RunAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from trapanalysis import TrapGetter\n",
    "import tifffile as tf \n",
    "from qtpy import QtWidgets, QtCore\n",
    "from keras.models import load_model\n",
    "import time\n",
    "from matplotlib import pyplot as plt\n",
    "from skimage.filters import threshold_otsu\n",
    "from scipy.ndimage.morphology import distance_transform_edt\n",
    "from skimage.feature import peak_local_max\n",
    "from Watchbackvideos import livestream\n",
    "import qimage2ndarray as qnd\n",
    "from AnnotatedVidViewer import TrapViewer\n",
    "import pandas as pd\n",
    "from seaborn import heatmap\n",
    "from HeatPlotGenerator import HeatPlotGenerator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Analyser(object):\n",
    "\n",
    "    def __init__(self,path):\n",
    "        self.videopath =path\n",
    "        self.frames = None\n",
    "        \n",
    "\n",
    "\n",
    "        #data repositories\n",
    "\n",
    "        self.intensitytrace = {}\n",
    "        self.bg_sub_intensity_trace = {}\n",
    "        \n",
    "        self.areatrace = {}\n",
    "        self.areaerrors = {}\n",
    "        self.centres = {}\n",
    "        \n",
    "        self.trapgetter = TrapGetter()\n",
    "        \n",
    "        self.visibletrapframe = None\n",
    "\n",
    "        self.classifier = load_model('VesClassifier')\n",
    "        self.mask = np.array([])\n",
    "        self.t0frameNo = 0\n",
    "        \n",
    "        self.vesiclelife = None\n",
    "        \n",
    "        self.missing_peaks = {}\n",
    "        \n",
    "        self.livestream = None\n",
    "        self.duplicates = np.array([])\n",
    "        \n",
    "        self.bgintens = None\n",
    "        self.heat_data = np.array([])\n",
    "        self.HPG = HeatPlotGenerator()\n",
    "        \n",
    "    def load_frames(self):\n",
    "\n",
    "        with tf.TiffFile(self.videopath) as tif:\n",
    "            self.frames = tif.asarray()\n",
    "        print('Done!')\n",
    "        \n",
    "        \n",
    "        \n",
    "        \n",
    "    def get_traps(self):\n",
    "        #for now assumes that the traps are visible in last frame of video. Could also add feature for user\n",
    "        #selection but that will limit the speed of automated analysis\n",
    "\n",
    "        self.visibletrapframe = self.frames[-1]\n",
    "        \n",
    "        self.trapgetter.get_trap_positions(self.visibletrapframe)\n",
    "        \n",
    "        self.trapgetter.remove_duplicates() \n",
    "\n",
    "    def rectangle(self,start, end=None, extent=None, shape=None):\n",
    "    \n",
    "        if extent is not None:\n",
    "            end = np.array(start) + np.array(extent)\n",
    "        elif end is None:\n",
    "            raise ValueError(\"Either `end` or `extent` must be given\")\n",
    "        tl = np.minimum(start, end)\n",
    "        br = np.maximum(start, end)\n",
    "        if extent is None:\n",
    "            br += 1\n",
    "        if shape is not None:\n",
    "           br = np.minimum(shape, br)\n",
    "           tl = np.maximum(np.zeros_like(shape), tl)\n",
    "        coords = np.meshgrid(*[np.arange(st, en) for st, en in zip(tuple(tl),\n",
    "                                                           tuple(br))])\n",
    "                                                           \n",
    "        return np.vstack((coords[0].flatten(),coords[1].flatten()))\n",
    "\n",
    "    def get_clips(self):\n",
    "\n",
    "        counter = 0\n",
    "        for trap in self.trapgetter.trap_positions:\n",
    "            \n",
    "            if self.mask.shape[0] >0:\n",
    "                \n",
    "                try:\n",
    "                    self.mask = np.vstack((self.mask,self.rectangle(start = trap-[self.trapgetter.topboxrel,self.trapgetter.leftboxrel],end = trap +[self.trapgetter.bottomboxrel,self.trapgetter.rightboxrel])))\n",
    "                except:\n",
    "                    continue\n",
    "            else:\n",
    "                    self.mask = self.rectangle(start = trap-[self.trapgetter.topboxrel,self.trapgetter.leftboxrel],end = trap +[self.trapgetter.bottomboxrel,self.trapgetter.rightboxrel])\n",
    "\n",
    "            counter +=1\n",
    "        print(counter)\n",
    "        self.mask = self.mask.reshape(int(self.mask.shape[0]/2),2,self.mask.shape[1])\n",
    "    \n",
    "    def get_clips_alt(self):\n",
    "        \n",
    "        for trap in self.trapgetter.trap_positions:\n",
    "            clip = np.zeros_like(self.frames[0])\n",
    "            \n",
    "            try:\n",
    "                clip[self.rectangle(start = trap-[self.trapgetter.topboxrel,self.trapgetter.leftboxrel],end = trap +[self.trapgetter.bottomboxrel,self.trapgetter.rightboxrel])[0],self.rectangle(start = trap-[self.trapgetter.topboxrel,self.trapgetter.leftboxrel],end = trap +[self.trapgetter.bottomboxrel,self.trapgetter.rightboxrel])[1]]=1\n",
    "            except:\n",
    "                continue\n",
    "            if self.mask.shape[0] > 0:\n",
    "                self.mask = np.vstack((self.mask,clip.flatten()))\n",
    "            else:\n",
    "                self.mask = clip.flatten()\n",
    "                \n",
    "                \n",
    "    def sett0frame(self,frameno):\n",
    "        \n",
    "        self.t0frameNo = int(frameno)\n",
    "    def classify_clips(self):\n",
    "        \n",
    "        #classify contents of boxes in t = 0 frame, and then switch off recording for initially empty boxes\n",
    "        initial_frame = self.frames[self.t0frameNo]\n",
    "        \n",
    "        \n",
    "        self.clips = initial_frame.flatten().T*self.mask\n",
    "        \n",
    "        self.clips = self.clips[self.clips >0].reshape(self.clips.shape[0],31,31)\n",
    "        \n",
    "        self.clips -= np.min(self.clips)\n",
    "        \n",
    "        self.clips = self.clips/np.max(self.clips)\n",
    "        \n",
    "        self.class_labels = self.classifier.predict(self.clips[:,:30,:30,np.newaxis],batch_size = self.clips.shape[0])\n",
    "        \n",
    "        self.class_labels = self.class_labels.reshape(self.class_labels.shape[0],)\n",
    "        \n",
    "        \n",
    "    def process_clips(self,clips):\n",
    "        \n",
    "        clips -= np.min(clips)\n",
    "        \n",
    "        clips = clips/np.max(clips)\n",
    "        \n",
    "        return clips\n",
    "    \n",
    "        \n",
    "    def analyse_frames(self,maxframe):\n",
    "\n",
    "            \n",
    "        self.active_labels = self.trapgetter.labels[self.class_labels.astype(int) == 1]\n",
    "        self.activemask = self.mask[self.class_labels.astype(int) == 1]\n",
    "        \n",
    "        counter = 0\n",
    "        for frame in self.frames[self.t0frameNo:maxframe]:\n",
    "            \n",
    "            tic = time.time()\n",
    "            \n",
    "            self.clips = frame.flatten().T*self.activemask\n",
    "            \n",
    "            self.clips = self.clips[self.clips >0].reshape(self.clips.shape[0],31,31)\n",
    "            \n",
    "            self.zerominclips = self.clips - np.min(self.clips) \n",
    "            \n",
    "            self.zero2oneclips = self.zerominclips/np.max(self.zerominclips)\n",
    "            \n",
    "            self.class_labels = self.classifier.predict(self.zero2oneclips[:,:30,:30,np.newaxis],batch_size = self.clips.shape[0])\n",
    "            \n",
    "            self.class_labels = self.class_labels.reshape(self.class_labels.shape[0],)\n",
    "\n",
    "            for label in self.active_labels:\n",
    "                self.extract_intensity(label,counter)\n",
    "                \n",
    "                \n",
    "            self.active_labels = self.active_labels[self.class_labels.astype(int) == 1]\n",
    "            \n",
    "            \n",
    "            \n",
    "            self.activemask = self.activemask[self.class_labels.astype(int) == 1]\n",
    "    \n",
    "            toc = time.time()\n",
    "            \n",
    "            print(len(self.active_labels), 'time taken is: '+ str(toc -tic))\n",
    "            counter +=1\n",
    "           \n",
    "    def visualise_active_clips(self,num = 3):\n",
    "        \n",
    "        number_of_samples = num       \n",
    "        \n",
    "        idxs = np.arange(self.active_labels.shape[0])\n",
    "        if idxs.shape[0] >0:\n",
    "            idxs = np.random.choice(idxs, number_of_samples, replace=False)\n",
    "            for i, idx in enumerate(idxs):\n",
    "                plt.subplot(number_of_samples, 1, i+1)\n",
    "                plt.imshow(self.clips[idx],cmap = 'gray')\n",
    "                \n",
    "                plt.xlabel('Active Clip')\n",
    "                \n",
    "                \n",
    "                if i == 0:\n",
    "                    plt.title('Active Boxes detected by Classifier')\n",
    "    \n",
    "        plt.tight_layout()\n",
    "        plt.show()\n",
    "                \n",
    "    def extract_background_intensity(self):\n",
    "        self.bgoffset = [int(0.5*np.median(self.trapgetter.distances[np.arange(self.trapgetter.distances.shape[0]),self.trapgetter.sorted_distances[:,1]][self.trapgetter.distances[np.arange(self.trapgetter.distances.shape[0]),self.trapgetter.sorted_distances[:,1]] > 10])),0]\n",
    "        self.bgcentrecoords = self.trapgetter.trap_positions[self.trapgetter.labels == 0][0] - self.bgoffset\n",
    "        \n",
    "        self.bgintens = np.average(A.frames[:,self.bgcentrecoords[0]-3:self.bgcentrecoords[0]+3,self.bgcentrecoords[1]-3:self.bgcentrecoords[1]+3],axis = (1,2))\n",
    "        \n",
    "    def extract_background(self,maxlen):\n",
    "        self.bgintens = np.average(A.frames[maxlen+1:])\n",
    "        \n",
    "    def extract_intensity(self,label,counter):\n",
    "        \n",
    "        threshold = threshold_otsu(self.clips[self.active_labels == label])\n",
    "        \n",
    "        testclip = np.zeros_like(self.clips[self.active_labels == label].reshape(31,31))\n",
    "        \n",
    "        testclip[self.clips[self.active_labels == label].reshape(31,31) > threshold] = 1\n",
    "        \n",
    "        try:\n",
    "            self.areatrace[str(label)].append(len(testclip[testclip >0]))\n",
    "        except KeyError:\n",
    "            self.areatrace[str(label)] = [len(testclip[testclip >0])]\n",
    "            \n",
    "        dt = distance_transform_edt(testclip)\n",
    "        \n",
    "        try:\n",
    "            centre = peak_local_max(dt,threshold_rel = 0.6)[0]\n",
    "            \n",
    "        except IndexError:\n",
    "            centre = []\n",
    "            try:\n",
    "                self.missing_peaks[str(label)].append(counter)\n",
    "            except KeyError:\n",
    "                self.missing_peaks[str(label)] = [counter]\n",
    "          \n",
    "            \n",
    "            \n",
    "        if len(centre) >0:\n",
    "            \n",
    "            av_intens = np.average(self.clips[self.active_labels == label][0][centre[0]-4:centre[0]+4,centre[1]-4:centre[1]+4])\n",
    "        \n",
    "            try:\n",
    "            \n",
    "                self.intensitytrace[str(label)].append(av_intens)\n",
    "            except KeyError:\n",
    "                self.intensitytrace[str(label)] = [av_intens]\n",
    "            \n",
    "            try:\n",
    "                self.centres[str(label)].append(centre)\n",
    "            except KeyError:\n",
    "                self.centres[str(label)] = [centre]    \n",
    "        \n",
    "        \n",
    "        \n",
    "        \n",
    "    def visualise_box_contents(self,label):\n",
    "        \n",
    "        trap = self.trapgetter.trap_positions[self.trapgetter.labels == label][0]\n",
    "        \n",
    "        \n",
    "        clip = np.zeros_like(self.frames[0])\n",
    "        \n",
    "        try:\n",
    "            clip[self.rectangle(start = trap-[self.trapgetter.topboxrel,self.trapgetter.leftboxrel],end = trap +[self.trapgetter.bottomboxrel,self.trapgetter.rightboxrel])[0],self.rectangle(start = trap-[self.trapgetter.topboxrel,self.trapgetter.leftboxrel],end = trap +[self.trapgetter.bottomboxrel,self.trapgetter.rightboxrel])[1]]=1\n",
    "\n",
    "        except:\n",
    "            raise IndexError\n",
    "            \n",
    "        \n",
    "        self.vesiclelife = self.frames.reshape(self.frames.shape[0],self.frames.shape[1]*self.frames.shape[2])*clip.flatten()\n",
    "        \n",
    "        self.vesiclelife = self.vesiclelife[self.vesiclelife !=0]\n",
    "        \n",
    "        self.vesiclelife = self.vesiclelife.reshape(self.frames.shape[0],31,31)\n",
    "        \n",
    "        \n",
    "    def plotnow(self,label):\n",
    "        self.plotIAforaves(30*np.arange(len(self.areatrace[str(label)])),self.areatrace[str(label)],30*np.arange(len(self.bg_sub_intensity_trace[str(label)])),self.bg_sub_intensitytrace[str(label)])\n",
    "    def plotIAforaves(self,xdataA,ydataA,xdataI= None,ydataI = None):\n",
    "        \n",
    "        \n",
    "        plt.figure()\n",
    "        if xdataI:\n",
    "                \n",
    "            plt.subplot(211)\n",
