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2015-2016/3e/DS/DS_15_09_25/Bilan/Bilan313.ipynb
Benjamin Bertrand 25a2e9a4a7 import work from year 2015-2016
2017-06-16 09:48:54 +03:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import pandas as pd\n",
"from opytex import texenv\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Informations sur le devoir"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"{'classe': '313', 'date': '25 septembre 2015', 'titre': 'DS 1'}"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_name = \"DS_15_09_25\"\n",
"classe = \"313\"\n",
"\n",
"latex_info = {}\n",
"latex_info['titre'] = \"DS 1\" \n",
"latex_info['classe'] = classe\n",
"latex_info['date'] = \"25 septembre 2015\"\n",
"latex_info"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import et premiers traitements"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [],
"source": [
"notes = pd.ExcelFile(\"./../../../\"+classe+\".xlsx\")\n",
"notes.sheet_names\n",
"notes = notes.parse(ds_name)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"Index([ 'DS_15_09_25', 'numero sujet',\n",
" 'Presentation', 'Exercice 1',\n",
" 1, 2,\n",
" 'Exercice 2', '1 (Division)',\n",
" '2.a (Division)', '2.b (PGCD)',\n",
" 'Exercice 3', '1 (Vrai Faux)',\n",
" '2 (Proba)', '3 (Proba)',\n",
" 'Exercice 4', '1 (Modélisation)',\n",
" '1 (Explication)', '2 (Vérification) – bonus !'],\n",
" dtype='object')"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes.index"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"notes = notes.T"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#notes = notes.drop('av_arrondi', axis=1)\n",
"notes = notes.drop('numero sujet', axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>DS_15_09_25</th>\n",
" <th>Presentation</th>\n",
" <th>Exercice 1</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>Exercice 2</th>\n",
" <th>1 (Division)</th>\n",
" <th>2.a (Division)</th>\n",
" <th>2.b (PGCD)</th>\n",
" <th>Exercice 3</th>\n",
" <th>1 (Vrai Faux)</th>\n",
" <th>2 (Proba)</th>\n",
" <th>3 (Proba)</th>\n",
" <th>Exercice 4</th>\n",
" <th>1 (Modélisation)</th>\n",
" <th>1 (Explication)</th>\n",
" <th>2 (Vérification) – bonus !</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>ABDOU Mariam</th>\n",
" <td>18.0</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4.666667</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>5.500000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ABTOIHI SAID Yasmina</th>\n",
" <td>10.0</td>\n",
" <td>1</td>\n",
" <td>1.5</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>3.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>3.833333</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AHAMED Anssuifidine</th>\n",
" <td>7.0</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2.000000</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>1.000000</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AHAMED Issihaka</th>\n",
" <td>15.0</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>5.666667</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3.166667</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>2.333333</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AHMED ABDOU El-Karim</th>\n",
" <td>5.0</td>\n",
" <td>1</td>\n",
" <td>1.5</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.500000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ANDILI Chayhati</th>\n",
" <td>14.0</td>\n",
" <td>1</td>\n",
" <td>2.0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>6.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>4.833333</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ANDJILANE Rachma</th>\n",
" <td>8.0</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3.166667</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ANLI Koudoussia</th>\n",
