339</td>\n      <td>D89810</td>\n      <td>R197</td>\n      <td>D61818</td>\n      <td>R7989</td>\n      <td>K5090</td>\n      <td>D709</td>\n      <td>K219</td>\n      <td>Z006</td>\n      <td>E039</td>\n      <td>Z888</td>\n      <td>Y830</td>\n      <td>T367X5A</td>\n      <td>Y92230</td>\n      <td>G4700</td>\n      <td>Z9089</td>\n      <td>Z881</td>\n      <td>Z9049</td>\n      <td>Y92039</td>\n      <td>E806</td>\n      <td>B348</td>\n      <td>E785</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>21.0</td>\n      <td>21.0</td>\n      <td>21.0</td>\n      <td>27.0</td>\n      <td>5.0</td>\n      <td>15120.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0DB58ZX</td>\n      <td>0DB98ZX</td>\n      <td>0DBN8ZX</td>\n      <td>0DB68ZX</td>\n      <td>XW03341</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>594335.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>660.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>15185.0</td>\n      <td>44.0</td>\n      <td>J205</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>5.101562</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>5</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>82399</th>\n      <td>2.017035e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>12.0</td>\n      <td>4.0</td>\n      <td>202.0</td>\n      <td>35.0</td>\n      <td>202.0</td>\n      <td>J205</td>\n      <td>N170</td>\n      <td>E785</td>\n      <td>T8609</td>\n      <td>E871</td>\n      <td>K5090</td>\n      <td>D61818</td>\n      <td>E039</td>\n      <td>E440</td>\n      <td>G4700</td>\n      <td>D89810</td>\n      <td>B259</td>\n      <td>D801</td>\n      <td>Z006</td>\n      <td>I10</td>\n      <td>Z6821</td>\n      <td>Y848</td>\n      <td>Y92039</td>\n      <td>T380X5A</td>\n      <td>H04123</td>\n      <td>D469</td>\n      <td>R739</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>2.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>22.0</td>\n      <td>0.0</td>\n      <td>15185.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>90757.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>144.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.800781</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>6</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>82400</th>\n      <td>2.017032e+11</td>\n      <td>54.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.858673</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>387.0</td>\n      <td>34.0</td>\n      <td>387.0</td>\n      <td>K51911</td>\n      <td>I10</td>\n      <td>K649</td>\n      <td>K30</td>\n      <td>K219</td>\n      <td>D509</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42659.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>3.0</td>\n      <td>22917.0</td>\n      <td>435.0</td>\n      <td>ezzz5ob</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>0DBP8ZX</td>\n      <td>30233N1</td>\n      <td>0DBN8ZX</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>35391.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>435</td>\n      <td>2849102</td>\n      <td>73</td>\n      <td>1360786</td>\n      <td>41</td>\n      <td>17007</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42659.0</td>\n      <td>22935.0</td>\n      <td>15.0</td>\n      <td>K51911</td>\n      <td>3.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>82401</th>\n      <td>2.017154e+11</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.858673</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>386.0</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K51911</td>\n      <td>F330</td>\n      <td>Z87891</td>\n      <td>K5900</td>\n      <td>K649</td>\n      <td>I10</td>\n      <td>K219</td>\n      <td>D649</td>\n      <td>R45851</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>&lt;NA&gt;</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>44321.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>9.0</td>\n      <td>0.0</td>\n      <td>22935.0</td>\n      <td>435.0</td>\n      <td>ezzz5ob</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>27415.0</td>\n      <td>2017.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>435</td>\n      <td>2849102</td>\n      <td>73</td>\n      <td>1360786</td>\n      <td>41</td>\n      <td>17113</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>44321.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.898438</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>82402 rows × 187 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 23
    }
   ],
   "source": [
    "# This dictionary holds the fill in values for any blanks or NaN's in the data for the columns beginning with 'i10_pr'.\n",
    "# If there is no procedure, it will be filled in with a value of '' so we can iterate through the rows without any errors below for NaN's.\n",
    "fill_values_pr = {}\n",
    "\n",
    "# copy_columns will hold a list of columns that begin with 'i10_pr'\n",
    "copy_columns_pr = []\n",
    "\n",
    "# This loop goes through the columns in the final_cohort_file dataframe, finds the columns beginning with 'i10_pr', adds them to the dictionary.\n",
    "for column in column_list:\n",
    "    if 'i10_pr' in column:\n",
    "        fill_values_pr.update({column: ''})\n",
    "        copy_columns_pr.append(column)\n",
    "\n",
    "# Create a copy of the original dataframe, fill in only specified columns that have NaN with ''.\n",
    "final_cohort_file = final_cohort_file.fillna(value = fill_values_pr)\n",
    "\n",
    "final_cohort_file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Diagnosis Codes <a class=\"anchor\" id=\"diagnosiscodes\"></a>\n",
    "### - these columns will be created based on defined coding practices off of the diagnosis code columns (i10_dx##) using [Function: ICD-10 to Column](#icdtocolumn)\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Column for intestinal_abscess created.\n",
      "Column for meningitis created.\n",
      "Column for encephalitis created.\n",
      "Column for endocarditis created.\n",
      "Column for pneumonia created.\n",
      "Column for pyelonephritis created.\n",
      "Column for septic_arthritis_osteomyelitis created.\n",
      "Column for septicemia_or_bacteremia created.\n",
      "Column for clostridium_difficile created.\n",
      "Column for pulmonary_tuberculosis created.\n",
      "Column for atypical_mycobacteria created.\n",
      "Column for cryptococcosis_aspergillosis_histoplasmosis created.\n",
      "Column for listeriosis created.\n",
      "Column for leishmaniasis created.\n",
      "Column for pneumocystis_jiroveci_pneumonia created.\n",
      "Column for acute_myocardial_infarction created.\n",
      "Column for heart_failure created.\n",
      "Column for unstable_angina created.\n",
      "Column for arrhythmia created.\n",
      "Column for cardiac_arrest created.\n",
      "Column for vte_diagnosis_pe_or_dvt created.\n",
      "Column for history_of_vte created.\n",
      "Column for systemic_steroid_use created.\n",
      "Column for chronic_pain created.\n",
      "Column for opioid_overuse created.\n",
      "Column for depression created.\n",
      "Column for anxiety_disorder created.\n",
      "Column for bipolar_disorder created.\n",
      "Column for schizophrenia created.\n",
      "Column for problems_related_to_education_and_literacy created.\n",
      "Column for problems_related_to_employment_and_unemployment created.\n",
      "Column for occupational_exposure_to_risk_factors created.\n",
      "Column for problems_related_to_housing_and_economic_circumstances created.\n",
      "Column for problems_related_to_social_environment created.\n",
      "Column for problems_related_to_upbringing created.\n",
      "Column for other_problems_related_to_primary_support_group_including_family_circumstances created.\n",
      "Column for problems_related_to_certain_psychosocial_circumstances created.\n",
      "Column for problems_related_to_other_psychosocial_circumstances created.\n"
     ]
    }
   ],
   "source": [
    "# Creating columns using the function above.\n",
    "\n",
    "# -- SERIOUS INFECTIONS -- #\n",
    "\n",
    "# Intestinal abscess\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'intestinal_abscess', 'K630')\n",
    "\n",
    "# Meningitis\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'meningitis', 'G00|G01|G02|G03|A87')\n",
    "\n",
    "# Encephalitis\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'encephalitis', 'G040|G042|G043|G0481|G0490')\n",
    "\n",
    "# Endocarditis\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'endocarditis', 'I33|I38|I39')\n",
    "\n",
    "# Pneumonia\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'pneumonia', 'J11|J12|J13|J14|J15|J16|J17')\n",
    "\n",
    "# Pyelonephritis\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'pyelonephritis', 'N10')\n",
    "\n",
    "# Septic arthritis, Osteomyelitis\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'septic_arthritis_osteomyelitis', 'M00|M01|M86')\n",
    "\n",
    "# Septicemia or bacteremia\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'septicemia_or_bacteremia', 'A41|R7881')\n",
    "\n",
    "# Clostridium difficile\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'clostridium_difficile', 'A047')\n",
    "\n",
    "# -- OPPORTUNISTIC INFECTIONS -- #\n",
    "\n",
    "# Pulmonary tuberculosis\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'pulmonary_tuberculosis', 'A15')\n",
    "\n",
    "# Atypical mycobacteria\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'atypical_mycobacteria', 'A31')\n",
    "\n",
    "# Cryptococcosis, Aspergillosis, Histoplasmosis\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'cryptococcosis_aspergillosis_histoplasmosis', 'B45|B44|B39')\n",
    "\n",
    "# Listeriosis\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'listeriosis', 'A32')\n",
    "\n",
    "# Leishmaniasis\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'leishmaniasis', 'B55')\n",
    "\n",
    "# Pneumocystis jiroveci pneumonia\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'pneumocystis_jiroveci_pneumonia', 'B59')\n",
    "\n",
    "# -- CARDIAC -- #\n",
    "\n",
    "# Acute myocardial infarction\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'acute_myocardial_infarction', 'I21')\n",
    "\n",
    "# Heart failure\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'heart_failure', 'I50')\n",
    "\n",
    "# Unstable angina\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'unstable_angina', 'I200')\n",
    "\n",
    "# Arrhythmia\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'arrhythmia', 'I44|I45|I47|I48|I49')\n",
    "\n",
    "# Cardiac arrest\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'cardiac_arrest', 'I46')\n",
    "\n",
    "# -- VENOUS THROMBOEMBOLISM -- #\n",
    "\n",
    "# VTE diagnosis (PE or DVT)\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'vte_diagnosis_pe_or_dvt', 'I824|I260|I269')\n",
    "\n",
    "# History of VTE\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'history_of_vte', 'Z8671')\n",
    "\n",
    "# -- STEROID USE -- #\n",
    "\n",
    "# Systemic steroid use\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'systemic_steroid_use', 'Z7952')\n",
    "\n",
    "# -- CHRONIC PAIN -- #\n",
    "\n",
    "# Chronic pain\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'chronic_pain', 'G894')\n",
    "\n",
    "# -- OPIOID USE -- #\n",
    "\n",
    "# Opioid overuse\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'opioid_overuse', 'F111|T400')\n",
    "\n",
    "# -- PSYCHIATRIC BURDEN -- #\n",
    "\n",
    "# Depression\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'depression', 'F32|F33|F34')\n",
    "\n",
    "# Anxiety disorder\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'anxiety_disorder', 'F40|F41')\n",
    "\n",
    "# Bipolar disorder\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'bipolar_disorder', 'F31')\n",
    "\n",
    "# Schizophrenia\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'schizophrenia', 'F20|F25')\n",
    "\n",
    "# -- SOCIAL DETERMINANTS OF HEALTH -- #\n",
    "\n",
    "# Problems related to education and literacy\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'problems_related_to_education_and_literacy', 'Z55')\n",
    "\n",
    "# Problems related to employment and unemployment\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'problems_related_to_employment_and_unemployment', 'Z56')\n",
    "\n",
    "# Occupational exposure to risk factors\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'occupational_exposure_to_risk_factors', 'Z57')\n",
    "\n",
    "# Problems related to housing and economic circumstances\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'problems_related_to_housing_and_economic_circumstances', 'Z59')\n",
    "\n",
    "# Problems related to social environment\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'problems_related_to_social_environment', 'Z60')\n",
    "\n",
    "# Problems related to upbringing\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'problems_related_to_upbringing', 'Z62')\n",
    "\n",
    "# Other problems related to primary support group, including family circumstances\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'other_problems_related_to_primary_support_group_including_family_circumstances', 'Z63')\n",
    "\n",
    "# Problems related to certain psychosocial circumstances\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'problems_related_to_certain_psychosocial_circumstances', 'Z64')\n",
    "\n",
    "# Problems related to other psychosocial circumstances\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'problems_related_to_other_psychosocial_circumstances', 'Z65')"
   ]
  },
  {
   "source": [
    "## Additional Columns for Validation Testing <a class=\"anchor\" id=\"validation\"></a>\n",
    "### - these columns will be created based on defined coding practices off of existing columns in the dataframe using [Function: ICD-10 to Column](#icdtocolumn)\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Column for thromboses created.\n",
      "Column for steroid_use created.\n",
      "Column for abd_pain_adm created.\n",
      "Column for aki_adm created.\n",
      "Column for gi_bleed_adm created.\n",
      "Column for cm_wghtloss created.\n",
      "Column for cm_anemdef created.\n",
      "Column for cm_renlfail created.\n",
      "Column for cm_dmcx created.\n",
      "Column for cm_drug created.\n",
      "Column for cm_lymph created.\n",
      "Column for cm_para created.\n",
      "Column for cm_ulcer created.\n",
      "Column for new_osteo_adm created.\n",
      "Column for fractures created.\n",
      "Column for pq1_dm_short created.\n",
      "Column for pq2_perf_appendix created.\n",
      "Column for pq14_diabeteswocomp created.\n",
      "Column for pq16_dm_amputate created.\n",
      "Column for neuro_adm created.\n",
      "Column for new_mi_adm created.\n",
      "Column for cm_tumor created.\n"
     ]
    }
   ],
   "source": [
    "# -- ADDITIONAL COLUMNS FOR VALIDATION TESTING BETWEEN 2013 AND 2017 DATA SETS -- #\n",
    "\n",
    "# Convert 'drg' column to type string since it has float values and function will not work otherwise.\n",
    "final_cohort_file['drg'] = final_cohort_file['drg'].astype(str)\n",
    "\n",
    "# Thromboses\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'thromboses', 'I824|I260|I269|Z8671')\n",
    "\n",
    "# Steroid Use\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'steroid_use', 'V5865')\n",
    "\n",
    "# Abdominal Pain\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'abd_pain_adm', '78900')\n",
    "\n",
    "# Acute Kidney Injury\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'aki_adm', '5849')\n",
    "\n",
    "# GI Bleed\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'gi_bleed_adm', '5789')\n",
    "\n",
    "# cm_wghtloss\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'cm_wghtloss', 'R634')\n",
    "\n",