    "            plt.title('Plot of Area (top) and Average Inner Intensity (below) \\n against Frame Number for a Randomly Chosen Vesicle')\n",
    "            plt.ylabel('Area /Pixels')\n",
    "            plt.yticks([int(np.min(ydataA)),int(0.5*(np.max(ydataA)-np.min(ydataA))),int(np.max(ydataA))])\n",
    "            plt.xticks(np.array([0,int(len(ydataI)),len(ydataI)])*30) \n",
    "    \n",
    "            plt.plot(xdataA,ydataA)\n",
    "    \n",
    "            plt.subplot(212)\n",
    "            plt.ylabel('Intensity/arbitrary units')\n",
    "            plt.yticks([int(np.min(ydataI)),int(0.5*(np.max(ydataI)-np.min(ydataI))),int(np.max(ydataI))])\n",
    "            plt.xticks(np.array([0,int(len(ydataI)/2),len(ydataI)])*30) \n",
    "            plt.xlabel('Time since T0/s')\n",
    "            plt.plot(xdataI,ydataI)\n",
    "            \n",
    "            plt.tight_layout()\n",
    "        \n",
    "        else:\n",
    "            plt.subplot(111)\n",
    "            plt.plot(xdataA,ydataA)\n",
    "            \n",
    "    def viewstream(self,label,tmax,video,t0= None,annotations = True):\n",
    "        if not t0:\n",
    "            t0 = self.t0frameNo\n",
    "            \n",
    "        self.ls = livestream(qnd,video[t0:tmax],annotations_on = annotations,annotate_coords = self.centres[str(label)])\n",
    "       \n",
    "        \n",
    "    def subtract_background(self):\n",
    "        \n",
    "        for key in self.intensitytrace.keys():\n",
    "            self.bg_sub_intensity_trace[key] = np.array(self.intensitytrace[key])-self.bgintens\n",
    "            \n",
    "            \n",
    "    def heat_data_generator(self):\n",
    "        maxlen = -1\n",
    "        for key in self.bg_sub_intensity_trace.keys():\n",
    "            length = self.bg_sub_intensity_trace[key].shape[0]\n",
    "            if length > maxlen:\n",
    "                maxlen = length\n",
    "            \n",
    "        for key in self.bg_sub_intensity_trace.keys():\n",
    "        \n",
    "            if self.heat_data.shape[0] == 0:\n",
    "                self.heat_data = np.concatenate((self.bg_sub_intensity_trace[key],np.zeros((maxlen-self.bg_sub_intensity_trace[key].shape[0],))))\n",
    "            else:\n",
    "                \n",
    "                self.heat_data = np.vstack((self.heat_data,np.concatenate((self.bg_sub_intensity_trace[key],np.zeros((maxlen-self.bg_sub_intensity_trace[key].shape[0],))))))\n",
    "        lengths = []\n",
    "        \n",
    "        for i  in range(0,self.heat_data.shape[0]):\n",
    "            self.heat_data[i,:] = self.heat_data[i,:]/self.heat_data[i,0]\n",
    "            array = self.heat_data[i,:]\n",
    "            \n",
    "            lengths.append(array[array > 0.5].shape[0])    \n",
    "            \n",
    "        lengths = np.array(lengths)\n",
    "        \n",
    "        \n",
    "        self.heat_data_ordered = self.heat_data[np.argsort(lengths)]\n",
    "        \n",
    "        self.times = 30*np.arange(self.heat_data_ordered.shape[0])\n",
    "        \n",
    "    def get_heat_plot(self):\n",
    "        \n",
    "        self.HPG.generate(self.times,self.heat_data_ordered,'Plot of the fluorescent intensities of trapped vesicles\\n against time after being subject to the drug')\n",
    "        \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/MarcusF/anaconda3/lib/python3.6/site-packages/tifffile/tifffile.py:2236: UserWarning: ome-xml: not an ome-tiff master file\n",
      "  warnings.warn('ome-xml: not an ome-tiff master file')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done!\n",
      "75 time taken is: 1.7065849304199219\n",
      "75 time taken is: 1.092353105545044\n",
      "75 time taken is: 0.5021047592163086\n",
      "75 time taken is: 0.4800839424133301\n",
      "75 time taken is: 0.542504072189331\n",
      "75 time taken is: 0.36571431159973145\n",
      "75 time taken is: 0.3282299041748047\n",
      "75 time taken is: 0.3252530097961426\n",
      "75 time taken is: 0.36484503746032715\n",
      "75 time taken is: 0.18580102920532227\n",
      "75 time taken is: 0.20523881912231445\n",
      "75 time taken is: 0.1905992031097412\n",
      "75 time taken is: 0.1827857494354248\n",
      "75 time taken is: 0.17917490005493164\n",
      "75 time taken is: 0.20591497421264648\n",
      "75 time taken is: 0.18833708763122559\n",
      "75 time taken is: 0.21936893463134766\n",
      "75 time taken is: 0.18562674522399902\n",
      "75 time taken is: 0.2131502628326416\n",
      "75 time taken is: 0.16833782196044922\n",
      "75 time taken is: 0.20936322212219238\n",
      "75 time taken is: 0.2661311626434326\n",
      "75 time taken is: 0.28402185440063477\n",
      "75 time taken is: 0.18742704391479492\n",
      "75 time taken is: 0.17943906784057617\n",
      "75 time taken is: 0.19546294212341309\n",
      "75 time taken is: 0.1934976577758789\n",
      "75 time taken is: 0.16906499862670898\n",
      "74 time taken is: 0.18054509162902832\n",
      "74 time taken is: 0.17647290229797363\n",
      "74 time taken is: 0.18018674850463867\n",
      "74 time taken is: 0.15683603286743164\n",
      "74 time taken is: 0.16918015480041504\n",
      "74 time taken is: 0.16664886474609375\n",
      "74 time taken is: 0.1919081211090088\n",
      "74 time taken is: 0.16129589080810547\n",
      "74 time taken is: 0.1820070743560791\n",
      "74 time taken is: 0.16651701927185059\n",
      "74 time taken is: 0.16794180870056152\n",
      "74 time taken is: 0.16802406311035156\n",
      "74 time taken is: 0.1764228343963623\n",
      "74 time taken is: 0.1604299545288086\n",
      "74 time taken is: 0.1925489902496338\n",
      "74 time taken is: 0.18365907669067383\n",
      "74 time taken is: 0.16693496704101562\n",
      "73 time taken is: 0.1892259120941162\n",
      "73 time taken is: 0.1621570587158203\n",
      "73 time taken is: 0.18109488487243652\n",
      "73 time taken is: 0.1893908977508545\n",
      "73 time taken is: 0.16160011291503906\n",
      "73 time taken is: 0.16216111183166504\n",
      "73 time taken is: 0.18913030624389648\n",
      "73 time taken is: 0.17019891738891602\n",
      "73 time taken is: 0.19600725173950195\n",
      "73 time taken is: 0.16329598426818848\n",
      "73 time taken is: 0.1662120819091797\n",
      "73 time taken is: 0.16608691215515137\n",
      "73 time taken is: 0.169417142868042\n",
      "73 time taken is: 0.1909329891204834\n",
      "73 time taken is: 0.1871187686920166\n",
      "73 time taken is: 0.2019791603088379\n",
      "73 time taken is: 0.18412423133850098\n",
      "73 time taken is: 0.19416022300720215\n",
      "73 time taken is: 0.18611598014831543\n",
      "73 time taken is: 0.1876082420349121\n",
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      "21 time taken is: 0.08081698417663574\n",
      "21 time taken is: 0.07770013809204102\n",
      "19 time taken is: 0.07937502861022949\n",
      "19 time taken is: 0.08194613456726074\n",
      "19 time taken is: 0.046816110610961914\n",
      "19 time taken is: 0.04597616195678711\n",
      "19 time taken is: 0.047885894775390625\n",
      "19 time taken is: 0.051032066345214844\n",
      "19 time taken is: 0.049060821533203125\n",
      "19 time taken is: 0.0540311336517334\n",
      "19 time taken is: 0.0766150951385498\n",
      "19 time taken is: 0.06407690048217773\n",
      "19 time taken is: 0.08359313011169434\n",
      "18 time taken is: 0.060121774673461914\n",
      "18 time taken is: 0.04320406913757324\n",
      "18 time taken is: 0.04207777976989746\n",
      "18 time taken is: 0.042754173278808594\n",
      "18 time taken is: 0.045449018478393555\n",
      "18 time taken is: 0.048909902572631836\n",
      "18 time taken is: 0.04799604415893555\n",
      "18 time taken is: 0.06522417068481445\n",
      "18 time taken is: 0.07348465919494629\n",
      "18 time taken is: 0.05832719802856445\n",
      "18 time taken is: 0.053507089614868164\n",
      "18 time taken is: 0.04299736022949219\n",
      "17 time taken is: 0.04112982749938965\n",
      "17 time taken is: 0.04107785224914551\n",
      "17 time taken is: 0.043678998947143555\n",
      "17 time taken is: 0.04584479331970215\n",
      "17 time taken is: 0.0497591495513916\n",
      "17 time taken is: 0.05098700523376465\n",
      "17 time taken is: 0.0641012191772461\n",
      "17 time taken is: 0.05708503723144531\n",
      "17 time taken is: 0.05124402046203613\n",
      "17 time taken is: 0.04932212829589844\n",
      "17 time taken is: 0.04916119575500488\n",
      "17 time taken is: 0.05107712745666504\n",
      "17 time taken is: 0.04444003105163574\n",
      "16 time taken is: 0.04741191864013672\n",
      "16 time taken is: 0.05171704292297363\n",
      "15 time taken is: 0.06529498100280762\n",
      "14 time taken is: 0.06575989723205566\n",
      "14 time taken is: 0.049060821533203125\n",
      "13 time taken is: 0.04343724250793457\n",
      "13 time taken is: 0.03127408027648926\n",
      "13 time taken is: 0.0368959903717041\n",
      "12 time taken is: 0.03737378120422363\n",
      "12 time taken is: 0.031787872314453125\n",
      "10 time taken is: 0.03549909591674805\n",
      "10 time taken is: 0.03834199905395508\n",
      "10 time taken is: 0.03379034996032715\n",
      "9 time taken is: 0.03872799873352051\n",
      "8 time taken is: 0.03724408149719238\n",
      "8 time taken is: 0.027710914611816406\n",
      "8 time taken is: 0.02396416664123535\n",
      "8 time taken is: 0.023374080657958984\n",
      "8 time taken is: 0.020679235458374023\n",
      "7 time taken is: 0.02083301544189453\n",
      "7 time taken is: 0.01857614517211914\n",
      "7 time taken is: 0.017077922821044922\n",
      "7 time taken is: 0.022778987884521484\n",
      "7 time taken is: 0.01770806312561035\n",
      "7 time taken is: 0.020879268646240234\n",
      "6 time taken is: 0.01845073699951172\n",
      "6 time taken is: 0.015621185302734375\n",
      "5 time taken is: 0.02373194694519043\n",
      "5 time taken is: 0.019880056381225586\n",
      "5 time taken is: 0.018583059310913086\n",
      "4 time taken is: 0.0178530216217041\n",
      "4 time taken is: 0.014865875244140625\n",
      "4 time taken is: 0.01653003692626953\n",
      "4 time taken is: 0.018207073211669922\n",
      "4 time taken is: 0.016185760498046875\n",
      "4 time taken is: 0.018090009689331055\n",
      "4 time taken is: 0.0159609317779541\n",
      "4 time taken is: 0.016438007354736328\n",
      "4 time taken is: 0.02396988868713379\n",
      "4 time taken is: 0.015062570571899414\n",
      "4 time taken is: 0.013167142868041992\n",
      "4 time taken is: 0.019755125045776367\n",
      "3 time taken is: 0.015217065811157227\n",
      "3 time taken is: 0.009320735931396484\n",
      "3 time taken is: 0.013628005981445312\n",
      "3 time taken is: 0.015449047088623047\n",
      "3 time taken is: 0.013971328735351562\n",
      "3 time taken is: 0.012732744216918945\n",
      "3 time taken is: 0.012879133224487305\n",
      "3 time taken is: 0.010890007019042969\n",
      "3 time taken is: 0.012334108352661133\n",
      "3 time taken is: 0.010071754455566406\n",
      "3 time taken is: 0.012406110763549805\n",
      "3 time taken is: 0.011460304260253906\n",
      "3 time taken is: 0.01252293586730957\n",
      "3 time taken is: 0.009922981262207031\n",
      "3 time taken is: 0.014074087142944336\n",
      "3 time taken is: 0.012403011322021484\n",
      "3 time taken is: 0.012987136840820312\n",
      "3 time taken is: 0.010300159454345703\n",
      "3 time taken is: 0.012687921524047852\n",
      "3 time taken is: 0.011718034744262695\n",
      "2 time taken is: 0.013134956359863281\n",
      "2 time taken is: 0.009793996810913086\n",
      "2 time taken is: 0.011755943298339844\n",
      "2 time taken is: 0.010553836822509766\n",
      "2 time taken is: 0.006662845611572266\n",
      "2 time taken is: 0.008906126022338867\n",
      "2 time taken is: 0.006133079528808594\n",
      "2 time taken is: 0.007969141006469727\n",
      "2 time taken is: 0.007781982421875\n",
      "2 time taken is: 0.008268117904663086\n",
      "2 time taken is: 0.006896018981933594\n",
      "2 time taken is: 0.0061800479888916016\n",
      "2 time taken is: 0.005959987640380859\n",
      "2 time taken is: 0.00659489631652832\n",
      "2 time taken is: 0.008490324020385742\n",
      "2 time taken is: 0.008652210235595703\n"
     ]
    }
   ],
   "source": [
    "    A = Analyser('/Users/MarcusF/Desktop/TrapAnalysis/260522_CecB-  PCPG vesicles- after flushing_1_MMStack_Pos6.ome.tif')\n",
    "    A.load_frames()\n",
    "    A.get_traps()\n",
    "    A.get_clips_alt()\n",
    "    A.sett0frame(400)\n",
    "    A.classify_clips()\n",
    "    A.analyse_frames(965)\n",
    "    A.extract_background(965)\n",
    "    A.subtract_background()\n",
