From 68d5c09bd7b8e73230f69dfed142ab1aa15c13c4 Mon Sep 17 00:00:00 2001
From: B L A C K F U R Y <93466451+div-hacks@users.noreply.github.com>
Date: Sat, 14 Oct 2023 12:44:51 +0530
Subject: [PATCH] pandas dataframe exercises

---
 pandas/dataframe2.ipynb  |  30 ++
 pandas/dataframes1.ipynb | 976 +++++++++++++++++++++++++++++++++++++++
 2 files changed, 1006 insertions(+)
 create mode 100644 pandas/dataframe2.ipynb
 create mode 100644 pandas/dataframes1.ipynb

diff --git a/pandas/dataframe2.ipynb b/pandas/dataframe2.ipynb
new file mode 100644
index 0000000..6b6ba06
--- /dev/null
+++ b/pandas/dataframe2.ipynb
@@ -0,0 +1,30 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv_algo_bulls",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "name": "python",
+   "version": "3.9.6 (tags/v3.9.6:db3ff76, Jun 28 2021, 15:26:21) [MSC v.1929 64 bit (AMD64)]"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "addff6cb5044c101bf79387aa2799290f36a7993ca657c8e96968a170b3cd553"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/pandas/dataframes1.ipynb b/pandas/dataframes1.ipynb
new file mode 100644
index 0000000..d17c6c3
--- /dev/null
+++ b/pandas/dataframes1.ipynb
@@ -0,0 +1,976 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pandas - DataFrames"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from numpy.random import randn"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.random.seed(101)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(data=randn(5,4), index=['a','b','c','d','e'], columns=['w', 'x', 'y', 'z'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "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>w</th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "      <th>z</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>2.706850</td>\n",
+       "      <td>0.628133</td>\n",
+       "      <td>0.907969</td>\n",
+       "      <td>0.503826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>b</th>\n",
+       "      <td>0.651118</td>\n",
+       "      <td>-0.319318</td>\n",
+       "      <td>-0.848077</td>\n",
+       "      <td>0.605965</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>c</th>\n",
+       "      <td>-2.018168</td>\n",
+       "      <td>0.740122</td>\n",
+       "      <td>0.528813</td>\n",
+       "      <td>-0.589001</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>d</th>\n",
+       "      <td>0.188695</td>\n",
+       "      <td>-0.758872</td>\n",
+       "      <td>-0.933237</td>\n",
+       "      <td>0.955057</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>e</th>\n",
+       "      <td>0.190794</td>\n",
+       "      <td>1.978757</td>\n",
+       "      <td>2.605967</td>\n",
+       "      <td>0.683509</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          w         x         y         z\n",
+       "a  2.706850  0.628133  0.907969  0.503826\n",
+       "b  0.651118 -0.319318 -0.848077  0.605965\n",
+       "c -2.018168  0.740122  0.528813 -0.589001\n",
+       "d  0.188695 -0.758872 -0.933237  0.955057\n",
+       "e  0.190794  1.978757  2.605967  0.683509"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "a    2.706850\n",
+       "b    0.651118\n",
+       "c   -2.018168\n",
+       "d    0.188695\n",
+       "e    0.190794\n",
+       "Name: w, dtype: float64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['w']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "pandas.core.frame.DataFrame"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "a    2.706850\n",
+       "b    0.651118\n",
+       "c   -2.018168\n",
+       "d    0.188695\n",
+       "e    0.190794\n",
+       "Name: w, dtype: float64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.w  # don't use this syntax\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "a    0.628133\n",
+       "b   -0.319318\n",
+       "c    0.740122\n",
+       "d   -0.758872\n",
+       "e    1.978757\n",
+       "Name: x, dtype: float64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['x']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "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>w</th>\n",
+       "      <th>z</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>2.706850</td>\n",
+       "      <td>0.503826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>b</th>\n",
+       "      <td>0.651118</td>\n",
+       "      <td>0.605965</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>c</th>\n",
+       "      <td>-2.018168</td>\n",
+       "      <td>-0.589001</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>d</th>\n",
+       "      <td>0.188695</td>\n",
+       "      <td>0.955057</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>e</th>\n",
+       "      <td>0.190794</td>\n",
+       "      <td>0.683509</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          w         z\n",
+       "a  2.706850  0.503826\n",
+       "b  0.651118  0.605965\n",
+       "c -2.018168 -0.589001\n",
+       "d  0.188695  0.955057\n",
+       "e  0.190794  0.683509"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[['w','z']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['new'] = df['w'] + df['y']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "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>w</th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "      <th>z</th>\n",
+       "      <th>new</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>2.706850</td>\n",
+       "      <td>0.628133</td>\n",
+       "      <td>0.907969</td>\n",
+       "      <td>0.503826</td>\n",
+       "      <td>3.614819</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>b</th>\n",
+       "      <td>0.651118</td>\n",
+       "      <td>-0.319318</td>\n",
+       "      <td>-0.848077</td>\n",
+       "      <td>0.605965</td>\n",
+       "      <td>-0.196959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>c</th>\n",
+       "      <td>-2.018168</td>\n",
+       "      <td>0.740122</td>\n",
+       "      <td>0.528813</td>\n",
+       "      <td>-0.589001</td>\n",
+       "      <td>-1.489355</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>d</th>\n",
+       "      <td>0.188695</td>\n",
+       "      <td>-0.758872</td>\n",
+       "      <td>-0.933237</td>\n",
+       "      <td>0.955057</td>\n",
+       "      <td>-0.744542</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>e</th>\n",