    "# cm_anemdef\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'cm_anemdef', 'D649')\n",
    "\n",
    "# cm_renlfail\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'cm_renlfail', 'N18')\n",
    "\n",
    "# Diabetes with chronic complications (cm_dmcx)\n",
    "icd10_to_column(final_cohort_file, drg, 'cm_dmcx', '637|638')\n",
    "\n",
    "# Drug abuse as a comorbidity (cm_drug)\n",
    "icd10_to_column(final_cohort_file, drg, 'cm_drug', '895|896|897')\n",
    "\n",
    "# cm_lymph\n",
    "icd10_to_column(final_cohort_file, drg, 'cm_lymph', '840|841|842')\n",
    "\n",
    "# cm_para\n",
    "icd10_to_column(final_cohort_file, drg, 'cm_para', '091|092|093')\n",
    "\n",
    "# cm_ulcer\n",
    "icd10_to_column(final_cohort_file, drg, 'cm_ulcer', '383|384')\n",
    "\n",
    "# new_osteo_adm\n",
    "icd10_to_column(final_cohort_file, drg, 'new_osteo_adm', '539|540|541')\n",
    "\n",
    "# fractures (hip and pelvis)\n",
    "icd10_to_column(final_cohort_file, drg, 'fractures', '535|536')\n",
    "\n",
    "# pq1_dm_short\n",
    "icd10_to_column(final_cohort_file, drg, 'pq1_dm_short', '637|638')\n",
    "\n",
    "# pq2_perf_appendix\n",
    "icd10_to_column(final_cohort_file, drg, 'pq2_perf_appendix', '338|339|340')\n",
    "\n",
    "# pq14_diabeteswocomp\n",
    "icd10_to_column(final_cohort_file, drg, 'pq14_diabeteswocomp', '639')\n",
    "\n",
    "# pq16_dm_amputate\n",
    "icd10_to_column(final_cohort_file, drg, 'pq16_dm_amputate', '616')\n",
    "\n",
    "# neuro_adm\n",
    "icd10_to_column(final_cohort_file, drg, 'neuro_adm', '082|083|084|100|101|102|103|149|880')\n",
    "\n",
    "# new_mi_adm - this one is a bit unique in that it has an IDC-10 code and DRG codes we need to check. Flag if ICD-10 is I219 OR if DRG is 222, 223, 280, 281, 282, 283, 284, or 285.\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'new_mi_adm', 'I219')\n",
    "# Next run the following code to flag any drg codes in the same column.\n",
    "for column in drg:\n",
    "    final_cohort_file.loc[final_cohort_file[column].str.contains('222|223|280|281|282|283|284|285'), 'new_mi_adm'] = 1\n",
    "\n",
    "# cm_tumor - this one is similar to new_mi_adm so follow the same steps as above. Flag if ICD-10 is C801 OR if DRG is 845.\n",
    "icd10_to_column(final_cohort_file, diagnoses, 'cm_tumor', 'C801')\n",
    "# Next run the following code to flag any drg codes in the same column.\n",
    "for column in drg:\n",
    "    final_cohort_file.loc[final_cohort_file[column].str.contains('845'), 'cm_tumor'] = 1"
   ]
  },
  {
   "source": [
    "## Split Admission Reasons <a class=\"anchor\" id=\"split\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The code block uses the DRG column to divide up the admission reasons for each patient.\n",
    "# The DRGs are derived from version 34. It uses np.select to assign it based on if it's in a list\n",
    "# And then after the adm_reason column is created, use get_dummies to make dummies off of it.\n",
    "cardiac_drg = [216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 231, 232, 233, 234, 235, 236, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316]\n",
    "cerebrovascular_drg = [61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74]\n",
    "respiratory_drg = [166, 167, 168, 169, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208]\n",
    "infection_drg = [75, 76, 94, 95, 96, 97, 98, 99, 121, 122, 177, 178, 179, 371, 372, 373, 456, 457, 458, 485, 486, 487, 488, 489, 548, 549, 550, 689, 690, 757, 758, 759, 853, 854, 855, 856, 857, 858, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872]\n",
    "genitourinary_drg = [652, 653, 654, 655, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 682, 683, 684, 685, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 707, 708, 709, 710, 711, 712, 713, 714, 725, 726, 727, 728, 729, 730, 734, 735, 742, 743, 744, 745, 746, 747, 748, 749, 750, 760, 761]\n",
    "gastrointestinal_drg = [326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 368, 369, 370, 377, 378, 379, 380, 381, 382, 383, 384, 388, 389, 390, 391, 392, 393, 394, 395, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 432, 433, 434, 438, 439, 440, 441, 442, 443, 444, 445, 446]\n",
    "endo_metabo_drg = [614, 615, 616, 617, 618, 622, 623, 624, 625, 626, 627, 628, 629, 630, 637, 638, 639, 640, 641, 642, 643, 644, 645]\n",
    "neuropsychiatric_drg = [876, 880, 881, 882, 883, 884, 885, 886, 887, 894, 895, 896, 897]\n",
    "malignancies_drg = [54, 55, 146, 147, 148, 180, 181, 182, 374, 375, 376, 435, 436, 437, 542, 543, 544, 582, 593, 597, 598, 599, 656, 657, 658, 686, 687, 688, 715, 716, 722, 723, 724, 736, 737, 738, 739, 740, 754, 755, 756, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849]\n",
    "thromboembolism_drg = [175, 176, 294, 295]\n",
    "fracture_drg = [533, 534, 535, 536, 542, 543, 544]\n",
    "ibd_drg = [385, 386, 387]\n",
    "conditions = [\n",
    "    final_cohort_file['drg'].isin(cardiac_drg), \n",
    "    final_cohort_file['drg'].isin(cerebrovascular_drg), \n",
    "    final_cohort_file['drg'].isin(respiratory_drg), \n",
    "    final_cohort_file['drg'].isin(infection_drg), \n",
    "    final_cohort_file['drg'].isin(genitourinary_drg), \n",
    "    final_cohort_file['drg'].isin(gastrointestinal_drg), \n",
    "    final_cohort_file['drg'].isin(endo_metabo_drg), \n",
    "    final_cohort_file['drg'].isin(neuropsychiatric_drg), \n",
    "    final_cohort_file['drg'].isin(malignancies_drg), \n",
    "    final_cohort_file['drg'].isin(thromboembolism_drg), \n",
    "    final_cohort_file['drg'].isin(fracture_drg), \n",
    "    final_cohort_file['drg'].isin(ibd_drg)\n",
    "]\n",
    "choices = ['cardiac', 'cerebrovascular', 'respiratory', 'infection', 'genitourinary', 'gastrointestinal', 'endo_metabolism', \n",
    "           'neuropsychiatric', 'malignancies', 'thromboembolism', 'fracture', 'ibd']\n",
    "\n",
    "#convert back from string to float to int\n",
    "final_cohort_file['drg'] = final_cohort_file['drg'].astype(float)\n",
    "final_cohort_file['drg'] = final_cohort_file['drg'].astype(int)\n",
    "final_cohort_file['adm_reason'] = np.select(conditions, choices, default=None)\n",
    "final_cohort_file = pd.get_dummies(final_cohort_file, columns=['adm_reason'], prefix='adm_reason')"
   ]
  },
  {
   "source": [
    "## Revise cc_severity to Reflect 2013 Data <a class=\"anchor\" id=\"reviseccseverity\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#The code below changes cc_severity to how it works in NRD 2013\n",
    "def change_cc_severity(row):\n",
    "    if row['cc_MI'] + row['cc_CHF'] + row['cc_PVD'] + row['cc_CVD'] + row['cc_dementia'] + row['cc_COPD'] + row['cc_rheum'] + row['cc_peptic_ulcer'] + row['cc_mild_liver_disease'] + row['cc_diabetes_wo_complications'] + row['cc_diabetes_w_complications'] + row['cc_plegia'] + row['cc_renal'] + row['cc_malignancy'] + row['cc_severe_liver'] + row['cc_metastasis'] + row['cc_AIDS'] == 1:\n",
    "        return 1\n",
    "    elif row['cc_MI'] + row['cc_CHF'] + row['cc_PVD'] + row['cc_CVD'] + row['cc_dementia'] + row['cc_COPD'] + row['cc_rheum'] + row['cc_peptic_ulcer'] + row['cc_mild_liver_disease'] + row['cc_diabetes_wo_complications'] + row['cc_diabetes_w_complications'] + row['cc_plegia'] + row['cc_renal'] + row['cc_malignancy'] + row['cc_severe_liver'] + row['cc_metastasis'] + row['cc_AIDS'] > 1:\n",
    "        return 2\n",
    "    else:\n",
    "        return 0\n",
    "final_cohort_file['cc_severity'] = final_cohort_file.apply(lambda row: change_cc_severity(row), axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Procedure Codes <a class=\"anchor\" id=\"procedurecodes\"></a>\n",
    "### - these columns will be created based on defined coding practices off of the procedure code columns (i10_pr##) using [Function: ICD-10 to Column](#icdtocolumn)\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Column for intestinal_surgery created.\n",
      "Column for flexible_sigmoidoscopy_colonoscopy created.\n",
      "Column for blood_transfusion created.\n",
      "Column for parenteral_or_enteral_nutrition created.\n"
     ]
    }
   ],
   "source": [
    "# -- SURGERY -- #\n",
    "\n",
    "# Intestinal surgery\n",
    "icd10_to_column(final_cohort_file, procedures, 'intestinal_surgery', '0DB80ZZ|0DB83ZZ|0DB84ZZ|0DB87ZZ|0DB88ZZ|0DT90ZZ|0DT94ZZ|0DT97ZZ|0DT98ZZ|0DTA0ZZ|0DTA4ZZ|0DTA7ZZ|0DTA8ZZ|0DTB0ZZ|0DTB4ZZ|0DTB7ZZ|0DTB8ZZ|0DT80ZZ|0DT84ZZ|0DT87ZZ|0DT88ZZ|0DBE0ZZ|0DBE3ZZ|0DBE7ZZ|0DBE8ZZ|0DTH0ZZ|0DTH7ZZ|0DTH8ZZ|0DTF0ZZ|0DTF7ZZ|0DTF8ZZ|0DTK0ZZ|0DTL0ZZ|0DTL7ZZ|0DTL8ZZ|0DTG0ZZ|0DTG7ZZ|0DTG8ZZ|0DTN0ZZ|0DTN7ZZ|0DTN8ZZ|0DBE0ZZ|0DBE3ZZ|0DBE7ZZ|0DBE8ZZ|0DTE4ZZ|0DTE0ZZ|0DTE7ZZ|0DTE8ZZ|0DTP0ZZ|0DTP4ZZ|0DTP7ZZ|0DTP8ZZ|0DTP4ZZ|0DTP0ZZ|0DTP0ZZ|0DTP4ZZ|0D1N0Z4|0D1N4Z4|0DBP0ZZ|0DBP4ZZ|0DQ80ZZ|0DQ83ZZ|0DQ84ZZ|0DQ87ZZ|0DQ88ZZ|0DQA0ZZ|0DQA3ZZ|0DQA4ZZ|0DQA7ZZ|0DQA8ZZ|0DQE0ZZ|0DQE3ZZ|0DQE4ZZ|0DQE7ZZ|0DQE8ZZ|0DQN0ZZ|0DQN3ZZ|0DQN4ZZ|0DQN7ZZ|0DQN8ZZ|0DQP0ZZ|0DQP3ZZ|0DQP4ZZ|0DQP7ZZ|0DQP8ZZ|0DQQ0ZZ|0DQQ3ZZ|0DQQ4ZZ|0DQQ7ZZ|0DQQ8ZZ|0DQQXZZ|0H89XZZ|0DBQ0ZZ|0DBQ3ZZ|0DBQ4ZZ|0TQB0ZZ|0TQB3ZZ|0TQB4ZZ|0TQB7ZZ|0TQB8ZZ|0UQG0ZZ|0UQG3ZZ|0UQG4ZZ|0UQG7ZZ|0UQG8ZZ')\n",
    "\n",
    "# -- PROCEDURES -- #\n",
    "\n",
    "# Flexible sigmoidoscopy/colonoscopy\n",
    "icd10_to_column(final_cohort_file, procedures, 'flexible_sigmoidoscopy_colonoscopy', '0DJD8ZZ|0D9E8ZX|0D9H8ZX|0D9N8ZX|0DBE8ZX|0DBH8ZX|0DBN8ZX|0DBE8ZZ')\n",
    "\n",
    "# Blood Transfusion\n",
    "icd10_to_column(final_cohort_file, procedures, 'blood_transfusion', '30233H1|30243H1|30253H1|30263H1|30233H0|30233N0|30233W0|30243H0|30243N0|30243W0|30253H0|30253N0|30253W0|30263H0|30263N0|30263W0|30233N1|30233P1|30243N1|30243P1|30253N1|30253P1|30263N1|30263P1|30233R1|30243R1|30253R1|30263R1')\n",
    "\n",
    "# Parenteral or enteral nutrition\n",
    "icd10_to_column(final_cohort_file, procedures, 'parenteral_or_enteral_nutrition', '0DH67UZ|0DH68UZ|3E0G36Z|3E0336Z|3E0436Z|3E0536Z|3E0636Z')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calculated Fields <a class=\"anchor\" id=\"calculated\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "source": [
    "## Function: Follow Up Diagnoses/Procedures <a class=\"anchor\" id=\"follow\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This function will take care of creating a new column for followup diagnoses/procedures as well as a new column for total diagnoses/procedures, per type of infection, use, etc.\n",
    "# df: Pass in the dataframe that has the data that you want to create the columns in.\n",
    "# columns_to_sum: A list of column names that will be used to flag a 0 or 1 for if the patient has that type of diagnosis/procedure.\n",
    "# followup_column_name: A string reference of what the column with the flagged outcomes will be named.\n",
    "# total_column_name: A string reference of what the column with the total per patient will be named.\n",
    "# Must return the dataframe once it has been updated, otherwise localized variables will be lost.\n",
    "\n",
    "def followup(df, columns_to_sum, followup_column_name, total_column_name):\n",
    "\n",
    "    # A list of all column names.\n",
    "    all_columns = df.columns.to_list()\n",
    "\n",
    "    # Initialize a list to hold the numerical position of the columns and a counter.\n",
    "    index_column_positions = []\n",
    "    y = 0\n",
    "\n",
    "    # Create a list of columns only if they include one of the columns that is in the columns_to_sum.\n",
    "    for column in all_columns:\n",
    "        for name in columns_to_sum:\n",
    "            if name == column:\n",
    "                index_column_positions.append(y)\n",
    "        y += 1\n",
    "\n",
    "    # A new column that sums up the values in all of the columns_to_sum columns so we can create the temp_total column. If this column is >= 1 then it means that the \n",
    "    # diagnosis/procedure/infection/usage exists for that patient in that visit. If it's 0, then it means they did not have that diagnosis/procedure/infection/usage on that visit.\n",
    "    df['temp_total'] = df.iloc[:, index_column_positions[0]:index_column_positions[-1]+1].sum(axis=1)\n",
    "\n",
    "    # Start with a placeholder for nrd_visitlink that is made up ('aaaaaa'). This will hold the previous rows nrd_visitlink in each iteration.\n",
    "    # Keep a variable to track whether or not it is before or after the index hospitalization.\n",
    "    # row_num keeps track of which row we are on.\n",
    "    id_placeholder = 'aaaaaa'\n",
    "    after_index = 'yes'\n",
    "    row_num = 0\n",
    "\n",
    "    df[followup_column_name] = 0\n",
    "\n",
    "    # This loop goes through each row and compares the nrd_visitlink with that of the previous row. \n",
    "    for row in df.itertuples(index=False):\n",
    "        id_current = row.nrd_visitlink\n",
    "        # If the current and previous nrd_visitlink are not the same and it is the patient's index hospitalization and temp_total >= 1, then add a 1 to the followup_column_name\n",
    "        # column. Set after_index to 'yes'.\n",
    "        if id_current != id_placeholder and row.ibd_index_hospitalization == 1 and row.temp_total >= 1:\n",
    "            df.at[row_num, followup_column_name] = 1\n",
    "            id_placeholder = id_current\n",
    "            after_index = 'yes'\n",
    "        # If the current and previous nrd_visitlink are not the same and it is the patient's index hospitalization and temp_total < 1, then add a 0 to the followup_column_name\n",
    "        # column. Set after_index to 'yes'.\n",
    "        elif id_current != id_placeholder and row.ibd_index_hospitalization == 1 and row.temp_total < 1:\n",
    "            df.at[row_num, followup_column_name] = 0\n",
    "            id_placeholder = id_current\n",
    "            after_index = 'yes'\n",
    "        # If the current and previous nrd_visitlink are not the same and it is not the patient's index hospitalization, then add a 0 to the followup_column_name column. Set\n",
    "        # after_index to 'no'.\n",
    "        elif id_current != id_placeholder and row.ibd_index_hospitalization == 0:\n",
    "            df.at[row_num, followup_column_name] = 0\n",
    "            id_placeholder = id_current\n",
    "            after_index = 'no'\n",
    "        # If the current and previous nrd_visitlink are the same and it is not the patient's index hospitalization, then add a 0 to the followup_column_name column. Set after_index\n",
    "        # to 'no'.\n",
    "        elif id_current == id_placeholder and row.ibd_index_hospitalization == 0 and after_index == 'no':\n",
    "            df.at[row_num, followup_column_name] = 0\n",
    "            id_placeholder = id_current\n",
    "            after_index = 'no'\n",
    "        # If the current and previous nrd_visitlink are the same and it is the patient's index hospitalization and temp_total >= 1, then add a 1 to the followup_column_name column.\n",
    "        # Set after_index to 'yes'.\n",
    "        elif id_current == id_placeholder and row.ibd_index_hospitalization == 1 and row.temp_total >= 1:\n",
    "            df.at[row_num, followup_column_name] = 1\n",
    "            id_placeholder = id_current\n",
    "            after_index = 'yes'\n",
    "        # If the current and previous nrd_visitlink are the same and it is the patient's index hospitalization and temp_total < 1, then add a 0 to the followup_column_name column.\n",
    "        # Set after_index to 'yes'.\n",
    "        elif id_current == id_placeholder and row.ibd_index_hospitalization == 1 and row.temp_total < 1:\n",
    "            df.at[row_num, followup_column_name] = 0\n",
    "            id_placeholder = id_current\n",
    "            after_index = 'yes'\n",
    "        # If the current and previous nrd_visitlink are the same and temp_total >= 1, then add a 1 to the followup_column_name column.\n",
    "        elif id_current == id_placeholder and after_index == 'yes' and row.temp_total >= 1:\n",
    "            df.at[row_num, followup_column_name] = 1\n",