    "    A.heat_data_generator()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "A.get_heat_plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-18ca2188f4f1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mA\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplotIAforaves\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimes\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mareatrace\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mxdataI\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mA\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimes\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mydataI\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbg_sub_intensity_trace\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-2-375713315a69>\u001b[0m in \u001b[0;36mplotIAforaves\u001b[0;34m(self, xdataA, ydataA, xdataI, ydataI)\u001b[0m\n\u001b[1;32m    275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    276\u001b[0m         \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 277\u001b[0;31m         \u001b[0;32mif\u001b[0m \u001b[0mxdataI\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    278\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    279\u001b[0m             \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m211\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "A.plotIAforaves(A.times,A.areatrace,xdataI = A.times,ydataI=A.bg_sub_intensity_trace,)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.savetxt('/Users/MarcusF/Desktop/TrapAnalysis/times.txt',A.times)\n",
    "np.savetxt('/Users/MarcusF/Desktop/TrapAnalysis/ordered_ves_intens.txt',A.heat_data_ordered)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1c3b592dd8>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "fig,(ax,heatbar) = plt.subplots(1,2)\n",
    "\n",
    "\n",
    "plt.subplots_adjust(wspace = 0.1,hspace = 0)\n",
    "\n",
    "ax.imshow(A.heat_data_ordered,aspect = \"auto\")\n",
    "\n",
    "heatbar_data = np.linspace(np.min(A.heat_data_ordered),np.max(A.heat_data_ordered),A.heat_data_ordered.shape[0])\n",
    "                           \n",
    "heatbar_data = np.tile(heatbar_data,(5,1))\n",
    "\n",
    "heatbar_data = heatbar_data.T[::-1]\n",
    "\n",
    "heatbar.imshow(heatbar_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "A.visualise_box_contents(31)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'NoneType' object is not subscriptable",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-3c997c932e71>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mA\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mviewstream\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m31\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m965\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvesiclelife\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-3-375713315a69>\u001b[0m in \u001b[0;36mviewstream\u001b[0;34m(self, label, tmax, video, t0, annotations)\u001b[0m\n\u001b[1;32m    302\u001b[0m             \u001b[0mt0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mt0frameNo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    303\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 304\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlivestream\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqnd\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mvideo\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mt0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mtmax\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mannotations_on\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mannotations\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mannotate_coords\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcentres\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    305\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    306\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"
     ]
    }
   ],
   "source": [
    "A.viewstream(31,965,A.vesiclelife)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "arrays must all be same length",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-87d32572f100>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mA\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mintensitytrace\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfillna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m''\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mfrom_dict\u001b[0;34m(cls, data, orient, dtype, columns)\u001b[0m\n\u001b[1;32m    983\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'only recognize index or columns for orient'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    984\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 985\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    986\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    987\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mto_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morient\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'dict'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minto\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[1;32m    346\u001b[0m                                  dtype=dtype, copy=copy)\n\u001b[1;32m    347\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 348\u001b[0;31m             \u001b[0mmgr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_init_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    349\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMaskedArray\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    350\u001b[0m             \u001b[0;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmrecords\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmrecords\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_init_dict\u001b[0;34m(self, data, index, columns, dtype)\u001b[0m\n\u001b[1;32m    457\u001b[0m             \u001b[0marrays\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkeys\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    458\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 459\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_arrays_to_mgr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_names\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    460\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    461\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_init_ndarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_arrays_to_mgr\u001b[0;34m(arrays, arr_names, index, columns, dtype)\u001b[0m\n\u001b[1;32m   7354\u001b[0m     \u001b[0;31m# figure out the index, if necessary\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7355\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mindex\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 7356\u001b[0;31m         \u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mextract_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   7357\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7358\u001b[0m     \u001b[0;31m# don't force copy because getting jammed in an ndarray anyway\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36mextract_index\u001b[0;34m(data)\u001b[0m\n\u001b[1;32m   7400\u001b[0m             \u001b[0mlengths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mraw_lengths\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7401\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlengths\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 7402\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'arrays must all be same length'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   7403\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   7404\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mhave_dicts\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: arrays must all be same length"
     ]
    }
   ],
   "source": [
    "pd.DataFrame.from_dict(A.intensitytrace).fillna('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame.from_dict(A.intensitytrace, orient='index').transpose().fillna('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>3232.81</td>\n",
       "      <td>3375.48</td>\n",
       "      <td>5263.67</td>\n",
       "      <td>2938.03</td>\n",
       "      <td>...</td>\n",
       "      <td>3824.16</td>\n",
       "      <td>4598.42</td>\n",
       "      <td>5720.33</td>\n",
       "      <td>5676.92</td>\n",
       "      <td>5502.16</td>\n",
       "      <td>4400.56</td>\n",
       "      <td>3408.22</td>\n",
       "      <td>1814.3</td>\n",
       "      <td>4348.52</td>\n",
       "      <td>2299.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3296.11</td>\n",
       "      <td>3037.14</td>\n",
       "      <td>2399.73</td>\n",
       "      <td>2793.17</td>\n",
       "      <td>4883.47</td>\n",
       "      <td>2854.14</td>\n",
       "      <td>3207.59</td>\n",
       "      <td>3253.86</td>\n",
       "      <td>5328.64</td>\n",
       "      <td>2926.66</td>\n",
       "      <td>...</td>\n",
       "      <td>3799.75</td>\n",
       "      <td>4563.42</td>\n",
       "      <td>5717.08</td>\n",
       "      <td>5681.09</td>\n",
       "      <td>5460.45</td>\n",
       "      <td>4288.66</td>\n",
       "      <td>3457.62</td>\n",
       "      <td>1800.78</td>\n",
       "      <td>4290.45</td>\n",
       "      <td>2378.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3343.58</td>\n",
       "      <td>3075.2</td>\n",
       "      <td>2417.83</td>\n",
       "      <td>2942.88</td>\n",
       "      <td>4930.8</td>\n",
       "      <td>2858.06</td>\n",
       "      <td>3243.05</td>\n",
       "      <td>3387.81</td>\n",
       "      <td>5282.92</td>\n",
       "      <td>2894.36</td>\n",
       "      <td>...</td>\n",
       "      <td>3707.66</td>\n",
       "      <td>4668.11</td>\n",
       "      <td>5760.34</td>\n",
       "      <td>5608.14</td>\n",
       "      <td>5508.3</td>\n",
       "      <td>4423.75</td>\n",
       "      <td>3398.67</td>\n",
       "      <td>1752.06</td>\n",
       "      <td>4357.72</td>\n",
       "      <td>2352.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3362.86</td>\n",
       "      <td>3067.03</td>\n",
       "      <td>2397.66</td>\n",
       "      <td>3004.67</td>\n",
       "      <td>4950.77</td>\n",
       "      <td>2840.53</td>\n",
       "      <td>3183.97</td>\n",
       "      <td>3337.88</td>\n",
       "      <td>5276.44</td>\n",
       "      <td>2946.02</td>\n",
       "      <td>...</td>\n",
       "      <td>3719.77</td>\n",
       "      <td>4655.83</td>\n",
       "      <td>5879.83</td>\n",
       "      <td>5639.27</td>\n",
       "      <td>5482.67</td>\n",
       "      <td>4385.06</td>\n",
       "      <td>3406.73</td>\n",
       "      <td>1794.64</td>\n",
       "      <td>4354.83</td>\n",
       "      <td>2328.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3394.67</td>\n",
       "      <td>3060.58</td>\n",
       "      <td>2452.72</td>\n",
       "      <td>3325.09</td>\n",
       "      <td>4933</td>\n",
       "      <td>2880.27</td>\n",
       "      <td>3260.89</td>\n",
       "      <td>3395.34</td>\n",
       "      <td>5308.75</td>\n",
       "      <td>2933.89</td>\n",
       "      <td>...</td>\n",
       "      <td>3805.41</td>\n",
       "      <td>4656.78</td>\n",
       "      <td>5829.92</td>\n",
       "      <td>5707.42</td>\n",
       "      <td>5574.16</td>\n",
       "      <td>4468.55</td>\n",
       "      <td>3419.47</td>\n",
       "      <td>1810.12</td>\n",
       "      <td>4294.42</td>\n",
       "      <td>2293.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3313.97</td>\n",
       "      <td>3088.39</td>\n",
       "      <td>2463.7</td>\n",
       "      <td>2923.83</td>\n",
       "      <td>4953.88</td>\n",
       "      <td>2907.25</td>\n",
       "      <td>3224.94</td>\n",
       "      <td>3353.06</td>\n",
       "      <td>5305.62</td>\n",
       "      <td>2926.19</td>\n",
       "      <td>...</td>\n",
       "      <td>3735.8</td>\n",
       "      <td>4570.34</td>\n",
       "      <td>5760.31</td>\n",
       "      <td>5737.64</td>\n",
       "      <td>5435.91</td>\n",
       "      <td>4413.17</td>\n",
       "      <td>3411.59</td>\n",
       "      <td>1785.25</td>\n",
       "      <td>4313.98</td>\n",
       "      <td>2294.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3341.69</td>\n",
       "      <td>3077.86</td>\n",
       "      <td>2412.12</td>\n",
       "      <td>2783.58</td>\n",
       "      <td>4901.06</td>\n",
       "      <td>2820.33</td>\n",
       "      <td>3277.41</td>\n",
       "      <td>3339.94</td>\n",
       "      <td>5336.2</td>\n",
       "      <td>2938.89</td>\n",
       "      <td>...</td>\n",
       "      <td>3754.19</td>\n",
       "      <td>4607.33</td>\n",
       "      <td>5836.91</td>\n",
       "      <td>5646.05</td>\n",
       "      <td>5527.97</td>\n",
       "      <td>4383.98</td>\n",
       "      <td>3448.48</td>\n",
       "      <td>1760.98</td>\n",
       "      <td>4409.38</td>\n",
       "      <td>2397.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3347.41</td>\n",
       "      <td>3083.23</td>\n",
       "      <td>2442.3</td>\n",
       "      <td>2765.45</td>\n",
       "      <td>4842.62</td>\n",
       "      <td>2836.02</td>\n",
       "      <td>3226.89</td>\n",
       "      <td>3386.92</td>\n",
       "      <td>5297.69</td>\n",
       "      <td>2965.88</td>\n",
       "      <td>...</td>\n",
       "      <td>3798.59</td>\n",
       "      <td>4598.42</td>\n",
       "      <td>5826.22</td>\n",
       "      <td>5622.73</td>\n",
       "      <td>5536.44</td>\n",
       "      <td>4453.94</td>\n",
       "      <td>3439.7</td>\n",
       "      <td>1750.89</td>\n",
       "      <td>4265.75</td>\n",
       "      <td>2369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3336.28</td>\n",
       "      <td>3114.83</td>\n",
       "      <td>2449.73</td>\n",
       "      <td>2988.25</td>\n",
       "      <td>4903.45</td>\n",
       "      <td>2862.02</td>\n",
       "      <td>3236.14</td>\n",
