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2014-2015/1er_STMG/DS/DS_0410/Bilan/Bilan DS_0410.ipynb

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Import work from year 2014-2015
2017-06-16 06:48:07 +00:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import pandas as pd\n",
"from texenv import texenv\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"ds_name = \"DS_0410\"\n",
"classe = \"1stmg\""
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [],
"source": [
"notes = pd.ExcelFile(\"./../../../notes_\"+classe+\".xls\")\n",
"notes.sheet_names\n",
"notes = notes.parse(ds_name)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"Index(['DS_0410', 'av_arrondi', 'Exercice 1', '1 (tracer fonction)', '2 (inéquation)', 'Exercice 2', '1.a (lecture graphique)', '1.b (proportion)', '1.c (lecture graphique)', '1.d (lecture graphique)', '2.a (dérivation)', '2.b (etude de signe)', '2.c (maximum)', 'Exercice 3 (QCM)'], dtype='object')"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes.index"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"notes = notes.T"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes = notes.drop(\"av_arrondi\", axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"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_0410</th>\n",
" <th>Exercice 1</th>\n",
" <th>1 (tracer fonction)</th>\n",
" <th>2 (inéquation)</th>\n",
" <th>Exercice 2</th>\n",
" <th>1.a (lecture graphique)</th>\n",
" <th>1.b (proportion)</th>\n",
" <th>1.c (lecture graphique)</th>\n",
" <th>1.d (lecture graphique)</th>\n",
" <th>2.a (dérivation)</th>\n",
" <th>2.b (etude de signe)</th>\n",
" <th>2.c (maximum)</th>\n",
" <th>Exercice 3 (QCM)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>AHRAM Anyssa</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>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AISSA Reda</th>\n",
" <td>12.0</td>\n",
" <td>3.333333</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>7.166667</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BENALIA Nassim</th>\n",
" <td>8.5</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BOUCETTA M'hamed</th>\n",
" <td>13.0</td>\n",
" <td>2.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>8.666667</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DA COSTA SANTOS Pauline</th>\n",
" <td>7.0</td>\n",
" <td>2.000000</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>5.166667</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DE SOUZA Laurencia</th>\n",
" <td>12.5</td>\n",
" <td>2.666667</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>6.666667</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DIA Anais</th>\n",
" <td>9.5</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GEINDREAU Anne Lyse</th>\n",
" <td>15.0</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>10.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GIAHI KHOSHNAM Kimiya</th>\n",
" <td>9.5</td>\n",
" <td>3.333333</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>4.500000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GOMES DOS SANTOS Mélina</th>\n",
" <td>13.5</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>6.666667</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GOMES TAVARES Janice</th>\n",