    "            id_placeholder = id_current\n",
    "         # If the current and previous nrd_visitlink are the same and temp_total < 1, then add a 0 to the followup_column_name column.\n",
    "        elif id_current == id_placeholder and after_index == 'yes' and row.temp_total < 1:\n",
    "            df.at[row_num, followup_column_name] = 0\n",
    "            id_placeholder = id_current\n",
    "        row_num += 1\n",
    "\n",
    "    # Drop the 'temp_total' column since we no longer need it.\n",
    "    df = df.drop(columns=['temp_total'])\n",
    "\n",
    "    # Use pivot_table with aggregate function 'sum' to essentially group by the nrd_visitlinks and sum the total number of diagnosis/procedure/infection/usage for each patient.\n",
    "    pivot_df = df.pivot_table(index='nrd_visitlink', values=followup_column_name, aggfunc='sum').reset_index()\n",
    "\n",
    "    # Since the pivot table only has unique patient nrd_visitlink's and totals per patient, create a dictionary to store each patient and their total number of \n",
    "    # diagnosis/procedure/infection/usage.\n",
    "    patient_totals = {}\n",
    "    for row in pivot_df.itertuples(index=False):\n",
    "        patient_totals.update({row.nrd_visitlink: row[1]})\n",
    "\n",
    "    # Create a new column called total_column_name by mapping the nrd_visitlinks values from the dicionary patient_totals.\n",
    "    df[total_column_name] = df['nrd_visitlink'].map(patient_totals)\n",
    "\n",
    "    # Print statment so we know it's done. Before printing, split the string into individual words, join into single string with spaces, split on 'during', trim whitespaces.\n",
    "    followup_column_name = followup_column_name.split(\"_\")\n",
    "    followup_column_name = \" \".join(followup_column_name).split(\"during\")\n",
    "    print(f'Completed columns for {followup_column_name[0].strip()}.')\n",
    "\n",
    "    # Return the dataframe with the new columns, otherwise we will not have any of the columns when we move forward.\n",
    "    return df"
   ]
  },
  {
   "source": [
    "## Follow Up Diagnosis/Procedure Columns <a class=\"anchor\" id=\"followupcolumns\"></a>\n",
    "### - creates columns based on follow up diagnoses/procedures and also totals them up in a separate column per patient\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Completed columns for serious infections.\n",
      "Completed columns for opportunistic infections.\n",
      "Completed columns for cardiac.\n",
      "Completed columns for venous thromboembolism.\n",
      "Completed columns for steroid use.\n",
      "Completed columns for chronic pain.\n",
      "Completed columns for opioid overuse.\n",
      "Completed columns for psychiatric burden.\n",
      "Completed columns for social determinants of health.\n",
      "Completed columns for intestinal surgery.\n",
      "Completed columns for flexible sigmoidoscopy colonoscopy.\n",
      "Completed columns for blood transfusion.\n",
      "Completed columns for parenteral or enteral nutrition.\n"
     ]
    }
   ],
   "source": [
    "# First create a list of the required column names.\n",
    "# Then call the function created above to populate the calculated field columns.\n",
    "\n",
    "# -- DIAGNOSIS CODES -- #\n",
    "\n",
    "# -- SERIOUS INFECTIONS -- #\n",
    "serious_infections = ['intestinal_abscess', 'meningitis', 'encephalitis', 'endocarditis', 'pneumonia', 'pyelonephritis', 'septic_arthritis_osteomyelitis', 'septicemia_or_bacteremia', 'clostridium_difficile']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, serious_infections, 'serious_infections_during_followup', 'total_serious_infection_admissions')\n",
    "\n",
    "\n",
    "# -- OPPORTUNISTIC INFECTIONS -- #\n",
    "opportunistic_infections = ['pulmonary_tuberculosis', 'atypical_mycobacteria', 'cryptococcosis_aspergillosis_histoplasmosis', 'listeriosis', 'leishmaniasis', 'pneumocystis_jiroveci_pneumonia']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, opportunistic_infections, 'opportunistic_infections_during_followup', 'total_opportunistic_infection_admissions')\n",
    "\n",
    "# -- CARDIAC -- #\n",
    "cardiac = ['acute_myocardial_infarction', 'heart_failure', 'unstable_angina', 'arrhythmia', 'cardiac_arrest']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, cardiac, 'cardiac_during_followup', 'total_cardiac_admissions')\n",
    "\n",
    "\n",
    "# -- VENOUS THROMBOEMBOLISM -- #\n",
    "venous_thromboembolism = ['vte_diagnosis_pe_or_dvt', 'history_of_vte']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, venous_thromboembolism, 'venous_thromboembolism_during_followup', 'total_venous_thromboembolism_admissions')\n",
    "\n",
    "\n",
    "# -- STEROID USE -- #\n",
    "steroid_use = ['systemic_steroid_use']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, steroid_use, 'steroid_use_during_followup', 'total_steroid_use_admissions')\n",
    "\n",
    "\n",
    "# -- CHRONIC PAIN -- #\n",
    "chronic_pain = ['chronic_pain']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, chronic_pain, 'chronic_pain_during_followup', 'total_chronic_pain_admissions')\n",
    "\n",
    "\n",
    "# -- OPIOID OVERUSE -- #\n",
    "opioid_overuse = ['opioid_overuse']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, opioid_overuse, 'opioid_overuse_during_followup', 'total_opioid_overuse_admissions')\n",
    "\n",
    "\n",
    "# -- PSYCHIATRIC BURDEN -- #\n",
    "psychiatric_burden = ['depression', 'anxiety_disorder', 'bipolar_disorder'] # not including schizophrenia\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, psychiatric_burden, 'psychiatric_burden_during_followup', 'total_psychiatric_burden_admissions')\n",
    "\n",
    "# -- SOCIAL DETERMINANTS OF HEALTH -- #\n",
    "social_determinants_of_health = ['problems_related_to_education_and_literacy', 'problems_related_to_employment_and_unemployment', 'occupational_exposure_to_risk_factors', 'problems_related_to_housing_and_economic_circumstances', 'problems_related_to_social_environment', 'problems_related_to_upbringing', 'other_problems_related_to_primary_support_group_including_family_circumstances', 'problems_related_to_certain_psychosocial_circumstances', 'problems_related_to_other_psychosocial_circumstances']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, serious_infections, 'social_determinants_of_health_during_followup', 'total_social_determinants_of_health_admissions')\n",
    "\n",
    "# -- PROCEDURE CODES -- #\n",
    "\n",
    "# -- SURGERY -- #\n",
    "\n",
    "# -- INTESTINAL SURGERY -- #\n",
    "intestinal_surgery = ['intestinal_surgery']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, intestinal_surgery, 'intestinal_surgery_during_followup', 'total_intestinal_surgery_admissions')\n",
    "\n",
    "# -- PROCEDURES -- #\n",
    "\n",
    "# -- FLEXIBLE SIGMOIDOSCOPY/COLONOSCOPY -- #\n",
    "flexible_sigmoidoscopy_colonoscopy = ['flexible_sigmoidoscopy_colonoscopy']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, flexible_sigmoidoscopy_colonoscopy, 'flexible_sigmoidoscopy_colonoscopy_during_followup', 'total_flexible_sigmoidoscopy_colonoscopy_admissions')\n",
    "\n",
    "# -- BLOOD TRANSFUSION -- #\n",
    "blood_transfusion = ['blood_transfusion']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, blood_transfusion, 'blood_transfusion_during_followup', 'total_blood_transfusion_admissions')\n",
    "\n",
    "# -- PARENTERAL OR ENTERAL NUTRITION -- #\n",
    "parenteral_or_enteral_nutrition = ['parenteral_or_enteral_nutrition']\n",
    "\n",
    "final_cohort_file = followup(final_cohort_file, parenteral_or_enteral_nutrition, 'parenteral_or_enteral_nutrition_during_followup', 'total_parenteral_or_enteral_nutrition_admissions')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## severe_ibd_hospitalization <a class=\"anchor\" id=\"severe\"></a>\n",
    "### - length of stay >= 7 or surgery during hospitalization\n",
    "<br></br>\n",
    "## tot_admits_for_pt\n",
    "### - total number of hospitalizations for a given patient (including the index hospitalization)\n",
    "<br></br>\n",
    "## tot_hosp_charges_for_pt\n",
    "### - total hospital charges across all hospitalizations (sum hospital charges across hospitalizations, including index hospitalization)\n",
    "<br></br>\n",
    "## tot_los_pt\n",
    "### - total length of stay across all hospitalizations (including the index hospitalization)\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:04, 17931.43it/s]\n"
     ]
    }
   ],
   "source": [
    "# Start with a placeholder for nrd_visitlink that is initialized with the first nrd_visitlink. This will hold the previous rows nrd_visitlink in each iteration.\n",
    "# Keep a variable to track whether or not it is before or after the index hospitalization. Initialize with 'no'.\n",
    "# row_num keeps track of which row we are on.\n",
    "id_placeholder = final_cohort_file['nrd_visitlink'][0]\n",
    "after_index = 'no'\n",
    "row_num = 0\n",
    "\n",
    "# Counter will count the number of times a patient has been admitted starting from the index hospitalization. \n",
    "# total_admits will create a mapping dictionary from which we can map the totals back to the dataframe using the nrd_visitlink.\n",
    "counter = 1\n",
    "total_admits = {}\n",
    "\n",
    "# Initialize tot_chrg with 0. This varable will hold the sum of charges for each patient from the index hospitalization to their last.\n",
    "# total_charges will create a mapping dictionary from which we can map the total charges back to the dataframe using the nrd_visitlink.\n",
    "tot_chrg = 0\n",
    "total_charges = {}\n",
    "\n",
    "# Initialize tot_los with 0. This varable will hold the sum of length of stay for each patient from the index hospitalization to their last.\n",
    "# total_los will create a mapping dictionary from which we can map the total length of stay back to the dataframe using the nrd_visitlink.\n",
    "tot_los = 0\n",
    "total_los = {}\n",
    "\n",
    "# Store the nrd_visitlink for the last patient in the dataframe for use later.\n",
    "last_patient = final_cohort_file['nrd_visitlink'][len(final_cohort_file)-1]\n",
    "\n",
    "# Initialize the severe_ibd_hospitalization column with a 0.\n",
    "# Initialize the readm_thirty_days column with a 0.\n",
    "final_cohort_file['severe_ibd_hospitalization'] = 0\n",
    "\n",
    "# Fill the totchg column NaN values with 0.\n",
    "final_cohort_file = final_cohort_file.fillna(value = {'totchg': 0})\n",
    "\n",
    "# This loop goes through each row and compares the nrd_visitlink with that of the previous row. \n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    id_current = row.nrd_visitlink\n",
    "    # If the last row is not a hospitalization related to the previous patient id, then it must be a new patient with an index hospitalization, fill everything in accordingly.\n",
    "    # This MUST be the first check in the loop, otherwise it will default to the first elif statement.\n",
    "    if id_current == last_patient and row.ibd_index_hospitalization == 1:\n",
    "        if row.los > 6 or row.intestinal_surgery == 1:\n",
    "            final_cohort_file.at[row_num, 'severe_ibd_hospitalization'] = 1\n",
    "        total_admits.update({final_cohort_file['nrd_visitlink'][len(final_cohort_file)-2]:counter})\n",
    "        total_charges.update({final_cohort_file['nrd_visitlink'][len(final_cohort_file)-2]:tot_chrg})\n",
    "        total_los.update({final_cohort_file['nrd_visitlink'][len(final_cohort_file)-2]:tot_los})\n",
    "        tot_chrg = 0\n",
    "        tot_chrg += row.totchg\n",
    "        tot_los = 0\n",
    "        tot_los += row.los\n",
    "        total_charges.update({last_patient:tot_chrg})\n",
    "        total_admits.update({last_patient:1})\n",
    "        total_los.update({last_patient:tot_los})\n",
    "    # If the current and previous nrd_visitlink are not the same and it is the patient's index hospitalization, then check if the length of stay is over 6 days or if they had\n",
    "    # surgery during this visit. If either is true, then add a 1 to severe_ibd_hospitalization and set after_index to 'yes'.\n",
    "    elif id_current != id_placeholder and row.ibd_index_hospitalization == 1:\n",
    "        if row.los > 6 or row.intestinal_surgery == 1:\n",
    "            final_cohort_file.at[row_num, 'severe_ibd_hospitalization'] = 1\n",
    "        # Update the total_admits dictionary with the previous patient id and their counter.\n",
    "        total_admits.update({id_placeholder:counter})\n",
    "        # Update the total_charges dictionary with the previous patient id and their total charges.\n",
    "        total_charges.update({id_placeholder:tot_chrg})\n",
    "        # Update the total_los dictionary with the previous patient id and their total length of stay.\n",
    "        total_los.update({id_placeholder:tot_los})\n",
    "        # Update the nrd_visitlink to the current one.\n",
    "        id_placeholder = id_current\n",
    "        # Reset total charges and then start adding because this is the index hospitalization.\n",
    "        tot_chrg = 0\n",
    "        tot_chrg += row.totchg\n",
    "        # Reset total length of stay and then start adding because this is the index hospitalization.\n",
    "        tot_los = 0\n",
    "        tot_los += row.los\n",
    "        # Set counter to 1.\n",
    "        counter = 1\n",
    "        after_index = 'yes'\n",
    "    # If the current and previous nrd_visitlink are not the same and it is not the patient's index hospitalization, then set after_index to 'no'.\n",
    "    elif id_current != id_placeholder and row.ibd_index_hospitalization == 0:\n",
    "        id_placeholder = id_current\n",
    "        total_admits.update({id_placeholder:counter})\n",
    "        total_charges.update({id_placeholder:tot_chrg})\n",
    "        total_los.update({id_placeholder:tot_los})\n",
    "        id_previous = id_placeholder\n",
    "        tot_chrg = 0\n",
    "        tot_los = 0\n",
    "        counter = 1\n",
    "        after_index = 'no'\n",
    "    # If the current and previous nrd_visitlink are the same and it is not the patient's index hospitalization, then set after_index to 'no'.\n",
    "    elif id_current == id_placeholder and row.ibd_index_hospitalization == 0 and after_index == 'no':\n",
    "        id_placeholder = id_current\n",
    "        tot_chrg = 0\n",
    "        tot_los = 0\n",
    "        counter = 1\n",
    "        after_index = 'no'\n",
    "    # If the current and previous nrd_visitlink are the same and it is not the patient's index hospitalization but it is after the index hospitalization, then check if the length of\n",
    "    # stay is over 6 days or if they had surgery during this visit. If either is true, then add a 1 to severe_ibd_hospitalization and set after_index to 'yes'.\n",
    "    elif id_current == id_placeholder and row.ibd_index_hospitalization == 0 and after_index == 'yes':\n",
    "        if row.los > 6 or row.intestinal_surgery == 1:\n",
    "            final_cohort_file.at[row_num, 'severe_ibd_hospitalization'] = 1\n",
    "        id_placeholder = id_current\n",
    "        # We are after the index now so we need to start adding up the total charges.\n",
    "        tot_chrg += row.totchg\n",
    "        # We are after the index now so we need to start adding up the total length of stay.\n",
    "        tot_los += row.los\n",
    "        # We are after the index now so we need to start incrementing the counter.\n",
    "        counter += 1\n",
    "        after_index = 'yes'\n",
    "    # If the current and previous nrd_visitlink are the same and it is the patient's index hospitalization, then check if the length of stay is over 6 days or if they had surgery\n",
    "    # during this visit. If either is true, then add a 1 to severe_ibd_hospitalization and set after_index to 'yes'.\n",