       "      <td>3332.91</td>\n",
       "      <td>5298.27</td>\n",
       "      <td>2977.7</td>\n",
       "      <td>...</td>\n",
       "      <td>3812.98</td>\n",
       "      <td>4651.56</td>\n",
       "      <td>5756.23</td>\n",
       "      <td>5653.09</td>\n",
       "      <td>5450.92</td>\n",
       "      <td>4399.38</td>\n",
       "      <td>3464.39</td>\n",
       "      <td>1768.95</td>\n",
       "      <td>4333.89</td>\n",
       "      <td>2331.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3297.02</td>\n",
       "      <td>3098.28</td>\n",
       "      <td>2436.61</td>\n",
       "      <td>2982.2</td>\n",
       "      <td>4933.09</td>\n",
       "      <td>2837.11</td>\n",
       "      <td>3270.17</td>\n",
       "      <td>3379.34</td>\n",
       "      <td>5303.48</td>\n",
       "      <td>2913.33</td>\n",
       "      <td>...</td>\n",
       "      <td>3862.91</td>\n",
       "      <td>4612.25</td>\n",
       "      <td>5788.41</td>\n",
       "      <td>5643.22</td>\n",
       "      <td>5586.55</td>\n",
       "      <td>4413.94</td>\n",
       "      <td>3406.12</td>\n",
       "      <td>1781.55</td>\n",
       "      <td>4351.73</td>\n",
       "      <td>2362.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3317.67</td>\n",
       "      <td>3102.11</td>\n",
       "      <td>2427.92</td>\n",
       "      <td>2795.28</td>\n",
       "      <td>4907.12</td>\n",
       "      <td>2849.62</td>\n",
       "      <td>3223.3</td>\n",
       "      <td>3388.59</td>\n",
       "      <td>5411.5</td>\n",
       "      <td>2997.44</td>\n",
       "      <td>...</td>\n",
       "      <td>3829.41</td>\n",
       "      <td>4678.56</td>\n",
       "      <td>5824.77</td>\n",
       "      <td>5771.7</td>\n",
       "      <td>5560.34</td>\n",
       "      <td>4425.2</td>\n",
       "      <td>3445.58</td>\n",
       "      <td>1810.22</td>\n",
       "      <td>4446.7</td>\n",
       "      <td>2385.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3241.17</td>\n",
       "      <td>3101.25</td>\n",
       "      <td>2415.92</td>\n",
       "      <td>3016.23</td>\n",
       "      <td>4912.05</td>\n",
       "      <td>2826.61</td>\n",
       "      <td>3304.66</td>\n",
       "      <td>3374.2</td>\n",
       "      <td>5311.45</td>\n",
       "      <td>2887.19</td>\n",
       "      <td>...</td>\n",
       "      <td>3836.98</td>\n",
       "      <td>4692.09</td>\n",
       "      <td>5876.28</td>\n",
       "      <td>5579.28</td>\n",
       "      <td>5551.61</td>\n",
       "      <td>4392.59</td>\n",
       "      <td>3513.59</td>\n",
       "      <td>1759.89</td>\n",
       "      <td>4419.91</td>\n",
       "      <td>2435.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3338</td>\n",
       "      <td>3097.16</td>\n",
       "      <td>2494.84</td>\n",
       "      <td>2972.91</td>\n",
       "      <td>4920.06</td>\n",
       "      <td>2784.23</td>\n",
       "      <td>3207.14</td>\n",
       "      <td>3377.03</td>\n",
       "      <td>5390.67</td>\n",
       "      <td>2986.03</td>\n",
       "      <td>...</td>\n",
       "      <td>3795.08</td>\n",
       "      <td>4730.14</td>\n",
       "      <td>5846.86</td>\n",
       "      <td>5736.72</td>\n",
       "      <td>5550.52</td>\n",
       "      <td>4493</td>\n",
       "      <td>3443.89</td>\n",
       "      <td>1778.42</td>\n",
       "      <td>4345.33</td>\n",
       "      <td>2354.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3299.8</td>\n",
       "      <td>3044.36</td>\n",
       "      <td>2476.91</td>\n",
       "      <td>2928.53</td>\n",
       "      <td>4933.02</td>\n",
       "      <td>2865.09</td>\n",
       "      <td>3304.38</td>\n",
       "      <td>3327.16</td>\n",
       "      <td>5329.2</td>\n",
       "      <td>2948.33</td>\n",
       "      <td>...</td>\n",
       "      <td>3829.05</td>\n",
       "      <td>4604.89</td>\n",
       "      <td>5797</td>\n",
       "      <td>5630.05</td>\n",
       "      <td>5447.58</td>\n",
       "      <td>4457.22</td>\n",
       "      <td>3497.83</td>\n",
       "      <td>1770.92</td>\n",
       "      <td>4295.36</td>\n",
       "      <td>2378.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3325.83</td>\n",
       "      <td>3050.14</td>\n",
       "      <td>2383.14</td>\n",
       "      <td>2947.09</td>\n",
       "      <td>4908.14</td>\n",
       "      <td>2871.94</td>\n",
       "      <td>3288.91</td>\n",
       "      <td>3357.89</td>\n",
       "      <td>5259.8</td>\n",
       "      <td>2973.28</td>\n",
       "      <td>...</td>\n",
       "      <td>3656.78</td>\n",
       "      <td>4662.17</td>\n",
       "      <td>5798.3</td>\n",
       "      <td>5586.14</td>\n",
       "      <td>5581.98</td>\n",
       "      <td>4368.67</td>\n",
       "      <td>3472.66</td>\n",
       "      <td>1775.23</td>\n",
       "      <td>4335.33</td>\n",
       "      <td>2375.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3340.25</td>\n",
       "      <td>3087.33</td>\n",
       "      <td>2474.12</td>\n",
       "      <td>2968.22</td>\n",
       "      <td>4921.11</td>\n",
       "      <td>2849.53</td>\n",
       "      <td>3216.8</td>\n",
       "      <td>3413.56</td>\n",
       "      <td>5326.31</td>\n",
       "      <td>2933.59</td>\n",
       "      <td>...</td>\n",
       "      <td>3839.33</td>\n",
       "      <td>4682.06</td>\n",
       "      <td>5799.28</td>\n",
       "      <td>5684.56</td>\n",
       "      <td>5485.91</td>\n",
       "      <td>4404.3</td>\n",
       "      <td>3507.14</td>\n",
       "      <td>1784.56</td>\n",
       "      <td>4362.38</td>\n",
       "      <td>2368.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3299</td>\n",
       "      <td>3078.98</td>\n",
       "      <td>2489.78</td>\n",
       "      <td>2770.59</td>\n",
       "      <td>4973.69</td>\n",
       "      <td>2839.33</td>\n",
       "      <td>3321.03</td>\n",
       "      <td>3412.25</td>\n",
       "      <td>5321.61</td>\n",
       "      <td>2970.56</td>\n",
       "      <td>...</td>\n",
       "      <td>3838.77</td>\n",
       "      <td>4713.8</td>\n",
       "      <td>5737.72</td>\n",
       "      <td>5638.61</td>\n",
       "      <td>5574.2</td>\n",
       "      <td>4494.41</td>\n",
       "      <td>3454.95</td>\n",
       "      <td>1797.56</td>\n",
       "      <td>4271.88</td>\n",
       "      <td>2348.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3331.98</td>\n",
       "      <td>3102.88</td>\n",
       "      <td>2425.47</td>\n",
       "      <td>3020.41</td>\n",
       "      <td>5003.33</td>\n",
       "      <td>2904.59</td>\n",
       "      <td>3295.17</td>\n",
       "      <td>3369.61</td>\n",
       "      <td>5353.94</td>\n",
       "      <td>2950.34</td>\n",
       "      <td>...</td>\n",
       "      <td>3827.19</td>\n",
       "      <td>4739.84</td>\n",
       "      <td>5805.67</td>\n",
       "      <td>5704.11</td>\n",
       "      <td>5522.52</td>\n",
       "      <td>4438.34</td>\n",
       "      <td>3520.81</td>\n",
       "      <td>1756.31</td>\n",
       "      <td>4366.41</td>\n",
       "      <td>2403.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3355.48</td>\n",
       "      <td>3044.28</td>\n",
       "      <td>2444.84</td>\n",
       "      <td>2966.8</td>\n",
       "      <td>4877.06</td>\n",
       "      <td>2862.28</td>\n",
       "      <td>3327.75</td>\n",
       "      <td>3444.5</td>\n",
       "      <td>5337.81</td>\n",
       "      <td>3021.14</td>\n",
       "      <td>...</td>\n",
       "      <td>3784.75</td>\n",
       "      <td>4737.03</td>\n",
       "      <td>5827.61</td>\n",
       "      <td>5711.11</td>\n",
       "      <td>5513.91</td>\n",
       "      <td>4411.08</td>\n",
       "      <td>3506.23</td>\n",
       "      <td>1838.97</td>\n",
       "      <td>4377.31</td>\n",
       "      <td>2433.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3272.41</td>\n",
       "      <td>3067.53</td>\n",
       "      <td>2474.44</td>\n",
       "      <td>2959.7</td>\n",
       "      <td>4895.67</td>\n",
       "      <td>2824.86</td>\n",
       "      <td>3320.5</td>\n",
       "      <td>3382.09</td>\n",
       "      <td>5280.64</td>\n",
       "      <td>2945.25</td>\n",
       "      <td>...</td>\n",
       "      <td>3807.34</td>\n",
       "      <td>4811.08</td>\n",
       "      <td>5856.53</td>\n",
       "      <td>5688.38</td>\n",
       "      <td>5538.59</td>\n",
       "      <td>4271.48</td>\n",
       "      <td>3486.41</td>\n",
       "      <td>1756.17</td>\n",
       "      <td>4400.59</td>\n",
       "      <td>2388.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3379.27</td>\n",
       "      <td>3109.45</td>\n",
       "      <td>2516.81</td>\n",
       "      <td>2963.95</td>\n",
       "      <td>4928.72</td>\n",
       "      <td>2834.55</td>\n",
       "      <td>3327.23</td>\n",
       "      <td>3386.88</td>\n",
       "      <td>5348.48</td>\n",
       "      <td>2976.78</td>\n",
       "      <td>...</td>\n",
       "      <td>3789.38</td>\n",
       "      <td>4635.38</td>\n",
       "      <td>5813.78</td>\n",
       "      <td>5627.94</td>\n",
       "      <td>5512.28</td>\n",
       "      <td>4365.84</td>\n",
       "      <td>3468.66</td>\n",
       "      <td>1753.02</td>\n",
       "      <td>4315.59</td>\n",
       "      <td>2427.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3347.05</td>\n",
       "      <td>3084.5</td>\n",
       "      <td>2442.45</td>\n",
       "      <td>3031.42</td>\n",
       "      <td>4852.75</td>\n",
       "      <td>2778.09</td>\n",
       "      <td>3295.67</td>\n",
       "      <td>3399.09</td>\n",
       "      <td>5320.61</td>\n",
       "      <td>3048.64</td>\n",
       "      <td>...</td>\n",
       "      <td>3835.09</td>\n",
       "      <td>4716.81</td>\n",
       "      <td>5807.36</td>\n",
       "      <td>5638.81</td>\n",
       "      <td>5479.19</td>\n",
       "      <td>4298.88</td>\n",
       "      <td>3479.3</td>\n",
       "      <td>1796.97</td>\n",
       "      <td>4323.8</td>\n",
       "      <td>2456.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3345.8</td>\n",
       "      <td>3115.77</td>\n",
       "      <td>2460.69</td>\n",
       "      <td>3018.09</td>\n",
       "      <td>4983.19</td>\n",
       "      <td>2888.56</td>\n",
       "      <td>3333.58</td>\n",
       "      <td>3381.84</td>\n",
       "      <td>5324.67</td>\n",
       "      <td>3029.91</td>\n",
       "      <td>...</td>\n",
       "      <td>3815.75</td>\n",
       "      <td>4650.48</td>\n",
       "      <td>5772.34</td>\n",
       "      <td>5619.16</td>\n",
       "      <td>5526</td>\n",
       "      <td>4359.88</td>\n",
       "      <td>3460.75</td>\n",
       "      <td>1788.33</td>\n",
       "      <td>4338.69</td>\n",
       "      <td>2437.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3353.67</td>\n",
       "      <td>3088.55</td>\n",
       "      <td>2472.42</td>\n",
       "      <td>2971.59</td>\n",
       "      <td>4976.56</td>\n",
       "      <td>2884.53</td>\n",
       "      <td>3272.44</td>\n",
       "      <td>3428.38</td>\n",
       "      <td>5317.47</td>\n",
       "      <td>3061.44</td>\n",
       "      <td>...</td>\n",
       "      <td>3846.73</td>\n",
       "      <td>4706.03</td>\n",
       "      <td>5817.8</td>\n",
       "      <td>5675.34</td>\n",
       "      <td>5474.27</td>\n",
       "      <td>4394.23</td>\n",
       "      <td>3571.95</td>\n",
       "      <td>1827.8</td>\n",
       "      <td>4429.05</td>\n",
       "      <td>2468.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>3327.08</td>\n",
       "      <td>3103.45</td>\n",
       "      <td>2508.31</td>\n",
       "      <td>2761.42</td>\n",
       "      <td>4971.59</td>\n",
       "      <td>2870.91</td>\n",
       "      <td>3328.97</td>\n",
       "      <td>3433.3</td>\n",
       "      <td>5380.77</td>\n",
       "      <td>3008.78</td>\n",
       "      <td>...</td>\n",
       "      <td>3850.81</td>\n",
       "      <td>4714.81</td>\n",
       "      <td>5808.61</td>\n",
       "      <td>5654.59</td>\n",
       "      <td>5562.09</td>\n",
       "      <td>4335.91</td>\n",
       "      <td>3528.72</td>\n",
       "      <td>1836.64</td>\n",
       "      <td>4363.11</td>\n",
       "      <td>2478.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3363.45</td>\n",
       "      <td>3134.45</td>\n",
       "      <td>2532.56</td>\n",
       "      <td>2860.16</td>\n",
       "      <td>4954.56</td>\n",
       "      <td>2894.73</td>\n",
       "      <td>3351.77</td>\n",
       "      <td>3436.69</td>\n",
       "      <td>5320.27</td>\n",
       "      <td>3025.38</td>\n",
       "      <td>...</td>\n",
       "      <td>3867</td>\n",
       "      <td>4668.2</td>\n",
       "      <td>5815.58</td>\n",
       "      <td>5691.5</td>\n",
       "      <td>5580.69</td>\n",
       "      <td>4406.73</td>\n",
       "      <td>3521.61</td>\n",
       "      <td>1790.14</td>\n",
       "      <td>4344.34</td>\n",
       "      <td>2478.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3312.62</td>\n",
       "      <td>3101.95</td>\n",
       "      <td>2563</td>\n",
       "      <td>2776.64</td>\n",
       "      <td>4938.06</td>\n",
       "      <td>2850.89</td>\n",
       "      <td>3289.48</td>\n",
       "      <td>3449.69</td>\n",
       "      <td>5288.81</td>\n",
