{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "# Notebook exercice 4 Module 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": true,
    "hidePrompt": true
   },
   "source": [
    "**Importer la base de données _zonulin_**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    echantillon visite  zonulin_ng_per_ml\n",
      "0             1     V1           1.552755\n",
      "1             2     V1           0.427315\n",
      "2             3     V1           2.370457\n",
      "3             4     V1           0.365768\n",
      "4             5     V1           2.933177\n",
      "5             6     V1           1.798945\n",
      "6             7     V1           0.444900\n",
      "7             8     V1           3.742087\n",
      "8             9     V1           0.128370\n",
      "9            10     V1          -0.302462\n",
      "10           11     V1          -0.601407\n",
      "11           12     V1           2.097890\n",
      "12           13     V1           2.871630\n",
      "13           14     V1           2.713365\n",
      "14           15     V1           1.412075\n",
      "15           16     V1           0.524033\n",
      "16           17     V1          -0.117819\n",
      "17           18     V1           0.998828\n",
      "18           19     V1           1.104338\n",
      "19           20     V1           0.550410\n",
      "20           21     V1           1.007620\n",
      "21           22     V1          -1.181712\n",
      "22           23     V1           0.894490\n",
      "23           24     V1           0.361079\n",
      "24           25     V1           0.853458\n",
      "25           26     V1           0.232122\n",
      "26           27     V1           1.064478\n",
      "27           28     V1          -0.043376\n",
      "28           29     V1          -0.143025\n",
      "29           30     V1          -0.066823\n",
      "..          ...    ...                ...\n",
      "58           15     V3           0.594373\n",
      "59           16     V3          -0.355217\n",
      "60           17     V3           0.708675\n",
      "61           18     V3           0.972450\n",
      "62           19     V3          -0.320047\n",
      "63           20     V3           0.093200\n",
      "64           21     V3           1.702227\n",
      "65           22     V3          -0.522274\n",
      "66           23     V3           1.539273\n",
      "67           24     V3          -0.031653\n",
      "68           25     V3          -0.037515\n",
      "69           26     V3           0.015240\n",
      "70           27     V3                NaN\n",
      "71           28     V3          -0.500586\n",
      "72           29     V3          -0.600234\n",
      "73           30     V3           0.097304\n",
      "74           31     V3          -0.400938\n",
      "75           32     V3          -0.377491\n",
      "76           33     V3          -0.412661\n",
      "77           34     V3          -0.365768\n",
      "78           35     V3           0.091442\n",
      "79           36     V3          -0.143025\n",
      "80           37     V3          -0.166471\n",
      "81           38     V3           0.284877\n",
      "82           39     V3           0.237984\n",
      "83           40     V3           0.179367\n",
      "84           41     V3           0.923798\n",
      "85           42     V3           1.263775\n",
      "86           43     V3           0.185229\n",
      "87           44     V3           0.179367\n",
      "\n",
      "[88 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "file = pd.read_csv('zonulin_test_virg.csv', ';')\n",
    "print(file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Graphique zonulin selon la visite**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pylab as P\n",
    "boxplot = file.boxplot(column=\"zonulin_ng_per_ml\",by=\"visite\")\n",
    "plt.show(boxplot)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Statistiques descriptives selon la _visite_**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6812853031818181\n"
     ]
    }
   ],
   "source": [
    "V1 = file.loc[0:43,'zonulin_ng_per_ml'].mean()\n",
    "print(V1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6134845552558138\n"
     ]
    }
   ],
   "source": [
    "V3 = file.loc[44:87,'zonulin_ng_per_ml'].mean()\n",
    "print(V3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.038927303020351\n"
     ]
    }
   ],
   "source": [
    "V1 = file.loc[0:43,'zonulin_ng_per_ml'].std(ddof = 1)\n",
    "print(V1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.1582042761298077\n"
     ]
    }
   ],
   "source": [
    "V3 = file.loc[44:87,'zonulin_ng_per_ml'].std(ddof = 1)\n",
    "print(V3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.44988276700000007\n"
     ]
    }
   ],
   "source": [
    "V1 = file.loc[0:43,'zonulin_ng_per_ml'].median()\n",
    "print(V1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.185228605\n"
     ]
    }
   ],
   "source": [
    "V3 = file.loc[44:87,'zonulin_ng_per_ml'].median()\n",
    "print(V3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_code_all_hidden": true,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
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