    "    elif id_current == id_placeholder and row.ibd_index_hospitalization == 1:\n",
    "        if row.los > 6 or row.intestinal_surgery == 1:\n",
    "            final_cohort_file.at[row_num, 'severe_ibd_hospitalization'] = 1\n",
    "        id_placeholder = id_current\n",
    "        # Reached the index so now we start summing the total charges.\n",
    "        tot_chrg += row.totchg\n",
    "        # Reached the index so now we start summing the total length of stay.\n",
    "        tot_los += row.los\n",
    "        counter = 1\n",
    "        after_index = 'yes'\n",
    "    row_num += 1\n",
    "\n",
    "# Map the patients totals for each new column based on their nrd_visitlink.\n",
    "final_cohort_file['tot_admits_for_pt'] = final_cohort_file[\"nrd_visitlink\"].map(total_admits)\n",
    "final_cohort_file['tot_hosp_charges_for_pt'] = final_cohort_file[\"nrd_visitlink\"].map(total_charges)\n",
    "final_cohort_file['tot_los_pt'] = final_cohort_file[\"nrd_visitlink\"].map(total_los)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## cd_patients_only  <a class=\"anchor\" id=\"cduc\"></a>\n",
    "### - use ICD-10 code to flag Crohns patients only\n",
    "<br></br>\n",
    "## uc_patients_only\n",
    "### - use ICD-10 code to flag Ulcerative Colitis patients only\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:05, 16428.51it/s]\n"
     ]
    }
   ],
   "source": [
    "# Create a list to hold all of the positions, counter and row_num will hold column and row values respectively.\n",
    "diagnoses = []\n",
    "counter = 0\n",
    "row_num = 0\n",
    "\n",
    "# This dictionary holds the fill in values for any blanks or NaN's in the data for the columns beginning with 'i10_dx'.\n",
    "# If there is no discharge diagnosis, it will be filled in with a value of '' so we can iterate through the rows without any errors below for NaN's.\n",
    "fill_values = {}\n",
    "\n",
    "# Looping through to get the column position for every column beginning with 'i10_dx'\n",
    "for column in final_cohort_file.columns:\n",
    "    if 'i10_dx' in column:\n",
    "        diagnoses.append(counter)\n",
    "        fill_values.update({column: ''})\n",
    "    counter += 1\n",
    "\n",
    "# Fill the i10_dx column NaN values with ''.\n",
    "final_cohort_file = final_cohort_file.fillna(value = fill_values)\n",
    "\n",
    "# Initialize the two new columns we want to populate with values.\n",
    "final_cohort_file['cd_patients_only'] = 0\n",
    "final_cohort_file['uc_patients_only'] = 0\n",
    "\n",
    "# Go through the dataframe and add a 1 to either column if it is the patients index hospitalization and they have either chron's disease or ulcerative colitis.\n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    for column in diagnoses:\n",
    "        if row.ibd_index_hospitalization == 1 and 'K50' in row[column]:\n",
    "            final_cohort_file.at[row_num, 'cd_patients_only'] = 1\n",
    "        if row.ibd_index_hospitalization == 1 and 'K51' in row[column]:\n",
    "            final_cohort_file.at[row_num, 'uc_patients_only'] = 1\n",
    "    row_num += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## readm_thirty_days <a class=\"anchor\" id=\"readmit\"></a>\n",
    "### - calculate whether the hospitalization is a 30-day readmission - IMPORTANT, the same patient can have MULTIPLE 30-day readmissions. remember to account for the los (length of stay) of the hospitalization to calculate 30-day intervals between hospitalizations\n",
    "<br></br>\n",
    "## readm_ninety_days\n",
    "### - calculate whether the hospitalization is a 90-day readmission - IMPORTANT, the same patient can have MULTIPLE 90-day readmissions. remember to account for the los (length of stay) of the hospitalization to calculate 90-day intervals between hospitalizations\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:05, 15375.48it/s]\n"
     ]
    }
   ],
   "source": [
    "# Create placeholders to hold starting values and then the previous rows values for each iteration.\n",
    "los_placeholder = 0\n",
    "days_placeholder = final_cohort_file['nrd_daystoevent'][0]\n",
    "id_placeholder = final_cohort_file['nrd_visitlink'][0]\n",
    "first_patient = final_cohort_file['nrd_visitlink'][0]\n",
    "after_index = 'no'\n",
    "\n",
    "# Keep track of what row we are on.\n",
    "row_num = 0\n",
    "\n",
    "# Initialize 'readm_thirty_days' and 'readm_ninety_days' columns with 0.\n",
    "final_cohort_file['readm_thirty_days'] = 0\n",
    "final_cohort_file['readm_ninety_days'] = 0\n",
    "\n",
    "# This loop goes through each row and compares the nrd_visitlink with that of the previous row. \n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    # Set the current values.\n",
    "    id_current = row.nrd_visitlink\n",
    "    los_current = row.los\n",
    "    days_current = row.nrd_daystoevent\n",
    "    # If the current nrd_visitlink is the same as the first patient in the dataframe, set readmissions to 0 since it's the first hospitalization. Update placeholders.\n",
    "    if id_current == first_patient:\n",
    "        final_cohort_file.at[row_num, 'readm_thirty_days'] = 0\n",
    "        final_cohort_file.at[row_num, 'readm_ninety_days'] = 0\n",
    "        id_placeholder = id_current\n",
    "        los_placeholder = los_current\n",
    "        days_placeholder = days_current\n",
    "        if row.ibd_index_hospitalization == 1:\n",
    "            after_index = 'yes'\n",
    "        elif row.ibd_index_hospitalization == 0:\n",
    "            after_index = 'no'\n",
    "    # If the current and previous nrd_visitlink are not the same and it is not the index hospitalization, set readmissions to 0 since it's a new patient and before their index\n",
    "    # hospitalization. Update placeholders.\n",
    "    elif id_current != id_placeholder and row.ibd_index_hospitalization == 0:\n",
    "        final_cohort_file.at[row_num, 'readm_thirty_days'] = 0\n",
    "        final_cohort_file.at[row_num, 'readm_ninety_days'] = 0\n",
    "        id_placeholder = id_current\n",
    "        los_placeholder = los_current\n",
    "        days_placeholder = days_current\n",
    "        after_index = 'no'\n",
    "    # If the current and previous nrd_visitlink are not the same and it is the index hospitalization, set readmissions to 0 since it's a new patient and their index hospitalization.\n",
    "    # Update placeholders.\n",
    "    elif id_current != id_placeholder and row.ibd_index_hospitalization == 1:\n",
    "        final_cohort_file.at[row_num, 'readm_thirty_days'] = 0\n",
    "        final_cohort_file.at[row_num, 'readm_ninety_days'] = 0\n",
    "        id_placeholder = id_current\n",
    "        los_placeholder = los_current\n",
    "        days_placeholder = days_current\n",
    "        after_index = 'yes'\n",
    "    # If the current and previous nrd_visitlink are the same and it is after the index hospitalization, then calculate if the readmission is <= 30 days or <= 90 days and set\n",
    "    # appropriate column(s) to 1. Update placeholders.\n",
    "    elif id_current == id_placeholder and row.ibd_index_hospitalization == 0 and after_index == 'yes':\n",
    "        if (days_current - days_placeholder - los_placeholder) <= 30:\n",
    "            final_cohort_file.at[row_num, 'readm_thirty_days'] = 1\n",
    "        if (days_current - days_placeholder - los_placeholder) <= 90:\n",
    "            final_cohort_file.at[row_num, 'readm_ninety_days'] = 1\n",
    "        id_placeholder = id_current\n",
    "        los_placeholder = los_current\n",
    "        days_placeholder = days_current\n",
    "        after_index == 'yes'\n",
    "    # If the current and previous nrd_visitlink are the same and it is not after the index hospitalization, set readmissions to 0 since it is prior to their index hospitalization.\n",
    "    # Update placeholders.\n",
    "    elif id_current == id_placeholder and row.ibd_index_hospitalization == 0 and after_index == 'no':\n",
    "        final_cohort_file.at[row_num, 'readm_thirty_days'] = 0\n",
    "        final_cohort_file.at[row_num, 'readm_ninety_days'] = 0\n",
    "        id_placeholder = id_current\n",
    "        los_placeholder = los_current\n",
    "        days_placeholder = days_current\n",
    "        after_index == 'no'\n",
    "    # If the current and previous nrd_visitlink are the same and it is the index hospitalization, set readmissions to 0 since it is the index hospitalization. Update placeholders.\n",
    "    elif id_current == id_placeholder and row.ibd_index_hospitalization == 1:\n",
    "        final_cohort_file.at[row_num, 'readm_thirty_days'] = 0\n",
    "        final_cohort_file.at[row_num, 'readm_ninety_days'] = 0\n",
    "        id_placeholder = id_current\n",
    "        los_placeholder = los_current\n",
    "        days_placeholder = days_current\n",
    "        after_index = 'yes'\n",
    "    row_num += 1\n",
    "\n",
    "# Use pivot_table with aggregate function 'sum' to essentially group by the nrd_visitlinks and sum the total number of 30 day readmissions and 90 day readmissions for each patient.\n",
    "pivot_df_30 = final_cohort_file.pivot_table(index='nrd_visitlink', values='readm_thirty_days', aggfunc='sum').reset_index()\n",
    "pivot_df_90 = final_cohort_file.pivot_table(index='nrd_visitlink', values='readm_ninety_days', aggfunc='sum').reset_index()\n",
    "\n",
    "# Since the pivot table only has unique patient nrd_visitlink's and totals per patient, create a dictionary to store each patient and their total number of readmissions.\n",
    "patient_totals_30 = {}\n",
    "for row in pivot_df_30.itertuples(index=False):\n",
    "    patient_totals_30.update({row.nrd_visitlink: row[1]})\n",
    "\n",
    "patient_totals_90 = {}\n",
    "for row in pivot_df_90.itertuples(index=False):\n",
    "    patient_totals_90.update({row.nrd_visitlink: row[1]})\n",
    "\n",
    "# We want to create new columns to flag any patients who had at least one 30 day or one 90 day readmission. We will create new dictionaries and map them.\n",
    "# Initialize dictionaries to hold all nrd_visitlinks where there were 30 and 90 day readmissions.\n",
    "has_thirty_readm = {}\n",
    "has_ninety_readm = {}\n",
    "\n",
    "# Go through the dictionary and create a new dictionary with the nrd_visitlinks of patients who had 1 or more 30 day readmissions.\n",
    "for key, value in patient_totals_30.items():\n",
    "    if value >= 1:\n",
    "        has_thirty_readm.update({key:1})\n",
    "\n",
    "# Go through the dictionary and create a new dictionary with the nrd_visitlinks of patients who had 1 or more 90 day readmissions.\n",
    "for key, value in patient_totals_90.items():\n",
    "    if value >= 1:\n",
    "        has_ninety_readm.update({key:1})\n",
    "\n",
    "# Create a new column called has_##_day_readm by mapping the nrd_visitlinks values from the dicionary has_##_readm. Fill NA's with 0.\n",
    "final_cohort_file['has_30_day_readm'] = final_cohort_file['nrd_visitlink'].map(has_thirty_readm).fillna(0)\n",
    "final_cohort_file['has_90_day_readm'] = final_cohort_file['nrd_visitlink'].map(has_ninety_readm).fillna(0)\n",
    "\n",
    "# Create a new column called total_column_name by mapping the nrd_visitlinks values from the dicionary patient_totals.\n",
    "final_cohort_file['total_30_day_readm'] = final_cohort_file['nrd_visitlink'].map(patient_totals_30)\n",
    "final_cohort_file['total_90_day_readm'] = final_cohort_file['nrd_visitlink'].map(patient_totals_90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## tot_proc_for_pt <a class=\"anchor\" id=\"procsurg\"></a>\n",
    "### - total number of procedures for a given patient (including the index hospitalization)\n",
    "<br></br>\n",
    "## total_surg_for_pt\n",
    "### - total number of surgeries for a given patient (including the index hospitalization)\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:05, 15144.53it/s]\n"
     ]
    }
   ],
   "source": [
    "# Keep track of the row we are on, keep a total for procedures a patient has, create new columns.\n",
    "row_num = 0\n",
    "total = 0\n",
    "final_cohort_file['tot_proc_for_pt'] = 0\n",
    "final_cohort_file['total_surg_for_pt'] = 0\n",
    "\n",
    "# Iterate through the dataframe.\n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    # Reset the total at the start of each iteration.\n",
    "    total = 0\n",
    "    # Sum up the values for procedures in the columns for each visit and put that total in the new column.\n",
    "    total = row.total_flexible_sigmoidoscopy_colonoscopy_admissions + row.total_blood_transfusion_admissions + row.total_parenteral_or_enteral_nutrition_admissions\n",
    "    final_cohort_file.at[row_num, 'tot_proc_for_pt'] = total\n",
    "    # We already calculated this before so we are just carrying over the same value to a new column.\n",
    "    final_cohort_file.at[row_num, 'total_surg_for_pt'] = row.total_intestinal_surgery_admissions\n",
    "    row_num += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## mental_health_opiate_for_pt <a class=\"anchor\" id=\"mentalhealth\"></a>\n",
    "### - flag patients at index hospitalization as the following: 0 = no opiate dependence OR psychiatric burden, 1 = psychiatric burden WITHOUT opiate dependence, 2 = psychiatric burden WITH opiate dependence. Group depression, anxiety, and bipolar together as psychiatric burden and opiate overuse as opiate dependence\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:04, 17606.69it/s]\n"
     ]
    }
   ],
   "source": [
    "# Keep track of what row we are on.\n",
    "row_num = 0\n",
    "\n",
    "# Create and initialize the mental_health_opiate_for_pt with 0.\n",
    "final_cohort_file['mental_health_opiate_for_pt'] = 0\n",
    "\n",
    "# Iterate through the dataframe.\n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    # If it is the index hospitalization and the patient has no opioid use or psychiatic burden, label mental_health_opiate_for_pt with a 0.\n",
    "    if row.ibd_index_hospitalization == 1 and row.opioid_overuse_during_followup == 0 and row.psychiatric_burden_during_followup == 0:\n",
    "        final_cohort_file.at[row_num, 'mental_health_opiate_for_pt'] = 0\n",
    "    # If it is the index hospitalization and the patient has no opioid use but does have psychiatic burden, label mental_health_opiate_for_pt with a 1.\n",
    "    elif row.ibd_index_hospitalization == 1 and row.opioid_overuse_during_followup == 0 and row.psychiatric_burden_during_followup == 1:\n",
    "        final_cohort_file.at[row_num, 'mental_health_opiate_for_pt'] = 1\n",
    "    # If it is the index hospitalization and the patient has opioid use and psychiatic burden, label mental_health_opiate_for_pt with a 2.\n",
    "    elif row.ibd_index_hospitalization == 1 and row.opioid_overuse_during_followup == 1 and row.psychiatric_burden_during_followup == 1:\n",
    "        final_cohort_file.at[row_num, 'mental_health_opiate_for_pt'] = 2\n",
    "    row_num += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## readm_during_fu <a class=\"anchor\" id=\"readmitfu\"></a>\n",
    "### - calculate whether the patient was hospitalized during follow-up\n",
    "<br></br>\n",
    "## days_to_first_readm_during_fu\n",
    "### - number of days from index hospitalization to follow up (less length of stay)\n",
    "<br></br>\n",
    "## alive_fu_time\n",
    "### - total follow-up time for a given patient starting from index hospitalization and ending when they die or a full year if no death\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:04, 17695.34it/s]\n"
     ]
    }
   ],
   "source": [
    "# Fill the died column NaN values with 0.\n",
    "final_cohort_file = final_cohort_file.fillna(value = {'died':0})\n",
    "\n",
    "# Create placeholders to hold starting values and then the previous rows values for each iteration.\n",
    "id_placeholder = final_cohort_file['nrd_visitlink'][0]\n",