" <td>NaN</td>\n",
" <td>0.000000</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>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>JOSEPH Lucie</th>\n",
" <td>9.5</td>\n",
" <td>2.666667</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>4.000000</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>KENEMO Jordan</th>\n",
" <td>7.0</td>\n",
" <td>2.666667</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2.666667</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LAHBATI Baddredine</th>\n",
" <td>8.0</td>\n",
" <td>2.000000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>3.666667</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>2.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LELO Yokoche</th>\n",
" <td>14.0</td>\n",
" <td>3.333333</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>9.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MBARKI Nesrin</th>\n",
" <td>14.5</td>\n",
" <td>3.333333</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>8.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MEDJADIR Ikrame</th>\n",
" <td>10.5</td>\n",
" <td>2.000000</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>5.666667</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOUGAMADOUSOULEMANE Nasrin</th>\n",
" <td>8.0</td>\n",
" <td>2.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOUMNI Mohamed</th>\n",
" <td>10.0</td>\n",
" <td>3.333333</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>5.000000</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NKOUNKOU MOUANGASSA Primaëlle Allegresse</th>\n",
" <td>14.5</td>\n",
" <td>3.333333</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>8.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PATRICK Alvin</th>\n",
" <td>11.5</td>\n",
" <td>2.666667</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>7.500000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>RIVART Morgane</th>\n",
" <td>17.0</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>10.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Safarnyan Vakil</th>\n",
" <td>7.0</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>3.500000</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SENKAL Kursad</th>\n",
" <td>12.0</td>\n",
" <td>1.333333</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>9.166667</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SHABBIR Rukhssar</th>\n",
" <td>12.0</td>\n",
" <td>2.000000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>5.500000</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>4.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SILMI Walid</th>\n",
" <td>8.0</td>\n",
" <td>2.000000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>4.666667</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SOUPRAMANIANE Pavitra</th>\n",
" <td>11.5</td>\n",
" <td>3.333333</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>6.500000</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TERBECHE Fatima</th>\n",
" <td>12.5</td>\n",
" <td>2.000000</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>7.333333</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>UGURLU Rojin</th>\n",