       "      <td>3030.39</td>\n",
       "      <td>...</td>\n",
       "      <td>3823.41</td>\n",
       "      <td>4809.78</td>\n",
       "      <td>5758.86</td>\n",
       "      <td>5694.09</td>\n",
       "      <td>5549.64</td>\n",
       "      <td>4326.81</td>\n",
       "      <td>3503.02</td>\n",
       "      <td></td>\n",
       "      <td>4322.33</td>\n",
       "      <td>2418.53</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>565 rows × 75 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           0        2        5        7        9       10       11       12  \\\n",
       "0    3359.28  3080.86   2391.3  2803.06  4927.27  2828.67     3265  3403.33   \n",
       "1    3313.28  3088.81  2406.34  2780.83  4875.14  2917.92  3303.91   3349.7   \n",
       "2    3303.19  3050.16  2402.36  2941.41  4949.64  2792.97  3275.75  3343.59   \n",
       "3    3282.47   3089.7  2313.48  2745.59  4823.44  2838.48  3232.81  3375.48   \n",
       "4    3296.11  3037.14  2399.73  2793.17  4883.47  2854.14  3207.59  3253.86   \n",
       "5    3343.58   3075.2  2417.83  2942.88   4930.8  2858.06  3243.05  3387.81   \n",
       "6    3362.86  3067.03  2397.66  3004.67  4950.77  2840.53  3183.97  3337.88   \n",
       "7    3394.67  3060.58  2452.72  3325.09     4933  2880.27  3260.89  3395.34   \n",
       "8    3313.97  3088.39   2463.7  2923.83  4953.88  2907.25  3224.94  3353.06   \n",
       "9    3341.69  3077.86  2412.12  2783.58  4901.06  2820.33  3277.41  3339.94   \n",
       "10   3347.41  3083.23   2442.3  2765.45  4842.62  2836.02  3226.89  3386.92   \n",
       "11   3336.28  3114.83  2449.73  2988.25  4903.45  2862.02  3236.14  3332.91   \n",
       "12   3297.02  3098.28  2436.61   2982.2  4933.09  2837.11  3270.17  3379.34   \n",
       "13   3317.67  3102.11  2427.92  2795.28  4907.12  2849.62   3223.3  3388.59   \n",
       "14   3241.17  3101.25  2415.92  3016.23  4912.05  2826.61  3304.66   3374.2   \n",
       "15      3338  3097.16  2494.84  2972.91  4920.06  2784.23  3207.14  3377.03   \n",
       "16    3299.8  3044.36  2476.91  2928.53  4933.02  2865.09  3304.38  3327.16   \n",
       "17   3325.83  3050.14  2383.14  2947.09  4908.14  2871.94  3288.91  3357.89   \n",
       "18   3340.25  3087.33  2474.12  2968.22  4921.11  2849.53   3216.8  3413.56   \n",
       "19      3299  3078.98  2489.78  2770.59  4973.69  2839.33  3321.03  3412.25   \n",
       "20   3331.98  3102.88  2425.47  3020.41  5003.33  2904.59  3295.17  3369.61   \n",
       "21   3355.48  3044.28  2444.84   2966.8  4877.06  2862.28  3327.75   3444.5   \n",
       "22   3272.41  3067.53  2474.44   2959.7  4895.67  2824.86   3320.5  3382.09   \n",
       "23   3379.27  3109.45  2516.81  2963.95  4928.72  2834.55  3327.23  3386.88   \n",
       "24   3347.05   3084.5  2442.45  3031.42  4852.75  2778.09  3295.67  3399.09   \n",
       "25    3345.8  3115.77  2460.69  3018.09  4983.19  2888.56  3333.58  3381.84   \n",
       "26   3353.67  3088.55  2472.42  2971.59  4976.56  2884.53  3272.44  3428.38   \n",
       "27   3327.08  3103.45  2508.31  2761.42  4971.59  2870.91  3328.97   3433.3   \n",
       "28   3363.45  3134.45  2532.56  2860.16  4954.56  2894.73  3351.77  3436.69   \n",
       "29   3312.62  3101.95     2563  2776.64  4938.06  2850.89  3289.48  3449.69   \n",
       "..       ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "535                                                                           \n",
       "536                                                                           \n",
       "537                                                                           \n",
       "538                                                                           \n",
       "539                                                                           \n",
       "540                                                                           \n",
       "541                                                                           \n",
       "542                                                                           \n",
       "543                                                                           \n",
       "544                                                                           \n",
       "545                                                                           \n",
       "546                                                                           \n",
       "547                                                                           \n",
       "548                                                                           \n",
       "549                                                                           \n",
       "550                                                                           \n",
       "551                                                                           \n",
       "552                                                                           \n",
       "553                                                                           \n",
       "554                                                                           \n",
       "555                                                                           \n",
       "556                                                                           \n",
       "557                                                                           \n",
       "558                                                                           \n",
       "559                                                                           \n",
       "560                                                                           \n",
       "561                                                                           \n",
       "562                                                                           \n",
       "563                                                                           \n",
       "564                                                                           \n",
       "\n",
       "          14       16   ...          80       81       82       83       84  \\\n",
       "0    5347.77  2886.45   ...     3770.58  4717.67  5766.52  5589.25   5470.8   \n",
       "1     5343.3  2919.84   ...     3769.05  4752.53  5814.02  5608.86  5516.06   \n",
       "2    5349.28  2914.84   ...     3748.19  4579.59     5799   5652.5  5496.89   \n",
       "3    5263.67  2938.03   ...     3824.16  4598.42  5720.33  5676.92  5502.16   \n",
       "4    5328.64  2926.66   ...     3799.75  4563.42  5717.08  5681.09  5460.45   \n",
       "5    5282.92  2894.36   ...     3707.66  4668.11  5760.34  5608.14   5508.3   \n",
       "6    5276.44  2946.02   ...     3719.77  4655.83  5879.83  5639.27  5482.67   \n",
       "7    5308.75  2933.89   ...     3805.41  4656.78  5829.92  5707.42  5574.16   \n",
       "8    5305.62  2926.19   ...      3735.8  4570.34  5760.31  5737.64  5435.91   \n",
       "9     5336.2  2938.89   ...     3754.19  4607.33  5836.91  5646.05  5527.97   \n",
       "10   5297.69  2965.88   ...     3798.59  4598.42  5826.22  5622.73  5536.44   \n",
       "11   5298.27   2977.7   ...     3812.98  4651.56  5756.23  5653.09  5450.92   \n",
       "12   5303.48  2913.33   ...     3862.91  4612.25  5788.41  5643.22  5586.55   \n",
       "13    5411.5  2997.44   ...     3829.41  4678.56  5824.77   5771.7  5560.34   \n",
       "14   5311.45  2887.19   ...     3836.98  4692.09  5876.28  5579.28  5551.61   \n",
       "15   5390.67  2986.03   ...     3795.08  4730.14  5846.86  5736.72  5550.52   \n",
       "16    5329.2  2948.33   ...     3829.05  4604.89     5797  5630.05  5447.58   \n",
       "17    5259.8  2973.28   ...     3656.78  4662.17   5798.3  5586.14  5581.98   \n",
       "18   5326.31  2933.59   ...     3839.33  4682.06  5799.28  5684.56  5485.91   \n",
       "19   5321.61  2970.56   ...     3838.77   4713.8  5737.72  5638.61   5574.2   \n",
       "20   5353.94  2950.34   ...     3827.19  4739.84  5805.67  5704.11  5522.52   \n",
       "21   5337.81  3021.14   ...     3784.75  4737.03  5827.61  5711.11  5513.91   \n",
       "22   5280.64  2945.25   ...     3807.34  4811.08  5856.53  5688.38  5538.59   \n",
       "23   5348.48  2976.78   ...     3789.38  4635.38  5813.78  5627.94  5512.28   \n",
       "24   5320.61  3048.64   ...     3835.09  4716.81  5807.36  5638.81  5479.19   \n",
       "25   5324.67  3029.91   ...     3815.75  4650.48  5772.34  5619.16     5526   \n",
       "26   5317.47  3061.44   ...     3846.73  4706.03   5817.8  5675.34  5474.27   \n",
       "27   5380.77  3008.78   ...     3850.81  4714.81  5808.61  5654.59  5562.09   \n",
       "28   5320.27  3025.38   ...        3867   4668.2  5815.58   5691.5  5580.69   \n",
       "29   5288.81  3030.39   ...     3823.41  4809.78  5758.86  5694.09  5549.64   \n",
       "..       ...      ...   ...         ...      ...      ...      ...      ...   \n",
       "535                     ...                                                   \n",
       "536                     ...                                                   \n",
       "537                     ...                                                   \n",
       "538                     ...                                                   \n",
       "539                     ...                                                   \n",
       "540                     ...                                                   \n",
       "541                     ...                                                   \n",
       "542                     ...                                                   \n",
       "543                     ...                                                   \n",
       "544                     ...                                                   \n",
       "545                     ...                                                   \n",
       "546                     ...                                                   \n",
       "547                     ...                                                   \n",
       "548                     ...                                                   \n",
       "549                     ...                                                   \n",
       "550                     ...                                                   \n",
       "551                     ...                                                   \n",
       "552                     ...                                                   \n",
       "553                     ...                                                   \n",
       "554                     ...                                                   \n",
       "555                     ...                                                   \n",
       "556                     ...                                                   \n",
       "557                     ...                                                   \n",
       "558                     ...                                                   \n",
       "559                     ...                                                   \n",
       "560                     ...                                                   \n",
       "561                     ...                                                   \n",
       "562                     ...                                                   \n",
       "563                     ...                                                   \n",
       "564                     ...                                                   \n",
       "\n",
       "          87       88       91       92       94  \n",
       "0    4318.98  3400.84   1817.2   4371.8  2371.92  \n",
       "1    4440.72  3423.98  1819.88  4363.56   2335.2  \n",
       "2    4415.25  3376.91  1772.47  4374.53  2368.16  \n",
       "3    4400.56  3408.22   1814.3  4348.52  2299.98  \n",
       "4    4288.66  3457.62  1800.78  4290.45  2378.41  \n",
       "5    4423.75  3398.67  1752.06  4357.72  2352.78  \n",
       "6    4385.06  3406.73  1794.64  4354.83  2328.09  \n",
       "7    4468.55  3419.47  1810.12  4294.42  2293.08  \n",
       "8    4413.17  3411.59  1785.25  4313.98  2294.66  \n",
       "9    4383.98  3448.48  1760.98  4409.38   2397.2  \n",
       "10   4453.94   3439.7  1750.89  4265.75     2369  \n",
       "11   4399.38  3464.39  1768.95  4333.89  2331.23  \n",
       "12   4413.94  3406.12  1781.55  4351.73  2362.61  \n",
       "13    4425.2  3445.58  1810.22   4446.7  2385.89  \n",
       "14   4392.59  3513.59  1759.89  4419.91   2435.2  \n",
       "15      4493  3443.89  1778.42  4345.33  2354.67  \n",
       "16   4457.22  3497.83  1770.92  4295.36  2378.97  \n",
       "17   4368.67  3472.66  1775.23  4335.33  2375.44  \n",
       "18    4404.3  3507.14  1784.56  4362.38  2368.59  \n",
       "19   4494.41  3454.95  1797.56  4271.88  2348.86  \n",
       "20   4438.34  3520.81  1756.31  4366.41  2403.83  \n",
       "21   4411.08  3506.23  1838.97  4377.31   2433.7  \n",
       "22   4271.48  3486.41  1756.17  4400.59  2388.02  \n",
       "23   4365.84  3468.66  1753.02  4315.59  2427.59  \n",
       "24   4298.88   3479.3  1796.97   4323.8  2456.14  \n",
       "25   4359.88  3460.75  1788.33  4338.69   2437.3  \n",
       "26   4394.23  3571.95   1827.8  4429.05  2468.03  \n",