    "first_patient = final_cohort_file['nrd_visitlink'][0]\n",
    "days_placeholder = 0\n",
    "los_placeholder = 0\n",
    "\n",
    "# These two variables are controls for whether a certain statment is executed or not.\n",
    "after_index = 'no'\n",
    "index_month = 0\n",
    "\n",
    "# Keep track of what row we are on.\n",
    "row_num = 0\n",
    "\n",
    "# Mapping dictionary to map the follow up time and alive follow up time.\n",
    "fu_map = {}\n",
    "died_map = {}\n",
    "\n",
    "# Initialize 'readm_during_fu' with 0.\n",
    "final_cohort_file['readm_during_fu'] = 0\n",
    "\n",
    "# This loop goes through each row and compares the nrd_visitlink with that of the previous row. \n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    # Set the current values.\n",
    "    id_current = row.nrd_visitlink\n",
    "    # If the current nrd_visitlink is the same as the first patient in the dataframe, update placeholder.\n",
    "    if id_current == first_patient:\n",
    "        id_placeholder = id_current\n",
    "        # If index hospitalization, then update placeholders.\n",
    "        if row.ibd_index_hospitalization == 1:\n",
    "            days_placeholder = row.nrd_daystoevent\n",
    "            los_placeholder = row.los\n",
    "            index_month = row.dmonth\n",
    "            after_index = 'yes'\n",
    "            first_fu = 1\n",
    "        # If not the index hospitalization, don't do anything for this particular loop since it only affects the first patient.\n",
    "        elif row.ibd_index_hospitalization == 0:\n",
    "            after_index = 'no'\n",
    "    # If the current and previous nrd_visitlink are not the same and it is not the index hospitalization, update placeholder.\n",
    "    elif id_current != id_placeholder and row.ibd_index_hospitalization == 0:\n",
    "        id_placeholder = id_current\n",
    "        after_index = 'no'\n",
    "    # If the current and previous nrd_visitlink are not the same and it is the index hospitalization, update all placeholders. Set first_fu to 1.\n",
    "    elif id_current != id_placeholder and row.ibd_index_hospitalization == 1:\n",
    "        id_placeholder = id_current\n",
    "        days_placeholder = row.nrd_daystoevent\n",
    "        los_placeholder = row.los\n",
    "        index_month = row.dmonth\n",
    "        after_index = 'yes'\n",
    "        first_fu = 1\n",
    "    # If the current and previous nrd_visitlink are the same and it is after the index hospitalization, add a 1 to the readm_during_fu column. If first_fu is set to 1, then calculate\n",
    "    # the total days until the first follow up occurred and store it in the mapping dictionary with the nrd_visitlink for that patient. For all other hospitalizations that are follow\n",
    "    # up, only a 1 will be added to the readm_during_fu column since first_fu will be 0. We only want the days to the first follow up hospitalization.\n",
    "    elif id_current == id_placeholder and row.ibd_index_hospitalization == 0 and after_index == 'yes':\n",
    "        final_cohort_file.at[row_num, 'readm_during_fu'] = 1\n",
    "        if first_fu == 1:\n",
    "            total_days = row.nrd_daystoevent - days_placeholder - los_placeholder\n",
    "            fu_map.update({id_placeholder:total_days})\n",
    "            first_fu = 0\n",
    "        if row.died == 1:\n",
    "            fu_died = (row.dmonth - index_month) * 30\n",
    "            died_map.update({id_placeholder:fu_died})\n",
    "        id_placeholder = id_current\n",
    "        after_index == 'yes'\n",
    "    # If the current and previous nrd_visitlink are the same and it is not after the index hospitalization, update placeholder.\n",
    "    elif id_current == id_placeholder and row.ibd_index_hospitalization == 0 and after_index == 'no':\n",
    "        id_placeholder = id_current\n",
    "        after_index == 'no'\n",
    "    # If the current and previous nrd_visitlink are the same and it is the index hospitalization, update all placeholders. Set first_fu to 1.\n",
    "    elif id_current == id_placeholder and row.ibd_index_hospitalization == 1:\n",
    "        id_placeholder = id_current\n",
    "        days_placeholder = row.nrd_daystoevent\n",
    "        los_placeholder = row.los\n",
    "        index_month = row.dmonth\n",
    "        after_index = 'yes'\n",
    "        first_fu = 1\n",
    "    row_num += 1\n",
    "\n",
    "# Map the dictionary to the new column.\n",
    "final_cohort_file['days_to_first_readm_during_fu'] = final_cohort_file['nrd_visitlink'].map(fu_map)\n",
    "final_cohort_file['alive_fu_time'] = final_cohort_file['nrd_visitlink'].map(died_map)\n",
    "\n",
    "# Fill the blanks in 'alive_fu_time' with 360 (12 months * 30 days per month so a full calendar year). The blanks mean the patient did not die.\n",
    "final_cohort_file = final_cohort_file.fillna(value={'alive_fu_time':360})\n",
    "\n",
    "# If necessary, this next line of code will fill in any NaN's in days_to_first_readm_during_fu with 0.\n",
    "# final_cohort_file = final_cohort_file.fillna(value={'days_to_first_readm_during_fu':0})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## tot_los_per_alive_fu_pt <a class=\"anchor\" id=\"totlos\"></a>\n",
    "### - we need this field to identify HNHC patients. (tot_los_pt) / (alive_fu_time)\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:05, 16081.49it/s]\n",
      "Total number of patients who died in the same month during follow up: 58\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Initialize new column with a float.\n",
    "final_cohort_file['tot_los_per_alive_fu_pt'] = 0.00000000\n",
    "\n",
    "# Keep track of rows and keep a list of patients who died in the same month during follow up.\n",
    "row_num = 0\n",
    "counter = []\n",
    "\n",
    "# Iterate through all the rows in the dataframe.\n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    # If alive_fu_time is 0, we can't divide by 0 so add the patient to the list.\n",
    "    if row.alive_fu_time == 0:\n",
    "        counter.append(row.nrd_visitlink)\n",
    "    # As long as we can divide by alive_fu_time, calculate the total length of stay per follow up alive time.\n",
    "    elif row.alive_fu_time > 0:\n",
    "        # Use the commented out code if rounding is needed to 8 decimal places.\n",
    "        # round((row.tot_los_pt / row.alive_fu_time), 8)\n",
    "        calculated_value = row.tot_los_pt / row.alive_fu_time\n",
    "        final_cohort_file.at[row_num, 'tot_los_per_alive_fu_pt'] = calculated_value\n",
    "    row_num += 1\n",
    "\n",
    "# Print out the number of patients who died in the same month during follow up.\n",
    "print(f'\\nTotal number of patients who died in the same month during follow up: {len(np.unique(counter))}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## deciles_tot_los_per_alive_fu_pt <a class=\"anchor\" id=\"deciles\"></a>\n",
    "### - create deciles for variable, tot_los_per_alive_fu_pt\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating deciles by length of follow-up normalized by number of hospitalizations.\n",
    "final_cohort_file['deciles_tot_los_per_alive_fu_pt'] = pd.qcut(final_cohort_file['tot_los_per_alive_fu_pt'], 10, labels=np.arange(10, 0, -1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## hnhc <a class=\"anchor\" id=\"hnhc\"></a>\n",
    "### - identify patient in the TOP decile of deciles_tot_los_per_alive_fu_pt. in Python, this is the top group (group 1)\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate a new variable to identify high-need, high-cost patients\n",
    "\n",
    "# This function returns a 1 if the patient is a high need high cost patient, otherwise a 0.\n",
    "def topDecile(series):\n",
    "    if series == 1:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "        \n",
    "final_cohort_file['hnhc_patients'] = final_cohort_file['deciles_tot_los_per_alive_fu_pt'].apply(topDecile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "\n",
       "82399                  0                                0   \n",
       "82400                  1                                0   \n",
       "82401                  0                                0   \n",
       "\n",
       "       serious_infections_during_followup  total_serious_infection_admissions  \\\n",
       "0                                       0                                   0   \n",
       "1                                       0                                   0   \n",
       "2                                       0                                   0   \n",
       "3                                       0                                   0   \n",
       "4                                       0                                   0   \n",
       "...                                   ...                                 ...   \n",
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       "82400                                   0                                   0   \n",
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       "\n",
       "       opportunistic_infections_during_followup  \\\n",
       "0                                             0   \n",
       "1                                             0   \n",
       "2                                             0   \n",
       "3                                             0   \n",
       "4                                             0   \n",
       "...                                         ...   \n",
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       "82398                                         0   \n",
       "82399                                         0   \n",
       "82400                                         0   \n",
       "82401                                         0   \n",
       "\n",
       "       total_opportunistic_infection_admissions  cardiac_during_followup  \\\n",
       "0                                             0                        0   \n",
       "1                                             0                        0   \n",
       "2                                             0                        0   \n",
       "3                                             0                        0   \n",
       "4                                             0                        0   \n",
       "...                                         ...                      ...   \n",
       "82397                                         0                        0   \n",
       "82398                                         0                        0   \n",
       "82399                                         0                        0   \n",
       "82400                                         0                        0   \n",
       "82401                                         0                        0   \n",
       "\n",
       "       total_cardiac_admissions  venous_thromboembolism_during_followup  \\\n",
       "0                             0                                       0   \n",
       "1                             0                                       0   \n",
       "2                             0                                       0   \n",
       "3                             0                                       0   \n",
       "4                             0                                       0   \n",
       "...                         ...                                     ...   \n",
       "82397                         0                                       0   \n",
       "82398                         0                                       0   \n",
       "82399                         0                                       0   \n",
       "82400                         0                                       0   \n",
       "82401                         0                                       0   \n",
       "\n",
       "       total_venous_thromboembolism_admissions  steroid_use_during_followup  \\\n",
       "0                                            0                            0   \n",
       "1                                            0                            0   \n",
       "2                                            0                            0   \n",
       "3                                            0                            0   \n",
       "4                                            0                            0   \n",
       "...                                        ...                          ...   \n",
       "82397                                        0                            0   \n",
       "82398                                        0                            0   \n",
       "82399                                        0                            0   \n",
       "82400                                        0                            0   \n",
       "82401                                        0                            0   \n",
       "\n",
       "       total_steroid_use_admissions  chronic_pain_during_followup  \\\n",
       "0                                 0                             0   \n",
       "1                                 0                             0   \n",
       "2                                 0                             0   \n",
       "3                                 0                             0   \n",
       "4                                 0                             0   \n",
       "...                             ...                           ...   \n",
       "82397                             0                             0   \n",
       "82398                             0                             0   \n",
       "82399                             0                             0   \n",
       "82400                             0                             0   \n",
       "82401                             0                             0   \n",
       "\n",
       "       total_chronic_pain_admissions  opioid_overuse_during_followup  \\\n",
       "0                                  0                               0   \n",
       "1                                  0                               0   \n",
       "2                                  0                               0   \n",
       "3                                  0                               0   \n",
       "4                                  0                               0   \n",
       "...                              ...                             ...   \n",
       "82397                              0                               0   \n",
       "82398                              0                               0   \n",
       "82399                              0                               0   \n",
       "82400                              0                               0   \n",
       "82401                              0                               0   \n",
       "\n",
       "       total_opioid_overuse_admissions  psychiatric_burden_during_followup  \\\n",
       "0                                    0                                   0   \n",
       "1                                    0                                   1   \n",
       "2                                    0                                   0   \n",
       "3                                    0                                   1   \n",
       "4                                    0                                   1   \n",
       "...                                ...                                 ...   \n",
       "82397                                0                                   0   \n",
       "82398                                0                                   0   \n",
       "82399                                0                                   0   \n",