" <td>12.5</td>\n",
" <td>2.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>6.666667</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>VALERE Laureen</th>\n",
" <td>11.0</td>\n",
" <td>2.000000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>7.500000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>VAZ DE ALMEIDA Gabrielle</th>\n",
" <td>16.5</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>9.666667</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DS_0410 Exercice 1 \\\n",
"AHRAM Anyssa NaN NaN \n",
"AISSA Reda 12.0 3.333333 \n",
"BENALIA Nassim 8.5 1.333333 \n",
"BOUCETTA M'hamed 13.0 2.666667 \n",
"DA COSTA SANTOS Pauline 7.0 2.000000 \n",
"DE SOUZA Laurencia 12.5 2.666667 \n",
"DIA Anais 9.5 4.000000 \n",
"GEINDREAU Anne Lyse 15.0 4.000000 \n",
"GIAHI KHOSHNAM Kimiya 9.5 3.333333 \n",
"GOMES DOS SANTOS Mélina 13.5 4.000000 \n",
"GOMES TAVARES Janice NaN 0.000000 \n",
"JOSEPH Lucie 9.5 2.666667 \n",
"KENEMO Jordan 7.0 2.666667 \n",
"LAHBATI Baddredine 8.0 2.000000 \n",
"LELO Yokoche 14.0 3.333333 \n",
"MBARKI Nesrin 14.5 3.333333 \n",
"MEDJADIR Ikrame 10.5 2.000000 \n",
"MOUGAMADOUSOULEMANE Nasrin 8.0 2.666667 \n",
"MOUMNI Mohamed 10.0 3.333333 \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 14.5 3.333333 \n",
"PATRICK Alvin 11.5 2.666667 \n",
"RIVART Morgane 17.0 4.000000 \n",
"Safarnyan Vakil 7.0 0.666667 \n",
"SENKAL Kursad 12.0 1.333333 \n",
"SHABBIR Rukhssar 12.0 2.000000 \n",
"SILMI Walid 8.0 2.000000 \n",
"SOUPRAMANIANE Pavitra 11.5 3.333333 \n",
"TERBECHE Fatima 12.5 2.000000 \n",
"UGURLU Rojin 12.5 2.666667 \n",
"VALERE Laureen 11.0 2.000000 \n",
"VAZ DE ALMEIDA Gabrielle 16.5 4.000000 \n",
"\n",
" 1 (tracer fonction) 2 (inéquation) \\\n",
"AHRAM Anyssa NaN NaN \n",
"AISSA Reda 3 2 \n",
"BENALIA Nassim 2 NaN \n",
"BOUCETTA M'hamed 3 1 \n",
"DA COSTA SANTOS Pauline 3 NaN \n",
"DE SOUZA Laurencia 2 2 \n",
"DIA Anais 3 3 \n",
"GEINDREAU Anne Lyse 3 3 \n",
"GIAHI KHOSHNAM Kimiya 2 3 \n",
"GOMES DOS SANTOS Mélina 3 3 \n",
"GOMES TAVARES Janice NaN NaN \n",
"JOSEPH Lucie 1 3 \n",
"KENEMO Jordan 2 2 \n",
"LAHBATI Baddredine 3 0 \n",
"LELO Yokoche 3 2 \n",
"MBARKI Nesrin 2 3 \n",
"MEDJADIR Ikrame 0 3 \n",
"MOUGAMADOUSOULEMANE Nasrin 3 1 \n",
"MOUMNI Mohamed 2 3 \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 2 3 \n",
"PATRICK Alvin 1 3 \n",
"RIVART Morgane 3 3 \n",
"Safarnyan Vakil 1 NaN \n",
"SENKAL Kursad 1 1 \n",
"SHABBIR Rukhssar 3 0 \n",
"SILMI Walid 3 0 \n",
"SOUPRAMANIANE Pavitra 2 3 \n",
"TERBECHE Fatima 2 1 \n",
"UGURLU Rojin 3 1 \n",
"VALERE Laureen 3 0 \n",
"VAZ DE ALMEIDA Gabrielle 3 3 \n",
"\n",
" Exercice 2 1.a (lecture graphique) \\\n",
"AHRAM Anyssa NaN NaN \n",
"AISSA Reda 7.166667 3 \n",
"BENALIA Nassim 4.000000 3 \n",
"BOUCETTA M'hamed 8.666667 2 \n",
"DA COSTA SANTOS Pauline 5.166667 3 \n",
"DE SOUZA Laurencia 6.666667 3 \n",
"DIA Anais 4.000000 3 \n",
"GEINDREAU Anne Lyse 10.000000 3 \n",
"GIAHI KHOSHNAM Kimiya 4.500000 3 \n",
"GOMES DOS SANTOS Mélina 6.666667 3 \n",
"GOMES TAVARES Janice 0.000000 NaN \n",
"JOSEPH Lucie 4.000000 2 \n",
"KENEMO Jordan 2.666667 2 \n",
"LAHBATI Baddredine 3.666667 3 \n",
"LELO Yokoche 9.000000 3 \n",
"MBARKI Nesrin 8.000000 3 \n",