+       "      <td>0.190794</td>\n",
+       "      <td>1.978757</td>\n",
+       "      <td>2.605967</td>\n",
+       "      <td>0.683509</td>\n",
+       "      <td>2.796762</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          w         x         y         z       new\n",
+       "a  2.706850  0.628133  0.907969  0.503826  3.614819\n",
+       "b  0.651118 -0.319318 -0.848077  0.605965 -0.196959\n",
+       "c -2.018168  0.740122  0.528813 -0.589001 -1.489355\n",
+       "d  0.188695 -0.758872 -0.933237  0.955057 -0.744542\n",
+       "e  0.190794  1.978757  2.605967  0.683509  2.796762"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "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>w</th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "      <th>z</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>2.706850</td>\n",
+       "      <td>0.628133</td>\n",
+       "      <td>0.907969</td>\n",
+       "      <td>0.503826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>b</th>\n",
+       "      <td>0.651118</td>\n",
+       "      <td>-0.319318</td>\n",
+       "      <td>-0.848077</td>\n",
+       "      <td>0.605965</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>c</th>\n",
+       "      <td>-2.018168</td>\n",
+       "      <td>0.740122</td>\n",
+       "      <td>0.528813</td>\n",
+       "      <td>-0.589001</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>d</th>\n",
+       "      <td>0.188695</td>\n",
+       "      <td>-0.758872</td>\n",
+       "      <td>-0.933237</td>\n",
+       "      <td>0.955057</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>e</th>\n",
+       "      <td>0.190794</td>\n",
+       "      <td>1.978757</td>\n",
+       "      <td>2.605967</td>\n",
+       "      <td>0.683509</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          w         x         y         z\n",
+       "a  2.706850  0.628133  0.907969  0.503826\n",
+       "b  0.651118 -0.319318 -0.848077  0.605965\n",
+       "c -2.018168  0.740122  0.528813 -0.589001\n",
+       "d  0.188695 -0.758872 -0.933237  0.955057\n",
+       "e  0.190794  1.978757  2.605967  0.683509"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.drop('new', axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "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>w</th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "      <th>z</th>\n",
+       "      <th>new</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>2.706850</td>\n",
+       "      <td>0.628133</td>\n",
+       "      <td>0.907969</td>\n",
+       "      <td>0.503826</td>\n",
+       "      <td>3.614819</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>b</th>\n",
+       "      <td>0.651118</td>\n",
+       "      <td>-0.319318</td>\n",
+       "      <td>-0.848077</td>\n",
+       "      <td>0.605965</td>\n",
+       "      <td>-0.196959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>c</th>\n",
+       "      <td>-2.018168</td>\n",
+       "      <td>0.740122</td>\n",
+       "      <td>0.528813</td>\n",
+       "      <td>-0.589001</td>\n",
+       "      <td>-1.489355</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>d</th>\n",
+       "      <td>0.188695</td>\n",
+       "      <td>-0.758872</td>\n",
+       "      <td>-0.933237</td>\n",
+       "      <td>0.955057</td>\n",
+       "      <td>-0.744542</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>e</th>\n",
+       "      <td>0.190794</td>\n",
+       "      <td>1.978757</td>\n",
+       "      <td>2.605967</td>\n",
+       "      <td>0.683509</td>\n",
+       "      <td>2.796762</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          w         x         y         z       new\n",
+       "a  2.706850  0.628133  0.907969  0.503826  3.614819\n",
+       "b  0.651118 -0.319318 -0.848077  0.605965 -0.196959\n",
+       "c -2.018168  0.740122  0.528813 -0.589001 -1.489355\n",
+       "d  0.188695 -0.758872 -0.933237  0.955057 -0.744542\n",
+       "e  0.190794  1.978757  2.605967  0.683509  2.796762"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.drop('new', axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
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+       "          w         x         y         z\n",
+       "a  2.706850  0.628133  0.907969  0.503826\n",
+       "b  0.651118 -0.319318 -0.848077  0.605965\n",
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+       "e  0.190794  1.978757  2.605967  0.683509"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
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+    "df"
+   ]
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+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(5, 4)"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
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+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "  </tbody>\n",
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+       "</div>"
+      ],
+      "text/plain": [
+       "          z         x\n",
+       "a  0.503826  0.628133\n",
+       "b  0.605965 -0.319318\n",
+       "c -0.589001  0.740122\n",
+       "d  0.955057 -0.758872\n",
+       "e  0.683509  1.978757"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[['z','x']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# two ways to select rows in pandas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "w   -2.018168\n",
+       "x    0.740122\n",
+       "y    0.528813\n",
+       "z   -0.589001\n",
+       "Name: c, dtype: float64"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.loc['c']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "w   -2.018168\n",
+       "x    0.740122\n",
+       "y    0.528813\n",
+       "z   -0.589001\n",
+       "Name: c, dtype: float64"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.8480769834036315"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.loc['b','y']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "    <tr>\n",
+       "      <th>b</th>\n",
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+      "text/plain": [
+       "          w         y\n",
+       "a  2.706850  0.907969\n",
+       "b  0.651118 -0.848077"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.loc[['a','b'],['w','y']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
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+}