       "82400                                0                                   0   \n",
       "82401                                0                                   1   \n",
       "\n",
       "       total_psychiatric_burden_admissions  \\\n",
       "0                                        0   \n",
       "1                                        1   \n",
       "2                                        0   \n",
       "3                                        2   \n",
       "4                                        2   \n",
       "...                                    ...   \n",
       "82397                                    0   \n",
       "82398                                    0   \n",
       "82399                                    0   \n",
       "82400                                    1   \n",
       "82401                                    1   \n",
       "\n",
       "       social_determinants_of_health_during_followup  \\\n",
       "0                                                  0   \n",
       "1                                                  0   \n",
       "2                                                  0   \n",
       "3                                                  0   \n",
       "4                                                  0   \n",
       "...                                              ...   \n",
       "82397                                              0   \n",
       "82398                                              0   \n",
       "82399                                              0   \n",
       "82400                                              0   \n",
       "82401                                              0   \n",
       "\n",
       "       total_social_determinants_of_health_admissions  \\\n",
       "0                                                   0   \n",
       "1                                                   0   \n",
       "2                                                   0   \n",
       "3                                                   0   \n",
       "4                                                   0   \n",
       "...                                               ...   \n",
       "82397                                               0   \n",
       "82398                                               0   \n",
       "82399                                               0   \n",
       "82400                                               0   \n",
       "82401                                               0   \n",
       "\n",
       "       intestinal_surgery_during_followup  \\\n",
       "0                                       0   \n",
       "1                                       0   \n",
       "2                                       0   \n",
       "3                                       0   \n",
       "4                                       0   \n",
       "...                                   ...   \n",
       "82397                                   0   \n",
       "82398                                   0   \n",
       "82399                                   0   \n",
       "82400                                   0   \n",
       "82401                                   0   \n",
       "\n",
       "       total_intestinal_surgery_admissions  \\\n",
       "0                                        0   \n",
       "1                                        0   \n",
       "2                                        0   \n",
       "3                                        0   \n",
       "4                                        0   \n",
       "...                                    ...   \n",
       "82397                                    0   \n",
       "82398                                    0   \n",
       "82399                                    0   \n",
       "82400                                    0   \n",
       "82401                                    0   \n",
       "\n",
       "       flexible_sigmoidoscopy_colonoscopy_during_followup  \\\n",
       "0                                                      0    \n",
       "1                                                      0    \n",
       "2                                                      0    \n",
       "3                                                      0    \n",
       "4                                                      0    \n",
       "...                                                  ...    \n",
       "82397                                                  0    \n",
       "82398                                                  1    \n",
       "82399                                                  0    \n",
       "82400                                                  1    \n",
       "82401                                                  0    \n",
       "\n",
       "       total_flexible_sigmoidoscopy_colonoscopy_admissions  \\\n",
       "0                                                      0     \n",
       "1                                                      0     \n",
       "2                                                      0     \n",
       "3                                                      0     \n",
       "4                                                      0     \n",
       "...                                                  ...     \n",
       "82397                                                  1     \n",
       "82398                                                  1     \n",
       "82399                                                  1     \n",
       "82400                                                  1     \n",
       "82401                                                  1     \n",
       "\n",
       "       blood_transfusion_during_followup  total_blood_transfusion_admissions  \\\n",
       "0                                      0                                   0   \n",
       "1                                      0                                   0   \n",
       "2                                      0                                   0   \n",
       "3                                      0                                   0   \n",
       "4                                      0                                   0   \n",
       "...                                  ...                                 ...   \n",
       "82397                                  0                                   0   \n",
       "82398                                  0                                   0   \n",
       "82399                                  0                                   0   \n",
       "82400                                  1                                   1   \n",
       "82401                                  0                                   1   \n",
       "\n",
       "       parenteral_or_enteral_nutrition_during_followup  \\\n",
       "0                                                    0   \n",
       "1                                                    0   \n",
       "2                                                    0   \n",
       "3                                                    0   \n",
       "4                                                    0   \n",
       "...                                                ...   \n",
       "82397                                                0   \n",
       "82398                                                0   \n",
       "82399                                                0   \n",
       "82400                                                0   \n",
       "82401                                                0   \n",
       "\n",
       "       total_parenteral_or_enteral_nutrition_admissions  \\\n",
       "0                                                     0   \n",
       "1                                                     0   \n",
       "2                                                     0   \n",
       "3                                                     0   \n",
       "4                                                     0   \n",
       "...                                                 ...   \n",
       "82397                                                 0   \n",
       "82398                                                 0   \n",
       "82399                                                 0   \n",
       "82400                                                 0   \n",
       "82401                                                 0   \n",
       "\n",
       "       severe_ibd_hospitalization  tot_admits_for_pt  tot_hosp_charges_for_pt  \\\n",
       "0                               0                1.0                  43848.0   \n",
       "1                               0                1.0                  11700.0   \n",
       "2                               0                1.0                  38599.0   \n",
       "3                               0                2.0                 131215.0   \n",
       "4                               0                2.0                 131215.0   \n",
       "...                           ...                ...                      ...   \n",
       "82397                           0                NaN                      NaN   \n",
       "82398                           1                NaN                      NaN   \n",
       "82399                           0                NaN                      NaN   \n",
       "82400                           0                6.0                  35391.0   \n",
       "82401                           0                6.0                  35391.0   \n",
       "\n",
       "       tot_los_pt  cd_patients_only  uc_patients_only  readm_thirty_days  \\\n",
       "0             1.0                 0                 1                  0   \n",
       "1             3.0                 1                 0                  0   \n",
       "2             2.0                 1                 0                  0   \n",
       "3             9.0                 1                 0                  0   \n",
       "4             9.0                 0                 0                  0   \n",
       "...           ...               ...               ...                ...   \n",
       "82397         NaN                 0                 0                  0   \n",
       "82398         NaN                 0                 0                  0   \n",
       "82399         NaN                 0                 0                  0   \n",
       "82400         3.0                 0                 1                  0   \n",
       "82401         3.0                 0                 0                  1   \n",
       "\n",
       "       readm_ninety_days  has_30_day_readm  has_90_day_readm  \\\n",
       "0                      0               0.0               0.0   \n",
       "1                      0               0.0               0.0   \n",
       "2                      0               0.0               0.0   \n",
       "3                      0               0.0               0.0   \n",
       "4                      0               0.0               0.0   \n",
       "...                  ...               ...               ...   \n",
       "82397                  1               1.0               1.0   \n",
       "82398                  1               1.0               1.0   \n",
       "82399                  1               1.0               1.0   \n",
       "82400                  0               1.0               1.0   \n",
       "82401                  1               1.0               1.0   \n",
       "\n",
       "       total_30_day_readm  total_90_day_readm  tot_proc_for_pt  \\\n",
       "0                       0                   0                0   \n",
       "1                       0                   0                0   \n",
       "2                       0                   0                0   \n",
       "3                       0                   0                0   \n",
       "4                       0                   0                0   \n",
       "...                   ...                 ...              ...   \n",
       "82397                   2                   5                1   \n",
       "82398                   2                   5                1   \n",
       "82399                   2                   5                1   \n",
       "82400                   1                   1                2   \n",
       "82401                   1                   1                2   \n",
       "\n",
       "       total_surg_for_pt  mental_health_opiate_for_pt  readm_during_fu  \\\n",
       "0                      0                            0                0   \n",
       "1                      0                            1                0   \n",
       "2                      0                            0                0   \n",
       "3                      0                            1                0   \n",
       "4                      0                            0                1   \n",
       "...                  ...                          ...              ...   \n",
       "82397                  0                            0                1   \n",
       "82398                  0                            0                1   \n",
       "82399                  0                            0                1   \n",
       "82400                  0                            0                0   \n",
       "82401                  0                            0                1   \n",
       "\n",
       "       days_to_first_readm_during_fu  alive_fu_time  tot_los_per_alive_fu_pt  \\\n",
       "0                                NaN          360.0                 0.002778   \n",
       "1                                NaN          360.0                 0.008333   \n",
       "2                                NaN          360.0                 0.005556   \n",
       "3                              284.0          360.0                 0.025000   \n",
       "4                              284.0          360.0                 0.025000   \n",
       "...                              ...            ...                      ...   \n",
       "82397                           20.0          360.0                      NaN   \n",
       "82398                           20.0          360.0                      NaN   \n",
       "82399                           20.0          360.0                      NaN   \n",
       "82400                           15.0          360.0                 0.008333   \n",
       "82401                           15.0          360.0                 0.008333   \n",
       "\n",
       "      deciles_tot_los_per_alive_fu_pt  hnhc_patients  \n",
       "0                                  10            0.0  \n",
       "1                                   9            0.0  \n",
       "2                                  10            0.0  \n",
       "3                                   7            0.0  \n",
       "4                                   7            0.0  \n",
       "...                               ...            ...  \n",
       "82397                             NaN            NaN  \n",
       "82398                             NaN            NaN  \n",
       "82399                             NaN            NaN  \n",
       "82400                               9            0.0  \n",
       "82401                               9            0.0  \n",
       "\n",