"MEDJADIR Ikrame 5.666667 3 \n",
"MOUGAMADOUSOULEMANE Nasrin 4.000000 3 \n",
"MOUMNI Mohamed 5.000000 1 \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 8.000000 3 \n",
"PATRICK Alvin 7.500000 3 \n",
"RIVART Morgane 10.000000 3 \n",
"Safarnyan Vakil 3.500000 3 \n",
"SENKAL Kursad 9.166667 3 \n",
"SHABBIR Rukhssar 5.500000 3 \n",
"SILMI Walid 4.666667 3 \n",
"SOUPRAMANIANE Pavitra 6.500000 2 \n",
"TERBECHE Fatima 7.333333 3 \n",
"UGURLU Rojin 6.666667 2 \n",
"VALERE Laureen 7.500000 3 \n",
"VAZ DE ALMEIDA Gabrielle 9.666667 3 \n",
"\n",
" 1.b (proportion) \\\n",
"AHRAM Anyssa NaN \n",
"AISSA Reda 2 \n",
"BENALIA Nassim 3 \n",
"BOUCETTA M'hamed 3 \n",
"DA COSTA SANTOS Pauline 2 \n",
"DE SOUZA Laurencia NaN \n",
"DIA Anais NaN \n",
"GEINDREAU Anne Lyse 3 \n",
"GIAHI KHOSHNAM Kimiya 0 \n",
"GOMES DOS SANTOS Mélina 3 \n",
"GOMES TAVARES Janice NaN \n",
"JOSEPH Lucie 0 \n",
"KENEMO Jordan 2 \n",
"LAHBATI Baddredine 3 \n",
"LELO Yokoche 3 \n",
"MBARKI Nesrin 3 \n",
"MEDJADIR Ikrame NaN \n",
"MOUGAMADOUSOULEMANE Nasrin 3 \n",
"MOUMNI Mohamed NaN \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 3 \n",
"PATRICK Alvin 3 \n",
"RIVART Morgane 3 \n",
"Safarnyan Vakil NaN \n",
"SENKAL Kursad 2 \n",
"SHABBIR Rukhssar NaN \n",
"SILMI Walid 3 \n",
"SOUPRAMANIANE Pavitra 2 \n",
"TERBECHE Fatima NaN \n",
"UGURLU Rojin 0 \n",
"VALERE Laureen 0 \n",
"VAZ DE ALMEIDA Gabrielle 3 \n",
"\n",
" 1.c (lecture graphique) \\\n",
"AHRAM Anyssa NaN \n",
"AISSA Reda 3 \n",
"BENALIA Nassim 3 \n",
"BOUCETTA M'hamed 3 \n",
"DA COSTA SANTOS Pauline 0 \n",
"DE SOUZA Laurencia 0 \n",
"DIA Anais NaN \n",
"GEINDREAU Anne Lyse 3 \n",
"GIAHI KHOSHNAM Kimiya 0 \n",
"GOMES DOS SANTOS Mélina 2 \n",
"GOMES TAVARES Janice NaN \n",
"JOSEPH Lucie 2 \n",
"KENEMO Jordan 1 \n",
"LAHBATI Baddredine 2 \n",
"LELO Yokoche 3 \n",
"MBARKI Nesrin 0 \n",
"MEDJADIR Ikrame NaN \n",
"MOUGAMADOUSOULEMANE Nasrin 0 \n",
"MOUMNI Mohamed NaN \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 0 \n",
"PATRICK Alvin 0 \n",
"RIVART Morgane 3 \n",
"Safarnyan Vakil 0 \n",
"SENKAL Kursad 3 \n",
"SHABBIR Rukhssar 1 \n",
"SILMI Walid 2 \n",
"SOUPRAMANIANE Pavitra 0 \n",
"TERBECHE Fatima 1 \n",
"UGURLU Rojin 0 \n",
"VALERE Laureen NaN \n",
"VAZ DE ALMEIDA Gabrielle 2 \n",
"\n",
" 1.d (lecture graphique) \\\n",
"AHRAM Anyssa NaN \n",
"AISSA Reda 3 \n",
"BENALIA Nassim 3 \n",
"BOUCETTA M'hamed 3 \n",
"DA COSTA SANTOS Pauline 3 \n",
"DE SOUZA Laurencia 2 \n",
"DIA Anais 3 \n",
"GEINDREAU Anne Lyse 3 \n",
"GIAHI KHOSHNAM Kimiya 3 \n",
"GOMES DOS SANTOS Mélina 3 \n",
"GOMES TAVARES Janice NaN \n",
"JOSEPH Lucie 2 \n",
"KENEMO Jordan 0 \n",
"LAHBATI Baddredine 3 \n",
"LELO Yokoche 3 \n",
"MBARKI Nesrin 3 \n",
"MEDJADIR Ikrame 2 \n",
"MOUGAMADOUSOULEMANE Nasrin 2 \n",
"MOUMNI Mohamed 2 \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 3 \n",
"PATRICK Alvin 3 \n",
"RIVART Morgane 3 \n",
"Safarnyan Vakil 3 \n",
"SENKAL Kursad 3 \n",
"SHABBIR Rukhssar 2 \n",
"SILMI Walid 3 \n",
"SOUPRAMANIANE Pavitra 2 \n",
"TERBECHE Fatima 3 \n",
"UGURLU Rojin 3 \n",
"VALERE Laureen 3 \n",
"VAZ DE ALMEIDA Gabrielle 3 \n",
"\n",
" 2.a (dérivation) \\\n",
"AHRAM Anyssa NaN \n",
"AISSA Reda 3 \n",
"BENALIA Nassim NaN \n",