       "27   4335.91  3528.72  1836.64  4363.11  2478.83  \n",
       "28   4406.73  3521.61  1790.14  4344.34  2478.94  \n",
       "29   4326.81  3503.02           4322.33  2418.53  \n",
       "..       ...      ...      ...      ...      ...  \n",
       "535                                               \n",
       "536                                               \n",
       "537                                               \n",
       "538                                               \n",
       "539                                               \n",
       "540                                               \n",
       "541                                               \n",
       "542                                               \n",
       "543                                               \n",
       "544                                               \n",
       "545                                               \n",
       "546                                               \n",
       "547                                               \n",
       "548                                               \n",
       "549                                               \n",
       "550                                               \n",
       "551                                               \n",
       "552                                               \n",
       "553                                               \n",
       "554                                               \n",
       "555                                               \n",
       "556                                               \n",
       "557                                               \n",
       "558                                               \n",
       "559                                               \n",
       "560                                               \n",
       "561                                               \n",
       "562                                               \n",
       "563                                               \n",
       "564                                               \n",
       "\n",
       "[565 rows x 75 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df\\"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>0</th>\n",
       "      <th>2</th>\n",
       "      <th>5</th>\n",
       "      <th>7</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>14</th>\n",
       "      <th>16</th>\n",
       "      <th>...</th>\n",
       "      <th>80</th>\n",
       "      <th>81</th>\n",
       "      <th>82</th>\n",
       "      <th>83</th>\n",
       "      <th>84</th>\n",
       "      <th>87</th>\n",
       "      <th>88</th>\n",
       "      <th>91</th>\n",
       "      <th>92</th>\n",
       "      <th>94</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3359.28</td>\n",
       "      <td>3080.86</td>\n",
       "      <td>2391.3</td>\n",
       "      <td>2803.06</td>\n",
       "      <td>4927.27</td>\n",
       "      <td>2828.67</td>\n",
       "      <td>3265</td>\n",
       "      <td>3403.33</td>\n",
       "      <td>5347.77</td>\n",
       "      <td>2886.45</td>\n",
       "      <td>...</td>\n",
       "      <td>3770.58</td>\n",
       "      <td>4717.67</td>\n",
       "      <td>5766.52</td>\n",
       "      <td>5589.25</td>\n",
       "      <td>5470.8</td>\n",
       "      <td>4318.98</td>\n",
       "      <td>3400.84</td>\n",
       "      <td>1817.2</td>\n",
       "      <td>4371.8</td>\n",
       "      <td>2371.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3313.28</td>\n",
       "      <td>3088.81</td>\n",
       "      <td>2406.34</td>\n",
       "      <td>2780.83</td>\n",
       "      <td>4875.14</td>\n",
       "      <td>2917.92</td>\n",
       "      <td>3303.91</td>\n",
       "      <td>3349.7</td>\n",
       "      <td>5343.3</td>\n",
       "      <td>2919.84</td>\n",
       "      <td>...</td>\n",
       "      <td>3769.05</td>\n",
       "      <td>4752.53</td>\n",
       "      <td>5814.02</td>\n",
       "      <td>5608.86</td>\n",
       "      <td>5516.06</td>\n",
       "      <td>4440.72</td>\n",
       "      <td>3423.98</td>\n",
       "      <td>1819.88</td>\n",
       "      <td>4363.56</td>\n",
       "      <td>2335.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3303.19</td>\n",
       "      <td>3050.16</td>\n",
       "      <td>2402.36</td>\n",
       "      <td>2941.41</td>\n",
       "      <td>4949.64</td>\n",
       "      <td>2792.97</td>\n",
       "      <td>3275.75</td>\n",
       "      <td>3343.59</td>\n",
       "      <td>5349.28</td>\n",
       "      <td>2914.84</td>\n",
       "      <td>...</td>\n",
       "      <td>3748.19</td>\n",
       "      <td>4579.59</td>\n",
       "      <td>5799</td>\n",
       "      <td>5652.5</td>\n",
       "      <td>5496.89</td>\n",
       "      <td>4415.25</td>\n",
       "      <td>3376.91</td>\n",
       "      <td>1772.47</td>\n",
       "      <td>4374.53</td>\n",
       "      <td>2368.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3282.47</td>\n",
       "      <td>3089.7</td>\n",
       "      <td>2313.48</td>\n",
       "      <td>2745.59</td>\n",
       "      <td>4823.44</td>\n",
       "      <td>2838.48</td>\n",
       "      <td>3232.81</td>\n",
       "      <td>3375.48</td>\n",
       "      <td>5263.67</td>\n",
       "      <td>2938.03</td>\n",
       "      <td>...</td>\n",
       "      <td>3824.16</td>\n",
       "      <td>4598.42</td>\n",
       "      <td>5720.33</td>\n",
       "      <td>5676.92</td>\n",
       "      <td>5502.16</td>\n",
       "      <td>4400.56</td>\n",
       "      <td>3408.22</td>\n",
       "      <td>1814.3</td>\n",
       "      <td>4348.52</td>\n",
       "      <td>2299.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3296.11</td>\n",
       "      <td>3037.14</td>\n",
       "      <td>2399.73</td>\n",
       "      <td>2793.17</td>\n",
       "      <td>4883.47</td>\n",
       "      <td>2854.14</td>\n",
       "      <td>3207.59</td>\n",
       "      <td>3253.86</td>\n",
       "      <td>5328.64</td>\n",
       "      <td>2926.66</td>\n",
       "      <td>...</td>\n",
       "      <td>3799.75</td>\n",
       "      <td>4563.42</td>\n",
       "      <td>5717.08</td>\n",
       "      <td>5681.09</td>\n",
       "      <td>5460.45</td>\n",
       "      <td>4288.66</td>\n",
       "      <td>3457.62</td>\n",
       "      <td>1800.78</td>\n",
       "      <td>4290.45</td>\n",
       "      <td>2378.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3343.58</td>\n",
       "      <td>3075.2</td>\n",
       "      <td>2417.83</td>\n",
       "      <td>2942.88</td>\n",
       "      <td>4930.8</td>\n",
       "      <td>2858.06</td>\n",
       "      <td>3243.05</td>\n",
       "      <td>3387.81</td>\n",
       "      <td>5282.92</td>\n",
       "      <td>2894.36</td>\n",
       "      <td>...</td>\n",
       "      <td>3707.66</td>\n",
       "      <td>4668.11</td>\n",
       "      <td>5760.34</td>\n",
       "      <td>5608.14</td>\n",
       "      <td>5508.3</td>\n",
       "      <td>4423.75</td>\n",
       "      <td>3398.67</td>\n",
       "      <td>1752.06</td>\n",
       "      <td>4357.72</td>\n",
       "      <td>2352.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3362.86</td>\n",
       "      <td>3067.03</td>\n",
       "      <td>2397.66</td>\n",
       "      <td>3004.67</td>\n",
       "      <td>4950.77</td>\n",
       "      <td>2840.53</td>\n",
       "      <td>3183.97</td>\n",
       "      <td>3337.88</td>\n",
       "      <td>5276.44</td>\n",
       "      <td>2946.02</td>\n",
       "      <td>...</td>\n",
       "      <td>3719.77</td>\n",
       "      <td>4655.83</td>\n",
       "      <td>5879.83</td>\n",
       "      <td>5639.27</td>\n",
       "      <td>5482.67</td>\n",
       "      <td>4385.06</td>\n",
       "      <td>3406.73</td>\n",
       "      <td>1794.64</td>\n",
       "      <td>4354.83</td>\n",
       "      <td>2328.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3394.67</td>\n",
       "      <td>3060.58</td>\n",
       "      <td>2452.72</td>\n",
       "      <td>3325.09</td>\n",
       "      <td>4933</td>\n",
       "      <td>2880.27</td>\n",
       "      <td>3260.89</td>\n",
       "      <td>3395.34</td>\n",
       "      <td>5308.75</td>\n",
       "      <td>2933.89</td>\n",
       "      <td>...</td>\n",
       "      <td>3805.41</td>\n",
       "      <td>4656.78</td>\n",
       "      <td>5829.92</td>\n",
       "      <td>5707.42</td>\n",
       "      <td>5574.16</td>\n",
       "      <td>4468.55</td>\n",
       "      <td>3419.47</td>\n",
       "      <td>1810.12</td>\n",
       "      <td>4294.42</td>\n",
       "      <td>2293.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3313.97</td>\n",
       "      <td>3088.39</td>\n",
       "      <td>2463.7</td>\n",
       "      <td>2923.83</td>\n",
       "      <td>4953.88</td>\n",
       "      <td>2907.25</td>\n",
       "      <td>3224.94</td>\n",
       "      <td>3353.06</td>\n",
       "      <td>5305.62</td>\n",
       "      <td>2926.19</td>\n",
       "      <td>...</td>\n",
       "      <td>3735.8</td>\n",
       "      <td>4570.34</td>\n",
       "      <td>5760.31</td>\n",
       "      <td>5737.64</td>\n",
       "      <td>5435.91</td>\n",
       "      <td>4413.17</td>\n",
       "      <td>3411.59</td>\n",
       "      <td>1785.25</td>\n",
       "      <td>4313.98</td>\n",
       "      <td>2294.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3341.69</td>\n",
       "      <td>3077.86</td>\n",
       "      <td>2412.12</td>\n",
       "      <td>2783.58</td>\n",
       "      <td>4901.06</td>\n",
       "      <td>2820.33</td>\n",
       "      <td>3277.41</td>\n",
       "      <td>3339.94</td>\n",
       "      <td>5336.2</td>\n",
       "      <td>2938.89</td>\n",
       "      <td>...</td>\n",
       "      <td>3754.19</td>\n",
       "      <td>4607.33</td>\n",
       "      <td>5836.91</td>\n",
       "      <td>5646.05</td>\n",
       "      <td>5527.97</td>\n",
       "      <td>4383.98</td>\n",
       "      <td>3448.48</td>\n",
       "      <td>1760.98</td>\n",
       "      <td>4409.38</td>\n",
       "      <td>2397.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3347.41</td>\n",
       "      <td>3083.23</td>\n",
       "      <td>2442.3</td>\n",
       "      <td>2765.45</td>\n",
       "      <td>4842.62</td>\n",
       "      <td>2836.02</td>\n",
       "      <td>3226.89</td>\n",
       "      <td>3386.92</td>\n",
       "      <td>5297.69</td>\n",
       "      <td>2965.88</td>\n",
       "      <td>...</td>\n",
       "      <td>3798.59</td>\n",
       "      <td>4598.42</td>\n",
       "      <td>5826.22</td>\n",
       "      <td>5622.73</td>\n",
       "      <td>5536.44</td>\n",
       "      <td>4453.94</td>\n",
       "      <td>3439.7</td>\n",
       "      <td>1750.89</td>\n",
       "      <td>4265.75</td>\n",
       "      <td>2369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3336.28</td>\n",
       "      <td>3114.83</td>\n",
       "      <td>2449.73</td>\n",
       "      <td>2988.25</td>\n",
       "      <td>4903.45</td>\n",
       "      <td>2862.02</td>\n",
       "      <td>3236.14</td>\n",
       "      <td>3332.91</td>\n",
       "      <td>5298.27</td>\n",
       "      <td>2977.7</td>\n",
       "      <td>...</td>\n",
       "      <td>3812.98</td>\n",
       "      <td>4651.56</td>\n",
       "      <td>5756.23</td>\n",
       "      <td>5653.09</td>\n",
       "      <td>5450.92</td>\n",
       "      <td>4399.38</td>\n",
       "      <td>3464.39</td>\n",
       "      <td>1768.95</td>\n",
       "      <td>4333.89</td>\n",
       "      <td>2331.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3297.02</td>\n",
       "      <td>3098.28</td>\n",
       "      <td>2436.61</td>\n",
       "      <td>2982.2</td>\n",
       "      <td>4933.09</td>\n",
       "      <td>2837.11</td>\n",
       "      <td>3270.17</td>\n",
       "      <td>3379.34</td>\n",
       "      <td>5303.48</td>\n",
       "      <td>2913.33</td>\n",
       "      <td>...</td>\n",
       "      <td>3862.91</td>\n",
       "      <td>4612.25</td>\n",
       "      <td>5788.41</td>\n",
       "      <td>5643.22</td>\n",
       "      <td>5586.55</td>\n",
       "      <td>4413.94</td>\n",
       "      <td>3406.12</td>\n",
       "      <td>1781.55</td>\n",
       "      <td>4351.73</td>\n",
       "      <td>2362.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3317.67</td>\n",
       "      <td>3102.11</td>\n",
       "      <td>2427.92</td>\n",
       "      <td>2795.28</td>\n",
       "      <td>4907.12</td>\n",
       "      <td>2849.62</td>\n",
       "      <td>3223.3</td>\n",
       "      <td>3388.59</td>\n",
       "      <td>5411.5</td>\n",
       "      <td>2997.44</td>\n",
       "      <td>...</td>\n",
       "      <td>3829.41</td>\n",
       "      <td>4678.56</td>\n",
       "      <td>5824.77</td>\n",
       "      <td>5771.7</td>\n",
       "      <td>5560.34</td>\n",
       "      <td>4425.2</td>\n",
       "      <td>3445.58</td>\n",
       "      <td>1810.22</td>\n",
       "      <td>4446.7</td>\n",
       "      <td>2385.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3241.17</td>\n",
       "      <td>3101.25</td>\n",
       "      <td>2415.92</td>\n",
       "      <td>3016.23</td>\n",
       "      <td>4912.05</td>\n",
       "      <td>2826.61</td>\n",
       "      <td>3304.66</td>\n",