       "[82402 rows x 298 columns]"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>key_nrd</th>\n      <th>age</th>\n      <th>aweekend</th>\n      <th>died</th>\n      <th>discwt</th>\n      <th>dispuniform</th>\n      <th>dmonth</th>\n      <th>dqtr</th>\n      <th>drg</th>\n      <th>drgver</th>\n      <th>drg_nopoa</th>\n      <th>i10_dx1</th>\n      <th>i10_dx2</th>\n      <th>i10_dx3</th>\n      <th>i10_dx4</th>\n      <th>i10_dx5</th>\n      <th>i10_dx6</th>\n      <th>i10_dx7</th>\n      <th>i10_dx8</th>\n      <th>i10_dx9</th>\n      <th>i10_dx10</th>\n      <th>i10_dx11</th>\n      <th>i10_dx12</th>\n      <th>i10_dx13</th>\n      <th>i10_dx14</th>\n      <th>i10_dx15</th>\n      <th>i10_dx16</th>\n      <th>i10_dx17</th>\n      <th>i10_dx18</th>\n      <th>i10_dx19</th>\n      <th>i10_dx20</th>\n      <th>i10_dx21</th>\n      <th>i10_dx22</th>\n      <th>i10_dx23</th>\n      <th>i10_dx24</th>\n      <th>i10_dx25</th>\n      <th>i10_dx26</th>\n      <th>i10_dx27</th>\n      <th>i10_dx28</th>\n      <th>i10_dx29</th>\n      <th>i10_dx30</th>\n      <th>i10_dx31</th>\n      <th>i10_dx32</th>\n      <th>i10_dx33</th>\n      <th>i10_dx34</th>\n      <th>i10_dx35</th>\n      <th>i10_dx36</th>\n      <th>i10_dx37</th>\n      <th>i10_dx38</th>\n      <th>i10_dx39</th>\n      <th>i10_dx40</th>\n      <th>elective</th>\n      <th>female</th>\n      <th>hcup_ed</th>\n      <th>hosp_nrd_x</th>\n      <th>los</th>\n      <th>mdc</th>\n      <th>mdc_nopoa</th>\n      <th>i10_ndx</th>\n      <th>i10_npr</th>\n      <th>nrd_daystoevent</th>\n      <th>nrd_stratum_x</th>\n      <th>nrd_visitlink</th>\n      <th>pay1</th>\n      <th>pl_nchs</th>\n      <th>i10_pr1</th>\n      <th>i10_pr2</th>\n      <th>i10_pr3</th>\n      <th>i10_pr4</th>\n      <th>i10_pr5</th>\n      <th>i10_pr6</th>\n      <th>i10_pr7</th>\n      <th>i10_pr8</th>\n      <th>i10_pr9</th>\n      <th>i10_pr10</th>\n      <th>i10_pr11</th>\n      <th>i10_pr12</th>\n      <th>i10_pr13</th>\n      <th>i10_pr14</th>\n      <th>i10_pr15</th>\n      <th>i10_pr16</th>\n      <th>i10_pr17</th>\n      <th>i10_pr18</th>\n      <th>i10_pr19</th>\n      <th>i10_pr20</th>\n      <th>i10_pr21</th>\n      <th>i10_pr22</th>\n      <th>i10_pr23</th>\n      <th>i10_pr24</th>\n      <th>i10_pr25</th>\n      <th>prday1</th>\n      <th>prday2</th>\n      <th>prday3</th>\n      <th>prday4</th>\n      <th>prday5</th>\n      <th>prday6</th>\n      <th>prday7</th>\n      <th>prday8</th>\n      <th>prday9</th>\n      <th>prday10</th>\n      <th>prday11</th>\n      <th>prday12</th>\n      <th>prday13</th>\n      <th>prday14</th>\n      <th>prday15</th>\n      <th>prday16</th>\n      <th>prday17</th>\n      <th>prday18</th>\n      <th>prday19</th>\n      <th>prday20</th>\n      <th>prday21</th>\n      <th>prday22</th>\n      <th>prday23</th>\n      <th>prday24</th>\n      <th>prday25</th>\n      <th>rehabtransfer</th>\n      <th>resident</th>\n      <th>samedayevent</th>\n      <th>totchg</th>\n      <th>year_x</th>\n      <th>zipinc_qrtl</th>\n      <th>dxver</th>\n      <th>prver</th>\n      <th>hosp_bedsize</th>\n      <th>h_contrl</th>\n      <th>hosp_urcat4</th>\n      <th>hosp_ur_teach</th>\n      <th>nrd_stratum_y</th>\n      <th>n_disc_u</th>\n      <th>n_hosp_u</th>\n      <th>s_disc_u</th>\n      <th>s_hosp_u</th>\n      <th>total_disc</th>\n      <th>year_y</th>\n      <th>aprdrg</th>\n      <th>aprdrg_risk_mortality</th>\n      <th>aprdrg_severity</th>\n      <th>hosp_nrd_y</th>\n      <th>next_nrdday</th>\n      <th>days_to_readmission</th>\n      <th>readmission_diagnosis</th>\n      <th>readmission_los</th>\n      <th>preventable_admission</th>\n      <th>pqi_1</th>\n      <th>pqi_3</th>\n      <th>pqi_5</th>\n      <th>pqi_7</th>\n      <th>pqi_8</th>\n      <th>pqi_11</th>\n      <th>pqi_12</th>\n      <th>pqi_14</th>\n      <th>pqi_15</th>\n      <th>pqi_16</th>\n      <th>pqi_5_15_exclusion</th>\n      <th>pqi_7_medical_exclusions</th>\n      <th>pqi_7_procedural_exclusion</th>\n      <th>pqi_7_8_procedural_exclusion</th>\n      <th>pqi_11_exclusion</th>\n      <th>pqi_12_exclusion</th>\n      <th>pqi_immunocompromise_medical_exclusion</th>\n      <th>pqi_immunocompromise_procedural_exclusion</th>\n      <th>pqi_16_exclusion_procedure</th>\n      <th>pqi_16_amputation_procedure</th>\n      <th>medical_admission</th>\n      <th>hfrs_score</th>\n      <th>hfrs_severity</th>\n      <th>cc_score</th>\n      <th>cc_severity</th>\n      <th>cc_MI</th>\n      <th>cc_CHF</th>\n      <th>cc_PVD</th>\n      <th>cc_CVD</th>\n      <th>cc_dementia</th>\n      <th>cc_COPD</th>\n      <th>cc_rheum</th>\n      <th>cc_peptic_ulcer</th>\n      <th>cc_mild_liver_disease</th>\n      <th>cc_diabetes_wo_complications</th>\n      <th>cc_diabetes_w_complications</th>\n      <th>cc_plegia</th>\n      <th>cc_renal</th>\n      <th>cc_malignancy</th>\n      <th>cc_severe_liver</th>\n      <th>cc_metastasis</th>\n      <th>cc_AIDS</th>\n      <th>ibd_diagnosis</th>\n      <th>ibd_index_hospitalization</th>\n      <th>intestinal_abscess</th>\n      <th>meningitis</th>\n      <th>encephalitis</th>\n      <th>endocarditis</th>\n      <th>pneumonia</th>\n      <th>pyelonephritis</th>\n      <th>septic_arthritis_osteomyelitis</th>\n      <th>septicemia_or_bacteremia</th>\n      <th>clostridium_difficile</th>\n      <th>pulmonary_tuberculosis</th>\n      <th>atypical_mycobacteria</th>\n      <th>cryptococcosis_aspergillosis_histoplasmosis</th>\n      <th>listeriosis</th>\n      <th>leishmaniasis</th>\n      <th>pneumocystis_jiroveci_pneumonia</th>\n      <th>acute_myocardial_infarction</th>\n      <th>heart_failure</th>\n      <th>unstable_angina</th>\n      <th>arrhythmia</th>\n      <th>cardiac_arrest</th>\n      <th>vte_diagnosis_pe_or_dvt</th>\n      <th>history_of_vte</th>\n      <th>systemic_steroid_use</th>\n      <th>chronic_pain</th>\n      <th>opioid_overuse</th>\n      <th>depression</th>\n      <th>anxiety_disorder</th>\n      <th>bipolar_disorder</th>\n      <th>schizophrenia</th>\n      <th>problems_related_to_education_and_literacy</th>\n      <th>problems_related_to_employment_and_unemployment</th>\n      <th>occupational_exposure_to_risk_factors</th>\n      <th>problems_related_to_housing_and_economic_circumstances</th>\n      <th>problems_related_to_social_environment</th>\n      <th>problems_related_to_upbringing</th>\n      <th>other_problems_related_to_primary_support_group_including_family_circumstances</th>\n      <th>problems_related_to_certain_psychosocial_circumstances</th>\n      <th>problems_related_to_other_psychosocial_circumstances</th>\n      <th>thromboses</th>\n      <th>steroid_use</th>\n      <th>abd_pain_adm</th>\n      <th>aki_adm</th>\n      <th>gi_bleed_adm</th>\n      <th>cm_wghtloss</th>\n      <th>cm_anemdef</th>\n      <th>cm_renlfail</th>\n      <th>cm_dmcx</th>\n      <th>cm_drug</th>\n      <th>cm_lymph</th>\n      <th>cm_para</th>\n      <th>cm_ulcer</th>\n      <th>new_osteo_adm</th>\n      <th>fractures</th>\n      <th>pq1_dm_short</th>\n      <th>pq2_perf_appendix</th>\n      <th>pq14_diabeteswocomp</th>\n      <th>pq16_dm_amputate</th>\n      <th>neuro_adm</th>\n      <th>new_mi_adm</th>\n      <th>cm_tumor</th>\n      <th>intestinal_surgery</th>\n      <th>flexible_sigmoidoscopy_colonoscopy</th>\n      <th>blood_transfusion</th>\n      <th>parenteral_or_enteral_nutrition</th>\n      <th>serious_infections_during_followup</th>\n      <th>total_serious_infection_admissions</th>\n      <th>opportunistic_infections_during_followup</th>\n      <th>total_opportunistic_infection_admissions</th>\n      <th>cardiac_during_followup</th>\n      <th>total_cardiac_admissions</th>\n      <th>venous_thromboembolism_during_followup</th>\n      <th>total_venous_thromboembolism_admissions</th>\n      <th>steroid_use_during_followup</th>\n      <th>total_steroid_use_admissions</th>\n      <th>chronic_pain_during_followup</th>\n      <th>total_chronic_pain_admissions</th>\n      <th>opioid_overuse_during_followup</th>\n      <th>total_opioid_overuse_admissions</th>\n      <th>psychiatric_burden_during_followup</th>\n      <th>total_psychiatric_burden_admissions</th>\n      <th>social_determinants_of_health_during_followup</th>\n      <th>total_social_determinants_of_health_admissions</th>\n      <th>intestinal_surgery_during_followup</th>\n      <th>total_intestinal_surgery_admissions</th>\n      <th>flexible_sigmoidoscopy_colonoscopy_during_followup</th>\n      <th>total_flexible_sigmoidoscopy_colonoscopy_admissions</th>\n      <th>blood_transfusion_during_followup</th>\n      <th>total_blood_transfusion_admissions</th>\n      <th>parenteral_or_enteral_nutrition_during_followup</th>\n      <th>total_parenteral_or_enteral_nutrition_admissions</th>\n      <th>severe_ibd_hospitalization</th>\n      <th>tot_admits_for_pt</th>\n      <th>tot_hosp_charges_for_pt</th>\n      <th>tot_los_pt</th>\n      <th>cd_patients_only</th>\n      <th>uc_patients_only</th>\n      <th>readm_thirty_days</th>\n      <th>readm_ninety_days</th>\n      <th>has_30_day_readm</th>\n      <th>has_90_day_readm</th>\n      <th>total_30_day_readm</th>\n      <th>total_90_day_readm</th>\n      <th>tot_proc_for_pt</th>\n      <th>total_surg_for_pt</th>\n      <th>mental_health_opiate_for_pt</th>\n      <th>readm_during_fu</th>\n      <th>days_to_first_readm_during_fu</th>\n      <th>alive_fu_time</th>\n      <th>tot_los_per_alive_fu_pt</th>\n      <th>deciles_tot_los_per_alive_fu_pt</th>\n      <th>hnhc_patients</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2.017114e+11</td>\n      <td>88.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.805447</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>2.0</td>\n      <td>470</td>\n      <td>34.0</td>\n      <td>470.0</td>\n      <td>M1712</td>\n      <td>I10</td>\n      <td>L309</td>\n      <td>K5190</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42214.0</td>\n      <td>1.0</td>\n      <td>8.0</td>\n      <td>8.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>13979.0</td>\n      <td>447.0</td>\n      <td>e0007w8</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0SRD0J9</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>43848.0</td>\n      <td>2017.0</td>\n      <td>2.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>447</td>\n      <td>636191</td>\n      <td>24</td>\n      <td>332444</td>\n      <td>15</td>\n      <td>21737</td>\n      <td>2017</td>\n      <td>302.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42214.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>43848.0</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>360.0</td>\n      <td>0.002778</td>\n      <td>10</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2.017057e+11</td>\n      <td>49.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>1.492757</td>\n      <td>1.0</td>\n      <td>6.0</td>\n      <td>2.0</td>\n      <td>386</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K50812</td>\n      <td>G40909</td>\n      <td>J449</td>\n      <td>F17210</td>\n      <td>F329</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>41827.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>5.0</td>\n      <td>0.0</td>\n      <td>19302.0</td>\n      <td>452.0</td>\n      <td>e0009vi</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>11700.0</td>\n      <td>2017.0</td>\n      <td>2.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      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<td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>11700.0</td>\n      <td>3.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>360.0</td>\n      <td>0.008333</td>\n      <td>9</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2.017132e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.984195</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>386</td>\n      <td>34.0</td>\n      <td>386.0</td>\n      <td>K50912</td>\n      <td>E039</td>\n      <td>M1990</td>\n      <td>K219</td>\n      <td>I10</td>\n      <td>R630</td>\n      <td>F17210</td>\n      <td>G43909</td>\n      <td>Z885</td>\n      <td>E785</td>\n      <td>Z79891</td>\n      <td>Z7982</td>\n      <td>M549</td>\n      <td>J449</td>\n      <td>G8929</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42416.0</td>\n      <td>2.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>15.0</td>\n      <td>0.0</td>\n      <td>13002.0</td>\n      <td>461.0</td>\n      <td>e0021xf</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>38599.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>461</td>\n      <td>153598</td>\n      <td>41</td>\n      <td>70994</td>\n      <td>23</td>\n      <td>4374</td>\n      <td>2017</td>\n      <td>245.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>42416.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.400391</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n  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</tr>\n    <tr>\n      <th>3</th>\n      <td>2.017071e+11</td>\n      <td>54.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.389702</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>389</td>\n      <td>34.0</td>\n      <td>389.0</td>\n      <td>K5669</td>\n      <td>K5010</td>\n      <td>E663</td>\n      <td>Z885</td>\n      <td>Z6826</td>\n      <td>I10</td>\n      <td>K5900</td>\n      <td>F909</td>\n      <td>F3342</td>\n      <td>Z883</td>\n      <td>K5732</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>43509.0</td>\n      <td>3.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>11.0</td>\n      <td>0.0</td>\n      <td>18346.0</td>\n      <td>441.0</td>\n      <td>e002hi0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>28192.0</td>\n      <td>2017.0</td>\n      <td>4.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>17848</td>\n      <td>2017</td>\n      <td>247.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>43509.0</td>\n      <td>18633.0</td>\n      <td>284.0</td>\n      <td>K5720</td>\n      <td>6.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>1.799805</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      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<td>330.0</td>\n      <td>K5720</td>\n      <td>K660</td>\n      <td>F3342</td>\n      <td>K5010</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42947.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>4.0</td>\n      <td>2.0</td>\n      <td>18633.0</td>\n      <td>496.0</td>\n      <td>e002hi0</td>\n      <td>3.0</td>\n      <td>1.0</td>\n      <td>0T788DZ</td>\n      <td>0DBN4ZZ</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>103023.0</td>\n      <td>2017.0</td>\n      <td>4.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>496</td>\n      <td>726416</td>\n      <td>50</td>\n      <td>428437</td>\n      <td>37</td>\n      <td>10792</td>\n      <td>2017</td>\n      <td>231.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>42947.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.000000</td>\n      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<td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2.0</td>\n      <td>131215.0</td>\n      <td>9.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>284.0</td>\n      <td>360.0</td>\n      <td>0.025000</td>\n      <td>7</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>82397</th>\n      <td>2.017100e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>8.0</td>\n      <td>3.0</td>\n      <td>194</td>\n      <td>34.0</td>\n      <td>194.0</td>\n      <td>J189</td>\n      <td>T865</td>\n      <td>R51</td>\n      <td>Y95</td>\n      <td>L298</td>\n      <td>D89810</td>\n      <td>E222</td>\n      <td>D469</td>\n      <td>I959</td>\n      <td>Z006</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>6.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>10.0</td>\n      <td>1.0</td>\n      <td>15057.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0HBJXZX</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>1.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>121265.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>139.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>41084.0</td>\n      <td>15120.0</td>\n      <td>57.0</td>\n      <td>T865</td>\n      <td>21.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>3.900391</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>4</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>5</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>360.