"BOUCETTA M'hamed 3 \n",
"DA COSTA SANTOS Pauline 3 \n",
"DE SOUZA Laurencia 3 \n",
"DIA Anais 2 \n",
"GEINDREAU Anne Lyse 3 \n",
"GIAHI KHOSHNAM Kimiya 3 \n",
"GOMES DOS SANTOS Mélina 2 \n",
"GOMES TAVARES Janice NaN \n",
"JOSEPH Lucie 2 \n",
"KENEMO Jordan 2 \n",
"LAHBATI Baddredine NaN \n",
"LELO Yokoche 3 \n",
"MBARKI Nesrin 3 \n",
"MEDJADIR Ikrame 2 \n",
"MOUGAMADOUSOULEMANE Nasrin 2 \n",
"MOUMNI Mohamed 3 \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 3 \n",
"PATRICK Alvin 2 \n",
"RIVART Morgane 3 \n",
"Safarnyan Vakil 3 \n",
"SENKAL Kursad 2 \n",
"SHABBIR Rukhssar 2 \n",
"SILMI Walid 2 \n",
"SOUPRAMANIANE Pavitra 3 \n",
"TERBECHE Fatima 3 \n",
"UGURLU Rojin 3 \n",
"VALERE Laureen 3 \n",
"VAZ DE ALMEIDA Gabrielle 3 \n",
"\n",
" 2.b (etude de signe) 2.c (maximum) \\\n",
"AHRAM Anyssa NaN NaN \n",
"AISSA Reda 2 0 \n",
"BENALIA Nassim NaN NaN \n",
"BOUCETTA M'hamed 2 3 \n",
"DA COSTA SANTOS Pauline 1 NaN \n",
"DE SOUZA Laurencia 2 3 \n",
"DIA Anais 1 NaN \n",
"GEINDREAU Anne Lyse 3 3 \n",
"GIAHI KHOSHNAM Kimiya 1 NaN \n",
"GOMES DOS SANTOS Mélina 2 0 \n",
"GOMES TAVARES Janice NaN NaN \n",
"JOSEPH Lucie 1 0 \n",
"KENEMO Jordan NaN NaN \n",
"LAHBATI Baddredine NaN 0 \n",
"LELO Yokoche 2 3 \n",
"MBARKI Nesrin 3 1 \n",
"MEDJADIR Ikrame 3 0 \n",
"MOUGAMADOUSOULEMANE Nasrin 0 NaN \n",
"MOUMNI Mohamed 2 1 \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 2 3 \n",
"PATRICK Alvin 2 3 \n",
"RIVART Morgane 3 3 \n",
"Safarnyan Vakil NaN 0 \n",
"SENKAL Kursad 3 3 \n",
"SHABBIR Rukhssar 2 1 \n",
"SILMI Walid NaN NaN \n",
"SOUPRAMANIANE Pavitra 2 2 \n",
"TERBECHE Fatima 3 1 \n",
"UGURLU Rojin 2 3 \n",
"VALERE Laureen 3 2 \n",
"VAZ DE ALMEIDA Gabrielle 3 3 \n",
"\n",
" Exercice 3 (QCM) \n",
"AHRAM Anyssa NaN \n",
"AISSA Reda 1.5 \n",
"BENALIA Nassim 3.0 \n",
"BOUCETTA M'hamed 1.5 \n",
"DA COSTA SANTOS Pauline 0.0 \n",
"DE SOUZA Laurencia 3.0 \n",
"DIA Anais 1.5 \n",
"GEINDREAU Anne Lyse 1.0 \n",
"GIAHI KHOSHNAM Kimiya 1.5 \n",
"GOMES DOS SANTOS Mélina 3.0 \n",
"GOMES TAVARES Janice NaN \n",
"JOSEPH Lucie 3.0 \n",
"KENEMO Jordan 1.5 \n",
"LAHBATI Baddredine 2.5 \n",
"LELO Yokoche 1.5 \n",
"MBARKI Nesrin 3.0 \n",
"MEDJADIR Ikrame 3.0 \n",
"MOUGAMADOUSOULEMANE Nasrin 1.5 \n",
"MOUMNI Mohamed 1.5 \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 3.0 \n",
"PATRICK Alvin 1.5 \n",
"RIVART Morgane 3.0 \n",
"Safarnyan Vakil 3.0 \n",
"SENKAL Kursad 1.5 \n",
"SHABBIR Rukhssar 4.5 \n",
"SILMI Walid 1.5 \n",
"SOUPRAMANIANE Pavitra 1.5 \n",
"TERBECHE Fatima 3.0 \n",
"UGURLU Rojin 3.0 \n",
"VALERE Laureen 1.5 \n",
"VAZ DE ALMEIDA Gabrielle 3.0 "
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"barem = notes[:1]\n",
"notes = notes[1:]\n",
"notes"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes = notes[notes[ds_name].notnull()]\n",
"#notes"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes = notes.astype(float)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"count 29.000000\n",
"mean 11.310345\n",
"std 2.820251\n",
"min 7.000000\n",
"25% 9.500000\n",
"50% 11.500000\n",
"75% 13.000000\n",
"max 17.000000\n",
"Name: DS_0410, dtype: float64"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes[ds_name].describe()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"list_exo = [\"Exercice 1\", \"Exercice 2\", \"Exercice 3 (QCM)\"]"