       "      <td>3374.2</td>\n",
       "      <td>5311.45</td>\n",
       "      <td>2887.19</td>\n",
       "      <td>...</td>\n",
       "      <td>3836.98</td>\n",
       "      <td>4692.09</td>\n",
       "      <td>5876.28</td>\n",
       "      <td>5579.28</td>\n",
       "      <td>5551.61</td>\n",
       "      <td>4392.59</td>\n",
       "      <td>3513.59</td>\n",
       "      <td>1759.89</td>\n",
       "      <td>4419.91</td>\n",
       "      <td>2435.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3338</td>\n",
       "      <td>3097.16</td>\n",
       "      <td>2494.84</td>\n",
       "      <td>2972.91</td>\n",
       "      <td>4920.06</td>\n",
       "      <td>2784.23</td>\n",
       "      <td>3207.14</td>\n",
       "      <td>3377.03</td>\n",
       "      <td>5390.67</td>\n",
       "      <td>2986.03</td>\n",
       "      <td>...</td>\n",
       "      <td>3795.08</td>\n",
       "      <td>4730.14</td>\n",
       "      <td>5846.86</td>\n",
       "      <td>5736.72</td>\n",
       "      <td>5550.52</td>\n",
       "      <td>4493</td>\n",
       "      <td>3443.89</td>\n",
       "      <td>1778.42</td>\n",
       "      <td>4345.33</td>\n",
       "      <td>2354.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>3299.8</td>\n",
       "      <td>3044.36</td>\n",
       "      <td>2476.91</td>\n",
       "      <td>2928.53</td>\n",
       "      <td>4933.02</td>\n",
       "      <td>2865.09</td>\n",
       "      <td>3304.38</td>\n",
       "      <td>3327.16</td>\n",
       "      <td>5329.2</td>\n",
       "      <td>2948.33</td>\n",
       "      <td>...</td>\n",
       "      <td>3829.05</td>\n",
       "      <td>4604.89</td>\n",
       "      <td>5797</td>\n",
       "      <td>5630.05</td>\n",
       "      <td>5447.58</td>\n",
       "      <td>4457.22</td>\n",
       "      <td>3497.83</td>\n",
       "      <td>1770.92</td>\n",
       "      <td>4295.36</td>\n",
       "      <td>2378.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3325.83</td>\n",
       "      <td>3050.14</td>\n",
       "      <td>2383.14</td>\n",
       "      <td>2947.09</td>\n",
       "      <td>4908.14</td>\n",
       "      <td>2871.94</td>\n",
       "      <td>3288.91</td>\n",
       "      <td>3357.89</td>\n",
       "      <td>5259.8</td>\n",
       "      <td>2973.28</td>\n",
       "      <td>...</td>\n",
       "      <td>3656.78</td>\n",
       "      <td>4662.17</td>\n",
       "      <td>5798.3</td>\n",
       "      <td>5586.14</td>\n",
       "      <td>5581.98</td>\n",
       "      <td>4368.67</td>\n",
       "      <td>3472.66</td>\n",
       "      <td>1775.23</td>\n",
       "      <td>4335.33</td>\n",
       "      <td>2375.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3340.25</td>\n",
       "      <td>3087.33</td>\n",
       "      <td>2474.12</td>\n",
       "      <td>2968.22</td>\n",
       "      <td>4921.11</td>\n",
       "      <td>2849.53</td>\n",
       "      <td>3216.8</td>\n",
       "      <td>3413.56</td>\n",
       "      <td>5326.31</td>\n",
       "      <td>2933.59</td>\n",
       "      <td>...</td>\n",
       "      <td>3839.33</td>\n",
       "      <td>4682.06</td>\n",
       "      <td>5799.28</td>\n",
       "      <td>5684.56</td>\n",
       "      <td>5485.91</td>\n",
       "      <td>4404.3</td>\n",
       "      <td>3507.14</td>\n",
       "      <td>1784.56</td>\n",
       "      <td>4362.38</td>\n",
       "      <td>2368.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3299</td>\n",
       "      <td>3078.98</td>\n",
       "      <td>2489.78</td>\n",
       "      <td>2770.59</td>\n",
       "      <td>4973.69</td>\n",
       "      <td>2839.33</td>\n",
       "      <td>3321.03</td>\n",
       "      <td>3412.25</td>\n",
       "      <td>5321.61</td>\n",
       "      <td>2970.56</td>\n",
       "      <td>...</td>\n",
       "      <td>3838.77</td>\n",
       "      <td>4713.8</td>\n",
       "      <td>5737.72</td>\n",
       "      <td>5638.61</td>\n",
       "      <td>5574.2</td>\n",
       "      <td>4494.41</td>\n",
       "      <td>3454.95</td>\n",
       "      <td>1797.56</td>\n",
       "      <td>4271.88</td>\n",
       "      <td>2348.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>3331.98</td>\n",
       "      <td>3102.88</td>\n",
       "      <td>2425.47</td>\n",
       "      <td>3020.41</td>\n",
       "      <td>5003.33</td>\n",
       "      <td>2904.59</td>\n",
       "      <td>3295.17</td>\n",
       "      <td>3369.61</td>\n",
       "      <td>5353.94</td>\n",
       "      <td>2950.34</td>\n",
       "      <td>...</td>\n",
       "      <td>3827.19</td>\n",
       "      <td>4739.84</td>\n",
       "      <td>5805.67</td>\n",
       "      <td>5704.11</td>\n",
       "      <td>5522.52</td>\n",
       "      <td>4438.34</td>\n",
       "      <td>3520.81</td>\n",
       "      <td>1756.31</td>\n",
       "      <td>4366.41</td>\n",
       "      <td>2403.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3355.48</td>\n",
       "      <td>3044.28</td>\n",
       "      <td>2444.84</td>\n",
       "      <td>2966.8</td>\n",
       "      <td>4877.06</td>\n",
       "      <td>2862.28</td>\n",
       "      <td>3327.75</td>\n",
       "      <td>3444.5</td>\n",
       "      <td>5337.81</td>\n",
       "      <td>3021.14</td>\n",
       "      <td>...</td>\n",
       "      <td>3784.75</td>\n",
       "      <td>4737.03</td>\n",
       "      <td>5827.61</td>\n",
       "      <td>5711.11</td>\n",
       "      <td>5513.91</td>\n",
       "      <td>4411.08</td>\n",
       "      <td>3506.23</td>\n",
       "      <td>1838.97</td>\n",
       "      <td>4377.31</td>\n",
       "      <td>2433.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3272.41</td>\n",
       "      <td>3067.53</td>\n",
       "      <td>2474.44</td>\n",
       "      <td>2959.7</td>\n",
       "      <td>4895.67</td>\n",
       "      <td>2824.86</td>\n",
       "      <td>3320.5</td>\n",
       "      <td>3382.09</td>\n",
       "      <td>5280.64</td>\n",
       "      <td>2945.25</td>\n",
       "      <td>...</td>\n",
       "      <td>3807.34</td>\n",
       "      <td>4811.08</td>\n",
       "      <td>5856.53</td>\n",
       "      <td>5688.38</td>\n",
       "      <td>5538.59</td>\n",
       "      <td>4271.48</td>\n",
       "      <td>3486.41</td>\n",
       "      <td>1756.17</td>\n",
       "      <td>4400.59</td>\n",
       "      <td>2388.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3379.27</td>\n",
       "      <td>3109.45</td>\n",
       "      <td>2516.81</td>\n",
       "      <td>2963.95</td>\n",
       "      <td>4928.72</td>\n",
       "      <td>2834.55</td>\n",
       "      <td>3327.23</td>\n",
       "      <td>3386.88</td>\n",
       "      <td>5348.48</td>\n",
       "      <td>2976.78</td>\n",
       "      <td>...</td>\n",
       "      <td>3789.38</td>\n",
       "      <td>4635.38</td>\n",
       "      <td>5813.78</td>\n",
       "      <td>5627.94</td>\n",
       "      <td>5512.28</td>\n",
       "      <td>4365.84</td>\n",
       "      <td>3468.66</td>\n",
       "      <td>1753.02</td>\n",
       "      <td>4315.59</td>\n",
       "      <td>2427.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3347.05</td>\n",
       "      <td>3084.5</td>\n",
       "      <td>2442.45</td>\n",
       "      <td>3031.42</td>\n",
       "      <td>4852.75</td>\n",
       "      <td>2778.09</td>\n",
       "      <td>3295.67</td>\n",
       "      <td>3399.09</td>\n",
       "      <td>5320.61</td>\n",
       "      <td>3048.64</td>\n",
       "      <td>...</td>\n",
       "      <td>3835.09</td>\n",
       "      <td>4716.81</td>\n",
       "      <td>5807.36</td>\n",
       "      <td>5638.81</td>\n",
       "      <td>5479.19</td>\n",
       "      <td>4298.88</td>\n",
       "      <td>3479.3</td>\n",
       "      <td>1796.97</td>\n",
       "      <td>4323.8</td>\n",
       "      <td>2456.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3345.8</td>\n",
       "      <td>3115.77</td>\n",
       "      <td>2460.69</td>\n",
       "      <td>3018.09</td>\n",
       "      <td>4983.19</td>\n",
       "      <td>2888.56</td>\n",
       "      <td>3333.58</td>\n",
       "      <td>3381.84</td>\n",
       "      <td>5324.67</td>\n",
       "      <td>3029.91</td>\n",
       "      <td>...</td>\n",
       "      <td>3815.75</td>\n",
       "      <td>4650.48</td>\n",
       "      <td>5772.34</td>\n",
       "      <td>5619.16</td>\n",
       "      <td>5526</td>\n",
       "      <td>4359.88</td>\n",
       "      <td>3460.75</td>\n",
       "      <td>1788.33</td>\n",
       "      <td>4338.69</td>\n",
       "      <td>2437.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3353.67</td>\n",
       "      <td>3088.55</td>\n",
       "      <td>2472.42</td>\n",
       "      <td>2971.59</td>\n",
       "      <td>4976.56</td>\n",
       "      <td>2884.53</td>\n",
       "      <td>3272.44</td>\n",
       "      <td>3428.38</td>\n",
       "      <td>5317.47</td>\n",
       "      <td>3061.44</td>\n",
       "      <td>...</td>\n",
       "      <td>3846.73</td>\n",
       "      <td>4706.03</td>\n",
       "      <td>5817.8</td>\n",
       "      <td>5675.34</td>\n",
       "      <td>5474.27</td>\n",
       "      <td>4394.23</td>\n",
       "      <td>3571.95</td>\n",
       "      <td>1827.8</td>\n",
       "      <td>4429.05</td>\n",
       "      <td>2468.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>3327.08</td>\n",
       "      <td>3103.45</td>\n",
       "      <td>2508.31</td>\n",
       "      <td>2761.42</td>\n",
       "      <td>4971.59</td>\n",
       "      <td>2870.91</td>\n",
       "      <td>3328.97</td>\n",
       "      <td>3433.3</td>\n",
       "      <td>5380.77</td>\n",
       "      <td>3008.78</td>\n",
       "      <td>...</td>\n",
       "      <td>3850.81</td>\n",
       "      <td>4714.81</td>\n",
       "      <td>5808.61</td>\n",
       "      <td>5654.59</td>\n",
       "      <td>5562.09</td>\n",
       "      <td>4335.91</td>\n",
       "      <td>3528.72</td>\n",
       "      <td>1836.64</td>\n",
       "      <td>4363.11</td>\n",
       "      <td>2478.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3363.45</td>\n",
       "      <td>3134.45</td>\n",
       "      <td>2532.56</td>\n",
       "      <td>2860.16</td>\n",
       "      <td>4954.56</td>\n",
       "      <td>2894.73</td>\n",
       "      <td>3351.77</td>\n",
       "      <td>3436.69</td>\n",
       "      <td>5320.27</td>\n",
       "      <td>3025.38</td>\n",
       "      <td>...</td>\n",
       "      <td>3867</td>\n",
       "      <td>4668.2</td>\n",
       "      <td>5815.58</td>\n",
       "      <td>5691.5</td>\n",
       "      <td>5580.69</td>\n",
       "      <td>4406.73</td>\n",
       "      <td>3521.61</td>\n",
       "      <td>1790.14</td>\n",
       "      <td>4344.34</td>\n",
       "      <td>2478.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3312.62</td>\n",
       "      <td>3101.95</td>\n",
       "      <td>2563</td>\n",
       "      <td>2776.64</td>\n",
       "      <td>4938.06</td>\n",
       "      <td>2850.89</td>\n",
       "      <td>3289.48</td>\n",
       "      <td>3449.69</td>\n",
       "      <td>5288.81</td>\n",
       "      <td>3030.39</td>\n",
       "      <td>...</td>\n",
       "      <td>3823.41</td>\n",
       "      <td>4809.78</td>\n",
       "      <td>5758.86</td>\n",
       "      <td>5694.09</td>\n",
       "      <td>5549.64</td>\n",
       "      <td>4326.81</td>\n",
       "      <td>3503.02</td>\n",
       "      <td></td>\n",
       "      <td>4322.33</td>\n",
       "      <td>2418.53</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>565 rows × 75 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           0        2        5        7        9       10       11       12  \\\n",
       "0    3359.28  3080.86   2391.3  2803.06  4927.27  2828.67     3265  3403.33   \n",
       "1    3313.28  3088.81  2406.34  2780.83  4875.14  2917.92  3303.91   3349.7   \n",
       "2    3303.19  3050.16  2402.36  2941.41  4949.64  2792.97  3275.75  3343.59   \n",
       "3    3282.47   3089.7  2313.48  2745.59  4823.44  2838.48  3232.81  3375.48   \n",
       "4    3296.11  3037.14  2399.73  2793.17  4883.47  2854.14  3207.59  3253.86   \n",
       "5    3343.58   3075.2  2417.83  2942.88   4930.8  2858.06  3243.05  3387.81   \n",
       "6    3362.86  3067.03  2397.66  3004.67  4950.77  2840.53  3183.97  3337.88   \n",
       "7    3394.67  3060.58  2452.72  3325.09     4933  2880.27  3260.89  3395.34   \n",
       "8    3313.97  3088.39   2463.7  2923.83  4953.88  2907.25  3224.94  3353.06   \n",
       "9    3341.69  3077.86  2412.12  2783.58  4901.06  2820.33  3277.41  3339.94   \n",
       "10   3347.41  3083.23   2442.3  2765.45  4842.62  2836.02  3226.89  3386.92   \n",
       "11   3336.28  3114.83  2449.73  2988.25  4903.45  2862.02  3236.14  3332.91   \n",
       "12   3297.02  3098.28  2436.61   2982.2  4933.09  2837.11  3270.17  3379.34   \n",
       "13   3317.67  3102.11  2427.92  2795.28  4907.12  2849.62   3223.3  3388.59   \n",
       "14   3241.17  3101.25  2415.92  3016.23  4912.05  2826.61  3304.66   3374.2   \n",
       "15      3338  3097.16  2494.84  2972.91  4920.06  2784.23  3207.14  3377.03   \n",
       "16    3299.8  3044.36  2476.91  2928.53  4933.02  2865.09  3304.38  3327.16   \n",
       "17   3325.83  3050.14  2383.14  2947.09  4908.14  2871.94  3288.91  3357.89   \n",