" <td>13.5</td>\n",
" <td>1</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>5.000000</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>4.833333</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>1.500000</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ATTOUMANI Hanissa</th>\n",
" <td>12.5</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4.666667</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3.000000</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0.833333</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BACO ABDALLAH Moustadirane</th>\n",
" <td>10.5</td>\n",
" <td>1</td>\n",
" <td>0.5</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>5.000000</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0.500000</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BINALI Maoulida</th>\n",
" <td>13.5</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>5.500000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BOINA Ainati</th>\n",
" <td>12.0</td>\n",
" <td>1</td>\n",
" <td>2.5</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>5.500000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BOINA HASSANI Nahimi</th>\n",
" <td>4.5</td>\n",
" <td>1</td>\n",
" <td>2.0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.500000</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DAOUD El-Farouk</th>\n",
" <td>12.0</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>4.166667</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1.833333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DJADAR Ifrah</th>\n",
" <td>12.5</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>4.833333</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HALIBOU Nafilati</th>\n",
" <td>8.5</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>4.500000</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HALIDI Tomsoyère</th>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HOUMADI Himida</th>\n",
" <td>3.0</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.666667</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0.333333</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HOUMADI Antufati</th>\n",
" <td>6.5</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2.833333</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HOUMADI ABDALLAH Abdallah</th>\n",
" <td>13.0</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3.666667</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>5.000000</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0.500000</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>IBRAHIM Laoura</th>\n",
" <td>4.5</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0.500000</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MALIDE ABDOU Nasser</th>\n",
" <td>12.0</td>\n",
" <td>1</td>\n",
" <td>2.5</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>4.166667</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1.500000</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MALIDE Younes</th>\n",
" <td>19.5</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>7.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4.500000</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOENY MOKO Nadjma</th>\n",
" <td>7.5</td>\n",
" <td>1</td>\n",
" <td>2.5</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>2.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>1.500000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOUGNIDAHO Nouriana</th>\n",
" <td>13.0</td>\n",
" <td>1</td>\n",
" <td>2.5</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>5.500000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOURTADJOU El-Fazar</th>\n",