]
},
{
"cell_type": "code",
"execution_count": 21,
"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>Exercice 1</th>\n",
" <th>Exercice 2</th>\n",
" <th>Exercice 3 (QCM)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>AISSA Reda</th>\n",
" <td>3.33</td>\n",
" <td>7.17</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BENALIA Nassim</th>\n",
" <td>1.33</td>\n",
" <td>4.00</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BOUCETTA M'hamed</th>\n",
" <td>2.67</td>\n",
" <td>8.67</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DA COSTA SANTOS Pauline</th>\n",
" <td>2.00</td>\n",
" <td>5.17</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DE SOUZA Laurencia</th>\n",
" <td>2.67</td>\n",
" <td>6.67</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DIA Anais</th>\n",
" <td>4.00</td>\n",
" <td>4.00</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GEINDREAU Anne Lyse</th>\n",
" <td>4.00</td>\n",
" <td>10.00</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GIAHI KHOSHNAM Kimiya</th>\n",
" <td>3.33</td>\n",
" <td>4.50</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GOMES DOS SANTOS Mélina</th>\n",
" <td>4.00</td>\n",
" <td>6.67</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>JOSEPH Lucie</th>\n",
" <td>2.67</td>\n",
" <td>4.00</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>KENEMO Jordan</th>\n",
" <td>2.67</td>\n",
" <td>2.67</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LAHBATI Baddredine</th>\n",
" <td>2.00</td>\n",
" <td>3.67</td>\n",
" <td>2.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LELO Yokoche</th>\n",
" <td>3.33</td>\n",
" <td>9.00</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MBARKI Nesrin</th>\n",
" <td>3.33</td>\n",
" <td>8.00</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MEDJADIR Ikrame</th>\n",
" <td>2.00</td>\n",
" <td>5.67</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOUGAMADOUSOULEMANE Nasrin</th>\n",
" <td>2.67</td>\n",
" <td>4.00</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOUMNI Mohamed</th>\n",
" <td>3.33</td>\n",
" <td>5.00</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NKOUNKOU MOUANGASSA Primaëlle Allegresse</th>\n",
" <td>3.33</td>\n",
" <td>8.00</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PATRICK Alvin</th>\n",
" <td>2.67</td>\n",
" <td>7.50</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>RIVART Morgane</th>\n",
" <td>4.00</td>\n",
" <td>10.00</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Safarnyan Vakil</th>\n",
" <td>0.67</td>\n",
" <td>3.50</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SENKAL Kursad</th>\n",
" <td>1.33</td>\n",
" <td>9.17</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SHABBIR Rukhssar</th>\n",
" <td>2.00</td>\n",
" <td>5.50</td>\n",
" <td>4.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SILMI Walid</th>\n",
" <td>2.00</td>\n",
" <td>4.67</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SOUPRAMANIANE Pavitra</th>\n",
" <td>3.33</td>\n",
" <td>6.50</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>TERBECHE Fatima</th>\n",
" <td>2.00</td>\n",