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>82398</th>\n      <td>2.017115e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>11.0</td>\n      <td>4.0</td>\n      <td>919</td>\n      <td>35.0</td>\n      <td>919.0</td>\n      <td>T865</td>\n      <td>N170</td>\n      <td>J069</td>\n      <td>E872</td>\n      <td>D469</td>\n      <td>E8339</td>\n      <td>D89810</td>\n      <td>R197</td>\n      <td>D61818</td>\n      <td>R7989</td>\n      <td>K5090</td>\n      <td>D709</td>\n      <td>K219</td>\n      <td>Z006</td>\n      <td>E039</td>\n      <td>Z888</td>\n      <td>Y830</td>\n      <td>T367X5A</td>\n      <td>Y92230</td>\n      <td>G4700</td>\n      <td>Z9089</td>\n      <td>Z881</td>\n      <td>Z9049</td>\n      <td>Y92039</td>\n      <td>E806</td>\n      <td>B348</td>\n      <td>E785</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>21.0</td>\n      <td>21.0</td>\n      <td>21.0</td>\n      <td>27.0</td>\n      <td>5.0</td>\n      <td>15120.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td>0DB58ZX</td>\n      <td>0DB98ZX</td>\n      <td>0DBN8ZX</td>\n      <td>0DB68ZX</td>\n      <td>XW03341</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>10.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>594335.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>660.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>15185.0</td>\n      <td>44.0</td>\n      <td>J205</td>\n      <td>2.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>5.101562</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>5</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>5</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>20.0</td>\n      <td>360.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>82399</th>\n      <td>2.017035e+11</td>\n      <td>63.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.380296</td>\n      <td>1.0</td>\n      <td>12.0</td>\n      <td>4.0</td>\n      <td>202</td>\n      <td>35.0</td>\n      <td>202.0</td>\n      <td>J205</td>\n      <td>N170</td>\n      <td>E785</td>\n      <td>T8609</td>\n      <td>E871</td>\n      <td>K5090</td>\n      <td>D61818</td>\n      <td>E039</td>\n      <td>E440</td>\n      <td>G4700</td>\n      <td>D89810</td>\n      <td>B259</td>\n      <td>D801</td>\n      <td>Z006</td>\n      <td>I10</td>\n      <td>Z6821</td>\n      <td>Y848</td>\n      <td>Y92039</td>\n      <td>T380X5A</td>\n      <td>H04123</td>\n      <td>D469</td>\n      <td>R739</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>41084.0</td>\n      <td>2.0</td>\n      <td>4.0</td>\n      <td>4.0</td>\n      <td>22.0</td>\n      <td>0.0</td>\n      <td>15185.0</td>\n      <td>441.0</td>\n      <td>ezzyha7</td>\n      <td>1.0</td>\n      <td>3.0</td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td></td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>90757.0</td>\n      <td>2017.0</td>\n      <td>3.0</td>\n      <td>10.0</td>\n      <td>10.0</td>\n      <td>3.0</td>\n      <td>2.0</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>441</td>\n      <td>1482670</td>\n      <td>59</td>\n      <td>887925</td>\n      <td>44</td>\n      <td>18731</td>\n      <td>2017</td>\n      <td>144.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>41084.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>4.800781</td>\n      <td>0.0</td>\n      <td>2.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>6</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      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<td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>2</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>6.0</td>\n      <td>35391.0</td>\n      <td>3.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1.0</td>\n      <td>1.0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>15.0</td>\n      <td>360.0</td>\n      <td>0.008333</td>\n      <td>9</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>82402 rows × 298 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 40
    }
   ],
   "source": [
    "final_cohort_file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## payer <a class=\"anchor\" id=\"payer\"></a>\n",
    "### - categorize the 'pay1' variable into a 'payer' variable by using the following rules: Medicare/Medicaid (values 1-2) = 0, Private Insurance (value 3) = 1, Self-pay/No charge/Other (values 4,5,6) = 2\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a dictionary to map the current values to their new values.\n",
    "payer_dict = {1: 0, 2:0, 3:1, 4:2, 5:2, 6:2}\n",
    "\n",
    "# Map the dictionary using the 'pay1' variable.\n",
    "final_cohort_file[\"payer\"] = final_cohort_file[\"pay1\"].map(payer_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## hosp_urban_rural_location <a class=\"anchor\" id=\"hospurban\"></a>\n",
    "### - categorize the 'hosp_urcat4' variable into a 'hosp_urban_rural_location' variable by using the following rules: Large/Small metropolitan areas with at least 1 million residents (values 1-2) = 0,Micropolitan areas/Not metropolitan or micropolitan (non-urban residual) (values 3-4) = 1\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a dictionary to map the current values to their new values.\n",
    "hosp_dict = {1: 0, 2:0, 3:1, 4:1}\n",
    "\n",
    "# Map the dictionary using the 'hosp_urcat4' variable.\n",
    "final_cohort_file[\"hosp_urban_rural_location\"] = final_cohort_file[\"hosp_urcat4\"].map(hosp_dict)"
   ]
  },
  {
   "source": [
    "## ibd_specific_adm <a class=\"anchor\" id=\"ibdspecificadm\"></a>\n",
    "### - this is an admission for IBD AFTER index hospitalization. this variable sums up the number of admissions that are for IBD (using the K50.x and K51.x) after index hospitalization\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:02, 31987.29it/s]\n",
      "82402it [00:04, 17557.28it/s]\n"
     ]
    }
   ],
   "source": [
    "# Create a list of column names.\n",
    "column_list = final_cohort_file.columns\n",
    "\n",
    "# This dictionary holds the fill in values for any blanks or NaN's in the data for the columns beginning with 'i10_dx'.\n",
    "# If there is no discharge diagnosis, it will be filled in with a value of '' so we can iterate through the rows without any errors below for NaN's.\n",
    "fill_values = {}\n",
    "\n",
    "# i10_dx_columns will hold the column's numerical position, example: i10_dx1 is the 10th column (starting from 0).\n",
    "# This will be used later to loop through the diagnosis columns specifically.\n",
    "i10_dx_columns = []\n",
    "\n",
    "# copy_columns will hold a list of columns that begin with 'i10_dx', initiate with nrd_visitlink since we need that as well.\n",
    "copy_columns = ['nrd_visitlink']\n",
    "\n",
    "# counter initialized at 1 because we have 1 item already in the copy_columns list.\n",
    "counter = 1\n",
    "\n",
    "# This loop goes through the columns in the final_cohort_file dataframe, finds the columns beginning with 'i10_dx', adds them to the dictionary and counts their position.\n",
    "for column in column_list:\n",
    "    if 'i10_dx' in column:\n",
    "        fill_values.update({column: ''})\n",
    "        i10_dx_columns.append(counter)\n",
    "        copy_columns.append(column)\n",
    "        counter += 1\n",
    "\n",
    "# Create a copy of the original dataframe, including only specified columns, fill in NaN with ''.\n",
    "i10_dx_df = final_cohort_file[copy_columns].copy().fillna(value = fill_values)\n",
    "\n",
    "# Initialize the new column.\n",
    "final_cohort_file['ibd_specific_adm_counter'] = 0\n",
    "\n",
    "# row_num keeps track of which row we are on.\n",
    "row_num = 0\n",
    "\n",
    "# Go through the dataframe row by row.\n",
    "for row in tqdm(i10_dx_df.itertuples(index=False)):\n",
    "    # Check each row and column value.\n",
    "    for position in i10_dx_columns:\n",
    "        # If an IBD related discharge is present, put a 1 in the new column.\n",
    "        if 'K50' in row[position] or 'K51' in row[position]:\n",
    "            final_cohort_file.at[row_num, 'ibd_specific_adm_counter'] = 1\n",
    "    row_num += 1\n",
    "\n",
    "# row_num keeps track of which row we are on.\n",
    "row_num = 0\n",
    "\n",
    "# This loop goes through each row and replaces any 1 in 'ibd_specific_adm_counter' with a 0 if it is the index hospitalization.\n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    if row.ibd_index_hospitalization == 1:\n",
    "        final_cohort_file.at[row_num, 'ibd_specific_adm_counter'] = 0\n",
    "    row_num += 1\n",
    "\n",
    "# Use pivot_table with aggregate function 'sum' to essentially group by the nrd_visitlinks and sum the total number of ibd_specific_adm for each patient.\n",
    "pivot_df = final_cohort_file.pivot_table(index='nrd_visitlink', values='ibd_specific_adm_counter', aggfunc='sum').reset_index()\n",
    "\n",
    "# Since the pivot table only has unique patient nrd_visitlink's and totals per patient, create a dictionary to store each patient and their total number of ibd_specific_adm.\n",
    "patient_totals = {}\n",
    "for row in pivot_df.itertuples(index=False):\n",
    "    patient_totals.update({row.nrd_visitlink: row[1]})\n",
    "\n",
    "# Create a new column called ibd_specific_adm by mapping the nrd_visitlinks values from the dicionary patient_totals.\n",
    "final_cohort_file['ibd_specific_adm'] = final_cohort_file['nrd_visitlink'].map(patient_totals)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## cm_depress <a class=\"anchor\" id=\"cmdepress\"></a>\n",
    "### - this variable sums up the number of hospitalizations for anxiety, depression, or bipolar AFTER index hospitalization\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:04, 17493.68it/s]\n"
     ]
    }
   ],
   "source": [
    "# Make a copy of psychiatric_burden_during_followup.\n",
    "final_cohort_file['cm_depress_counter'] = final_cohort_file['psychiatric_burden_during_followup']\n",
    "\n",
    "# row_num keeps track of which row we are on.\n",
    "row_num = 0\n",
    "\n",
    "# This loop goes through each row and replaces any 1 in 'cm_depress_counter' with a 0 if it is the index hospitalization.\n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    if row.ibd_index_hospitalization == 1:\n",
    "        final_cohort_file.at[row_num, 'cm_depress_counter'] = 0\n",
    "    row_num += 1\n",
    "\n",
    "# Use pivot_table with aggregate function 'sum' to essentially group by the nrd_visitlinks and sum the total number of cm_depress_counter for each patient.\n",
    "depress_pivot_df = final_cohort_file.pivot_table(index='nrd_visitlink', values='cm_depress_counter', aggfunc='sum').reset_index()\n",
    "\n",
    "# Since the pivot table only has unique patient nrd_visitlink's and totals per patient, create a dictionary to store each patient and their total number of cm_depress_counter values.\n",
    "patient_totals_depress = {}\n",
    "for row in depress_pivot_df.itertuples(index=False):\n",
    "    patient_totals_depress.update({row.nrd_visitlink: row[1]})\n",
    "\n",
    "# Create a new column called cm_depress by mapping the nrd_visitlinks values from the dicionary patient_totals_depress.\n",
    "final_cohort_file['cm_depress'] = final_cohort_file['nrd_visitlink'].map(patient_totals_depress)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ibd_procedures <a class=\"anchor\" id=\"ibdprocedures\"></a>\n",
    "### - 1 if the patient had an ibd related procedure during their index hospitalization\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:04, 18434.05it/s]\n"
     ]
    }
   ],
   "source": [
    "# Intialize the new column with a value of 0.\n",
    "final_cohort_file['ibd_procedures'] = 0\n",
    "\n",
    "# row_num keeps track of which row we are on.\n",
    "row_num = 0\n",
    "\n",
    "# This loop goes through each row and adds a 1 to the 'ibd_procedures' column if it's the index hospitalization and if the patient had 'flexible_sigmoidoscopy_colonoscopy', 'blood_transfusion', or\n",
    "# a 'parenteral_or_enteral_nutrition' procedure.\n",
    "for row in tqdm(final_cohort_file.itertuples(index=False)):\n",
    "    if row.ibd_index_hospitalization == 1:\n",
    "        if row.flexible_sigmoidoscopy_colonoscopy == 1 or row.blood_transfusion == 1 or row.parenteral_or_enteral_nutrition == 1:\n",
    "            final_cohort_file.at[row_num, 'ibd_procedures'] = 1\n",
    "    row_num += 1"
   ]
  },
  {
   "source": [
    "## cdiff_infections <a class=\"anchor\" id=\"cdiff\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "82402it [00:04, 18887.70it/s]\n",
      "82402it [00:04, 18900.40it/s]\n"
     ]
    }
   ],
   "source": [
    "## Calculate if patients who had more than 1 visit in the first 6 months \n",
    "## had 0, 1, or 2 cdiff infections in those 6 months\n",
    "\n",
    "#Get list of patient's who had a cdiff infection in first 6 months\n",
    "cdiff_patient_list = []\n",
    "cdiff_patient_list = [row.nrd_visitlink for row in tqdm(final_cohort_file.itertuples(index=False)) if row.dmonth < 7 and row.clostridium_difficile == 1]\n",
    "\n",
    "#Get list of patient's who has had 2 or more visits in the first 6 months\n",
    "from collections import Counter\n",
    "visit_list = [row.nrd_visitlink for row in tqdm(final_cohort_file.itertuples(index=False)) if row.dmonth < 7]\n",
    "cnt = Counter(visit_list)\n",
    "more_than_one_visit_list = [k for k, v in cnt.items() if v > 1]\n",
    "\n",
    "#Keep only patients who has had more than 1 visit in the first six months\n",
    "cdiff_patient_list = [x for x in cdiff_patient_list if x in more_than_one_visit_list]\n",
    "\n",
    "# count the # of cdiff infections\n",
    "cnt = Counter(cdiff_patient_list)\n",
    "one_cdiff_infection = [k for k, v in cnt.items() if v == 1]\n",
    "two_or_more_cdiff_infection = [k for k, v in cnt.items() if v > 1]\n",
    "\n",
    "#Create the column\n",
    "final_cohort_file['cdiff_infections_multiple_visits_first_six_months'] = 0\n",
    "final_cohort_file.loc[final_cohort_file.nrd_visitlink.isin(one_cdiff_infection), 'cdiff_infections_multiple_visits_first_six_months'] = 1\n",
    "final_cohort_file.loc[final_cohort_file.nrd_visitlink.isin(two_or_more_cdiff_infection), 'cdiff_infections_multiple_visits_first_six_months'] = 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean Up Unnecessary Columns <a class=\"anchor\" id=\"cleanup\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop duplicate columns and rename originals.\n",
    "final_cohort_file = final_cohort_file.drop(columns=['hosp_nrd_y', 'nrd_stratum_y', 'year_y', 'ibd_specific_adm_counter', 'cm_depress_counter'])\n",
    "final_cohort_file.rename(columns={'hosp_nrd_x':'hosp_nrd', 'nrd_stratum_x':'nrd_stratum', 'year_x':'year'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save File <a class=\"anchor\" id=\"save\"></a>\n",
    "\n",
    "[Return to Table of Contents](#contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "13.355397593333333\n"
     ]
    }
   ],
   "source": [
    "# Save the file.\n",
    "final_cohort_file.to_csv(\"data/NRD_2017_Defined_Cohort_Five_I10_DX.csv\", index=False)\n",
    "\n",
    "# Stop timer and show total number of minutes it took code to run.\n",
    "end = timer()\n",
    "\n",
    "total_time = (end - start)/60\n",
    "\n",
    "print(total_time)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Additional code to check values of various columns if needed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # The code below allows you to see different values and counts for any columns that have integer values.\n",
    "\n",
    "# # Print out the number of times each value shows up. Value is the different values that are in the specified column and Counts is the number of times a specific value appears in\n",
    "# # that column.\n",
    "# values, counts = np.unique(final_cohort_file['depression'], return_counts=True)\n",
    "# print('Values:  Counts:')\n",
    "# for number in values:\n",
    "#     print(f'{values[number]}        {counts[number]}')"
   ]
  }
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