       "18   3340.25  3087.33  2474.12  2968.22  4921.11  2849.53   3216.8  3413.56   \n",
       "19      3299  3078.98  2489.78  2770.59  4973.69  2839.33  3321.03  3412.25   \n",
       "20   3331.98  3102.88  2425.47  3020.41  5003.33  2904.59  3295.17  3369.61   \n",
       "21   3355.48  3044.28  2444.84   2966.8  4877.06  2862.28  3327.75   3444.5   \n",
       "22   3272.41  3067.53  2474.44   2959.7  4895.67  2824.86   3320.5  3382.09   \n",
       "23   3379.27  3109.45  2516.81  2963.95  4928.72  2834.55  3327.23  3386.88   \n",
       "24   3347.05   3084.5  2442.45  3031.42  4852.75  2778.09  3295.67  3399.09   \n",
       "25    3345.8  3115.77  2460.69  3018.09  4983.19  2888.56  3333.58  3381.84   \n",
       "26   3353.67  3088.55  2472.42  2971.59  4976.56  2884.53  3272.44  3428.38   \n",
       "27   3327.08  3103.45  2508.31  2761.42  4971.59  2870.91  3328.97   3433.3   \n",
       "28   3363.45  3134.45  2532.56  2860.16  4954.56  2894.73  3351.77  3436.69   \n",
       "29   3312.62  3101.95     2563  2776.64  4938.06  2850.89  3289.48  3449.69   \n",
       "..       ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "535                                                                           \n",
       "536                                                                           \n",
       "537                                                                           \n",
       "538                                                                           \n",
       "539                                                                           \n",
       "540                                                                           \n",
       "541                                                                           \n",
       "542                                                                           \n",
       "543                                                                           \n",
       "544                                                                           \n",
       "545                                                                           \n",
       "546                                                                           \n",
       "547                                                                           \n",
       "548                                                                           \n",
       "549                                                                           \n",
       "550                                                                           \n",
       "551                                                                           \n",
       "552                                                                           \n",
       "553                                                                           \n",
       "554                                                                           \n",
       "555                                                                           \n",
       "556                                                                           \n",
       "557                                                                           \n",
       "558                                                                           \n",
       "559                                                                           \n",
       "560                                                                           \n",
       "561                                                                           \n",
       "562                                                                           \n",
       "563                                                                           \n",
       "564                                                                           \n",
       "\n",
       "          14       16   ...          80       81       82       83       84  \\\n",
       "0    5347.77  2886.45   ...     3770.58  4717.67  5766.52  5589.25   5470.8   \n",
       "1     5343.3  2919.84   ...     3769.05  4752.53  5814.02  5608.86  5516.06   \n",
       "2    5349.28  2914.84   ...     3748.19  4579.59     5799   5652.5  5496.89   \n",
       "3    5263.67  2938.03   ...     3824.16  4598.42  5720.33  5676.92  5502.16   \n",
       "4    5328.64  2926.66   ...     3799.75  4563.42  5717.08  5681.09  5460.45   \n",
       "5    5282.92  2894.36   ...     3707.66  4668.11  5760.34  5608.14   5508.3   \n",
       "6    5276.44  2946.02   ...     3719.77  4655.83  5879.83  5639.27  5482.67   \n",
       "7    5308.75  2933.89   ...     3805.41  4656.78  5829.92  5707.42  5574.16   \n",
       "8    5305.62  2926.19   ...      3735.8  4570.34  5760.31  5737.64  5435.91   \n",
       "9     5336.2  2938.89   ...     3754.19  4607.33  5836.91  5646.05  5527.97   \n",
       "10   5297.69  2965.88   ...     3798.59  4598.42  5826.22  5622.73  5536.44   \n",
       "11   5298.27   2977.7   ...     3812.98  4651.56  5756.23  5653.09  5450.92   \n",
       "12   5303.48  2913.33   ...     3862.91  4612.25  5788.41  5643.22  5586.55   \n",
       "13    5411.5  2997.44   ...     3829.41  4678.56  5824.77   5771.7  5560.34   \n",
       "14   5311.45  2887.19   ...     3836.98  4692.09  5876.28  5579.28  5551.61   \n",
       "15   5390.67  2986.03   ...     3795.08  4730.14  5846.86  5736.72  5550.52   \n",
       "16    5329.2  2948.33   ...     3829.05  4604.89     5797  5630.05  5447.58   \n",
       "17    5259.8  2973.28   ...     3656.78  4662.17   5798.3  5586.14  5581.98   \n",
       "18   5326.31  2933.59   ...     3839.33  4682.06  5799.28  5684.56  5485.91   \n",
       "19   5321.61  2970.56   ...     3838.77   4713.8  5737.72  5638.61   5574.2   \n",
       "20   5353.94  2950.34   ...     3827.19  4739.84  5805.67  5704.11  5522.52   \n",
       "21   5337.81  3021.14   ...     3784.75  4737.03  5827.61  5711.11  5513.91   \n",
       "22   5280.64  2945.25   ...     3807.34  4811.08  5856.53  5688.38  5538.59   \n",
       "23   5348.48  2976.78   ...     3789.38  4635.38  5813.78  5627.94  5512.28   \n",
       "24   5320.61  3048.64   ...     3835.09  4716.81  5807.36  5638.81  5479.19   \n",
       "25   5324.67  3029.91   ...     3815.75  4650.48  5772.34  5619.16     5526   \n",
       "26   5317.47  3061.44   ...     3846.73  4706.03   5817.8  5675.34  5474.27   \n",
       "27   5380.77  3008.78   ...     3850.81  4714.81  5808.61  5654.59  5562.09   \n",
       "28   5320.27  3025.38   ...        3867   4668.2  5815.58   5691.5  5580.69   \n",
       "29   5288.81  3030.39   ...     3823.41  4809.78  5758.86  5694.09  5549.64   \n",
       "..       ...      ...   ...         ...      ...      ...      ...      ...   \n",
       "535                     ...                                                   \n",
       "536                     ...                                                   \n",
       "537                     ...                                                   \n",
       "538                     ...                                                   \n",
       "539                     ...                                                   \n",
       "540                     ...                                                   \n",
       "541                     ...                                                   \n",
       "542                     ...                                                   \n",
       "543                     ...                                                   \n",
       "544                     ...                                                   \n",
       "545                     ...                                                   \n",
       "546                     ...                                                   \n",
       "547                     ...                                                   \n",
       "548                     ...                                                   \n",
       "549                     ...                                                   \n",
       "550                     ...                                                   \n",
       "551                     ...                                                   \n",
       "552                     ...                                                   \n",
       "553                     ...                                                   \n",
       "554                     ...                                                   \n",
       "555                     ...                                                   \n",
       "556                     ...                                                   \n",
       "557                     ...                                                   \n",
       "558                     ...                                                   \n",
       "559                     ...                                                   \n",
       "560                     ...                                                   \n",
       "561                     ...                                                   \n",
       "562                     ...                                                   \n",
       "563                     ...                                                   \n",
       "564                     ...                                                   \n",
       "\n",
       "          87       88       91       92       94  \n",
       "0    4318.98  3400.84   1817.2   4371.8  2371.92  \n",
       "1    4440.72  3423.98  1819.88  4363.56   2335.2  \n",
       "2    4415.25  3376.91  1772.47  4374.53  2368.16  \n",
       "3    4400.56  3408.22   1814.3  4348.52  2299.98  \n",
       "4    4288.66  3457.62  1800.78  4290.45  2378.41  \n",
       "5    4423.75  3398.67  1752.06  4357.72  2352.78  \n",
       "6    4385.06  3406.73  1794.64  4354.83  2328.09  \n",
       "7    4468.55  3419.47  1810.12  4294.42  2293.08  \n",
       "8    4413.17  3411.59  1785.25  4313.98  2294.66  \n",
       "9    4383.98  3448.48  1760.98  4409.38   2397.2  \n",
       "10   4453.94   3439.7  1750.89  4265.75     2369  \n",
       "11   4399.38  3464.39  1768.95  4333.89  2331.23  \n",
       "12   4413.94  3406.12  1781.55  4351.73  2362.61  \n",
       "13    4425.2  3445.58  1810.22   4446.7  2385.89  \n",
       "14   4392.59  3513.59  1759.89  4419.91   2435.2  \n",
       "15      4493  3443.89  1778.42  4345.33  2354.67  \n",
       "16   4457.22  3497.83  1770.92  4295.36  2378.97  \n",
       "17   4368.67  3472.66  1775.23  4335.33  2375.44  \n",
       "18    4404.3  3507.14  1784.56  4362.38  2368.59  \n",
       "19   4494.41  3454.95  1797.56  4271.88  2348.86  \n",
       "20   4438.34  3520.81  1756.31  4366.41  2403.83  \n",
       "21   4411.08  3506.23  1838.97  4377.31   2433.7  \n",
       "22   4271.48  3486.41  1756.17  4400.59  2388.02  \n",
       "23   4365.84  3468.66  1753.02  4315.59  2427.59  \n",
       "24   4298.88   3479.3  1796.97   4323.8  2456.14  \n",
       "25   4359.88  3460.75  1788.33  4338.69   2437.3  \n",
       "26   4394.23  3571.95   1827.8  4429.05  2468.03  \n",
       "27   4335.91  3528.72  1836.64  4363.11  2478.83  \n",
       "28   4406.73  3521.61  1790.14  4344.34  2478.94  \n",
       "29   4326.81  3503.02           4322.33  2418.53  \n",
       "..       ...      ...      ...      ...      ...  \n",
       "535                                               \n",
       "536                                               \n",
       "537                                               \n",
       "538                                               \n",
       "539                                               \n",
       "540                                               \n",
       "541                                               \n",
       "542                                               \n",
       "543                                               \n",
       "544                                               \n",
       "545                                               \n",
       "546                                               \n",
       "547                                               \n",
       "548                                               \n",
       "549                                               \n",
       "550                                               \n",
       "551                                               \n",
       "552                                               \n",
       "553                                               \n",
       "554                                               \n",
       "555                                               \n",
       "556                                               \n",
       "557                                               \n",
       "558                                               \n",
       "559                                               \n",
       "560                                               \n",
       "561                                               \n",
       "562                                               \n",
       "563                                               \n",
       "564                                               \n",
       "\n",
       "[565 rows x 75 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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