" <td>20.0</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>7.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>5.500000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3.500000</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SAID Chamsoudine</th>\n",
" <td>13.0</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4.000000</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>4.833333</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>YANCOUB Toufa</th>\n",
" <td>13.5</td>\n",
" <td>1</td>\n",
" <td>2.5</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>6.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>2.500000</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>1.666667</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>YOUSSOUF Asma</th>\n",
" <td>10.5</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>5.500000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DS_15_09_25 Presentation Exercice 1 1 2 \\\n",
"ABDOU Mariam 18.0 1 3.0 3 3 \n",
"ABTOIHI SAID Yasmina 10.0 1 1.5 1 2 \n",
"AHAMED Anssuifidine 7.0 1 3.0 3 3 \n",
"AHAMED Issihaka 15.0 1 3.0 3 3 \n",
"AHMED ABDOU El-Karim 5.0 1 1.5 2 1 \n",
"ANDILI Chayhati 14.0 1 2.0 2 2 \n",
"ANDJILANE Rachma 8.0 1 3.0 3 3 \n",
"ANLI Koudoussia 13.5 1 1.0 1 1 \n",
"ATTOUMANI Hanissa 12.5 1 3.0 3 3 \n",
"BACO ABDALLAH Moustadirane 10.5 1 0.5 0 1 \n",
"BINALI Maoulida 13.5 1 3.0 3 3 \n",
"BOINA Ainati 12.0 1 2.5 3 2 \n",
"BOINA HASSANI Nahimi 4.5 1 2.0 2 2 \n",
"DAOUD El-Farouk 12.0 1 3.0 3 3 \n",
"DJADAR Ifrah 12.5 1 3.0 3 3 \n",
"HALIBOU Nafilati 8.5 1 0.0 0 0 \n",
"HALIDI Tomsoyère 0.0 NaN 0.0 NaN NaN \n",
"HOUMADI Himida 3.0 1 0.0 0 0 \n",
"HOUMADI Antufati 6.5 1 0.0 0 0 \n",
"HOUMADI ABDALLAH Abdallah 13.0 1 3.0 3 3 \n",
"IBRAHIM Laoura 4.5 1 0.0 0 0 \n",
"MALIDE ABDOU Nasser 12.0 1 2.5 3 2 \n",
"MALIDE Younes 19.5 1 3.0 3 3 \n",
"MOENY MOKO Nadjma 7.5 1 2.5 3 2 \n",
"MOUGNIDAHO Nouriana 13.0 1 2.5 3 2 \n",
"MOURTADJOU El-Fazar 20.0 1 3.0 3 3 \n",
"SAID Chamsoudine 13.0 1 3.0 3 3 \n",
"YANCOUB Toufa 13.5 1 2.5 3 2 \n",
"YOUSSOUF Asma 10.5 1 0.0 0 NaN \n",
"\n",
" Exercice 2 1 (Division) 2.a (Division) \\\n",
"ABDOU Mariam 4.666667 2 2 \n",
"ABTOIHI SAID Yasmina 3.666667 0 1 \n",
"AHAMED Anssuifidine 2.000000 0 NaN \n",
"AHAMED Issihaka 5.666667 1 3 \n",
"AHMED ABDOU El-Karim 1.000000 0 0 \n",
"ANDILI Chayhati 6.000000 3 3 \n",
"ANDJILANE Rachma 1.000000 0 0 \n",
"ANLI Koudoussia 5.000000 1 2 \n",
"ATTOUMANI Hanissa 4.666667 1 3 \n",
"BACO ABDALLAH Moustadirane 3.666667 0 1 \n",
"BINALI Maoulida 4.000000 3 3 \n",
"BOINA Ainati 3.000000 0 0 \n",
"BOINA HASSANI Nahimi 1.000000 0 0 \n",
"DAOUD El-Farouk 2.000000 0 0 \n",
"DJADAR Ifrah 3.666667 0 1 \n",
"HALIBOU Nafilati 3.000000 0 0 \n",
"HALIDI Tomsoyère 0.000000 NaN NaN \n",
"HOUMADI Himida 0.000000 0 0 \n",
"HOUMADI Antufati 2.666667 0 1 \n",
"HOUMADI ABDALLAH Abdallah 3.666667 2 2 \n",
"IBRAHIM Laoura 2.000000 0 0 \n",
"MALIDE ABDOU Nasser 3.000000 0 0 \n",
"MALIDE Younes 7.000000 3 3 \n",
"MOENY MOKO Nadjma 2.666667 0 1 \n",
"MOUGNIDAHO Nouriana 3.000000 0 0 \n",
"MOURTADJOU El-Fazar 7.000000 3 3 \n",
"SAID Chamsoudine 4.000000 NaN 3 \n",
"YANCOUB Toufa 6.000000 3 3 \n",
"YOUSSOUF Asma 4.000000 3 3 \n",
"\n",
" 2.b (PGCD) Exercice 3 1 (Vrai Faux) 2 (Proba) \\\n",
"ABDOU Mariam 2 5.500000 3 3 \n",
"ABTOIHI SAID Yasmina 3 3.833333 1 3 \n",
"AHAMED Anssuifidine 2 1.000000 2 NaN \n",
"AHAMED Issihaka 3 3.166667 1 3 \n",
"AHMED ABDOU El-Karim 1 1.500000 3 0 \n",
"ANDILI Chayhati 2 4.833333 3 3 \n",
"ANDJILANE Rachma 1 3.166667 1 3 \n",
"ANLI Koudoussia 3 4.833333 3 2 \n",
"ATTOUMANI Hanissa 2 3.000000 2 3 \n",
"BACO ABDALLAH Moustadirane 3 5.000000 2 3 \n",
"BINALI Maoulida 0 5.500000 3 3 \n",
"BOINA Ainati 3 5.500000 3 3 \n",
"BOINA HASSANI Nahimi 1 0.500000 1 NaN \n",
"DAOUD El-Farouk 2 4.166667 3 3 \n",
"DJADAR Ifrah 3 4.833333 3 3 \n",
"HALIBOU Nafilati 3 4.500000 1 3 \n",
"HALIDI Tomsoyère NaN 0.000000 NaN NaN \n",
"HOUMADI Himida 0 1.666667 2 1 \n",
"HOUMADI Antufati 2 2.833333 3 1 \n",
"HOUMADI ABDALLAH Abdallah 1 5.000000 2 3 \n",
"IBRAHIM Laoura 2 0.500000 1 0 \n",
"MALIDE ABDOU Nasser 3 4.166667 3 3 \n",
"MALIDE Younes 3 4.500000 1 3 \n",
"MOENY MOKO Nadjma 2 1.500000 3 0 \n",
"MOUGNIDAHO Nouriana 3 5.500000 3 3 \n",
"MOURTADJOU El-Fazar 3 5.500000 3 3 \n",
"SAID Chamsoudine 2 4.833333 3 2 \n",
"YANCOUB Toufa 2 2.500000 1 3 \n",
"YOUSSOUF Asma NaN 5.500000 3 3 \n",
"\n",
" 3 (Proba) Exercice 4 1 (Modélisation) \\\n",
"ABDOU Mariam 3 4.000000 3 \n",
"ABTOIHI SAID Yasmina 2 0.000000 0 \n",
"AHAMED Anssuifidine NaN 0.000000 0 \n",
"AHAMED Issihaka 1 2.333333 2 \n",
"AHMED ABDOU El-Karim NaN 0.000000 NaN \n",
"ANDILI Chayhati 2 0.000000 NaN \n",
"ANDJILANE Rachma 1 0.000000 NaN \n",
"ANLI Koudoussia 3 1.500000 NaN \n",
"ATTOUMANI Hanissa 0 0.833333 1 \n",
"BACO ABDALLAH Moustadirane 3 0.500000 0 \n",
"BINALI Maoulida 3 0.000000 0 \n",
"BOINA Ainati 3 0.000000 0 \n",
"BOINA HASSANI Nahimi NaN 0.000000 0 \n",
"DAOUD El-Farouk 1 1.833333 2 \n",
"DJADAR Ifrah 2 0.000000 NaN \n",
"HALIBOU Nafilati 3 0.000000 0 \n",
"HALIDI Tomsoyère NaN 0.000000 NaN \n",
"HOUMADI Himida 0 0.333333 0 \n",
"HOUMADI Antufati 1 0.000000 0 \n",
"HOUMADI ABDALLAH Abdallah 3 0.500000 1 \n",
"IBRAHIM Laoura 0 1.000000 1 \n",
"MALIDE ABDOU Nasser 1 1.500000 2 \n",
"MALIDE Younes 3 4.000000 3 \n",
"MOENY MOKO Nadjma 0 0.000000 0 \n",
"MOUGNIDAHO Nouriana 3 1.000000 1 \n",
"MOURTADJOU El-Fazar 3 3.500000 3 \n",
"SAID Chamsoudine 3 0.000000 0 \n",
"YANCOUB Toufa 0 1.666667 1 \n",
"YOUSSOUF Asma 3 0.000000 0 \n",
"\n",
" 1 (Explication) 2 (Vérification) – bonus ! \n",
"ABDOU Mariam 3 3 \n",
"ABTOIHI SAID Yasmina 0 NaN \n",
"AHAMED Anssuifidine 0 NaN \n",
"AHAMED Issihaka 2 1 \n",
"AHMED ABDOU El-Karim NaN NaN \n",
"ANDILI Chayhati NaN NaN \n",
"ANDJILANE Rachma NaN NaN \n",
"ANLI Koudoussia 1 3 \n",
"ATTOUMANI Hanissa NaN 1 \n",
"BACO ABDALLAH Moustadirane 1 NaN \n",
"BINALI Maoulida 0 NaN \n",
"BOINA Ainati 0 NaN \n",
"BOINA HASSANI Nahimi 0 NaN \n",
"DAOUD El-Farouk 1 1 \n",
"DJADAR Ifrah NaN NaN \n",
"HALIBOU Nafilati 0 NaN \n",
"HALIDI Tomsoyère NaN NaN \n",
"HOUMADI Himida 0 1 \n",
"HOUMADI Antufati 0 NaN \n",
"HOUMADI ABDALLAH Abdallah 0 NaN \n",
"IBRAHIM Laoura 1 NaN \n",
"MALIDE ABDOU Nasser 1 NaN \n",
"MALIDE Younes 3 3 \n",
"MOENY MOKO Nadjma 0 NaN \n",
"MOUGNIDAHO Nouriana 1 NaN \n",
"MOURTADJOU El-Fazar 2 3 \n",
"SAID Chamsoudine 0 NaN \n",
"YANCOUB Toufa 1 2 \n",
"YOUSSOUF Asma 0 NaN "
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"barem = notes[:1]\n",
"notes = notes[1:]\n",
"notes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Supression des notes inutiles "
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes = notes[notes[ds_name].notnull()]\n",
"#notes = notes[notes[ds_name] != 'abs']"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes = notes.astype(float)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Traitement des notes"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"Index([ 'DS_15_09_25', 'Presentation',\n",
" 'Exercice 1', 1,\n",
" 2, 'Exercice 2',\n",
" '1 (Division)', '2.a (Division)',\n",
" '2.b (PGCD)', 'Exercice 3',\n",
" '1 (Vrai Faux)', '2 (Proba)',\n",
" '3 (Proba)', 'Exercice 4',\n",
" '1 (Modélisation)', '1 (Explication)',\n",
" '2 (Vérification) – bonus !'],\n",
" dtype='object')"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes.T.index"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"list_exo = [\"Exercice 1\", \"Exercice 2\", \"Exercice 3\",\"Exercice 4\"]"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes[list_exo] = notes[list_exo].applymap(lambda x:round(x,2))\n",
"#notes[list_exo]"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"[1,\n",
" 2,\n",
" '1 (Division)',\n",
" '2.a (Division)',\n",
" '2.b (PGCD)',\n",
" '1 (Vrai Faux)',\n",
" '2 (Proba)',\n",
" '3 (Proba)',\n",
" '1 (Modélisation)',\n",
" '1 (Explication)',\n",
" '2 (Vérification) – bonus\\xa0!']"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"item_avec_note = list_exo + [ds_name, \"Presentation\"]\n",
"sous_exo = [i for i in notes.T.index if i not in item_avec_note]\n",
"sous_exo"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def toRepVal(val):\n",
" if pd.isnull(val):\n",
" return \"\\\\NoRep\"\n",
" elif val == 0:\n",
" return \"\\\\RepZ\"\n",
" elif val == 1:\n",
" return \"\\\\RepU\"\n",
" elif val == 2:\n",
" return \"\\\\RepD\"\n",
" elif val == 3:\n",
" return \"\\\\RepT\"\n",
" else:\n",
" return val"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes[item_avec_note] = notes[item_avec_note].fillna(\".\")\n",
"#notes"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"eleves = notes.copy()\n",
"eleves[sous_exo] = notes[sous_exo].applymap(toRepVal)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"17"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(notes.T.index)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Preparation du fichier .tex"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"bilan = texenv.get_template(\"tpl_bilan.tex\")\n",
"with open(\"./bilan313.tex\",\"w\") as f:\n",
" f.write(bilan.render(eleves = eleves, barem = barem, ds_name = ds_name, latex_info = latex_info, nbr_questions = len(barem.T)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Un peu de statistiques"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"count 28.000000\n",
"mean 10.517857\n",
"std 4.637772\n",
"min 0.000000\n",
"25% 7.375000\n",
"50% 12.000000\n",
"75% 13.125000\n",
"max 20.000000\n",
"Name: DS_15_09_25, dtype: float64"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes[ds_name].describe()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fa88a797ac8>"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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OvcX2Z2yvT79MAEAZQ5u67RWSviBps6RrJd1m+zd65myVdFVEXC3pDkn3V7RWAMAIo67U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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fa88a8950f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"notes_seules = notes[ds_name]\n",
"notes_seules.hist(bins = (notes_seules.max() - notes_seules.min())*2)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes_questions = notes[sous_exo]\n",
"notes_analysis = notes_questions.describe()"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>1 (Division)</th>\n",
" <th>2.a (Division)</th>\n",
" <th>2.b (PGCD)</th>\n",
" <th>1 (Vrai Faux)</th>\n",
" <th>2 (Proba)</th>\n",
" <th>3 (Proba)</th>\n",
" <th>1 (Modélisation)</th>\n",
" <th>1 (Explication)</th>\n",
" <th>2 (Vérification) – bonus !</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>25</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 1 2 1 (Division) 2.a (Division) 2.b (PGCD) 1 (Vrai Faux) \\\n",
"count NaN NaN NaN NaN NaN NaN \n",
"\n",
" 2 (Proba) 3 (Proba) 1 (Modélisation) 1 (Explication) \\\n",
"count 25 NaN NaN NaN \n",
"\n",
" 2 (Vérification) – bonus ! \n",
"count NaN "
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# J'aimerai récupérer le nom des questions qui ont été le moins répondus\n",
"notes_analysis[:1][notes_analysis[:1] == 25]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"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": "3.4.3"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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