" <td>7.33</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>UGURLU Rojin</th>\n",
" <td>2.67</td>\n",
" <td>6.67</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>VALERE Laureen</th>\n",
" <td>2.00</td>\n",
" <td>7.50</td>\n",
" <td>1.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>VAZ DE ALMEIDA Gabrielle</th>\n",
" <td>4.00</td>\n",
" <td>9.67</td>\n",
" <td>3.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Exercice 1 Exercice 2 \\\n",
"AISSA Reda 3.33 7.17 \n",
"BENALIA Nassim 1.33 4.00 \n",
"BOUCETTA M'hamed 2.67 8.67 \n",
"DA COSTA SANTOS Pauline 2.00 5.17 \n",
"DE SOUZA Laurencia 2.67 6.67 \n",
"DIA Anais 4.00 4.00 \n",
"GEINDREAU Anne Lyse 4.00 10.00 \n",
"GIAHI KHOSHNAM Kimiya 3.33 4.50 \n",
"GOMES DOS SANTOS Mélina 4.00 6.67 \n",
"JOSEPH Lucie 2.67 4.00 \n",
"KENEMO Jordan 2.67 2.67 \n",
"LAHBATI Baddredine 2.00 3.67 \n",
"LELO Yokoche 3.33 9.00 \n",
"MBARKI Nesrin 3.33 8.00 \n",
"MEDJADIR Ikrame 2.00 5.67 \n",
"MOUGAMADOUSOULEMANE Nasrin 2.67 4.00 \n",
"MOUMNI Mohamed 3.33 5.00 \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 3.33 8.00 \n",
"PATRICK Alvin 2.67 7.50 \n",
"RIVART Morgane 4.00 10.00 \n",
"Safarnyan Vakil 0.67 3.50 \n",
"SENKAL Kursad 1.33 9.17 \n",
"SHABBIR Rukhssar 2.00 5.50 \n",
"SILMI Walid 2.00 4.67 \n",
"SOUPRAMANIANE Pavitra 3.33 6.50 \n",
"TERBECHE Fatima 2.00 7.33 \n",
"UGURLU Rojin 2.67 6.67 \n",
"VALERE Laureen 2.00 7.50 \n",
"VAZ DE ALMEIDA Gabrielle 4.00 9.67 \n",
"\n",
" Exercice 3 (QCM) \n",
"AISSA Reda 1.5 \n",
"BENALIA Nassim 3.0 \n",
"BOUCETTA M'hamed 1.5 \n",
"DA COSTA SANTOS Pauline 0.0 \n",
"DE SOUZA Laurencia 3.0 \n",
"DIA Anais 1.5 \n",
"GEINDREAU Anne Lyse 1.0 \n",
"GIAHI KHOSHNAM Kimiya 1.5 \n",
"GOMES DOS SANTOS Mélina 3.0 \n",
"JOSEPH Lucie 3.0 \n",
"KENEMO Jordan 1.5 \n",
"LAHBATI Baddredine 2.5 \n",
"LELO Yokoche 1.5 \n",
"MBARKI Nesrin 3.0 \n",
"MEDJADIR Ikrame 3.0 \n",
"MOUGAMADOUSOULEMANE Nasrin 1.5 \n",
"MOUMNI Mohamed 1.5 \n",
"NKOUNKOU MOUANGASSA Primaëlle Allegresse 3.0 \n",
"PATRICK Alvin 1.5 \n",
"RIVART Morgane 3.0 \n",
"Safarnyan Vakil 3.0 \n",
"SENKAL Kursad 1.5 \n",
"SHABBIR Rukhssar 4.5 \n",
"SILMI Walid 1.5 \n",
"SOUPRAMANIANE Pavitra 1.5 \n",
"TERBECHE Fatima 3.0 \n",
"UGURLU Rojin 3.0 \n",
"VALERE Laureen 1.5 \n",
"VAZ DE ALMEIDA Gabrielle 3.0 "
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes[list_exo] = notes[list_exo].applymap(lambda x:round(x,2))\n",
"notes[list_exo]"
]
},
{
"cell_type": "code",
"execution_count": 22,
"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": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"['1 (tracer fonction)',\n",
" '2 (inéquation)',\n",
" '1.a (lecture graphique)',\n",
" '1.b (proportion)',\n",
" '1.c (lecture graphique)',\n",
" '1.d (lecture graphique)',\n",
" '2.a (dérivation)',\n",
" '2.b (etude de signe)',\n",
" '2.c (maximum)']"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sous_exo = [i for i in notes.T.index if i not in list_exo + [ds_name, \"Bonus\", \"Malus\", \"Num_sujet\"]]\n",
"sous_exo"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes[sous_exo] = notes[sous_exo].applymap(toRepVal)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"13"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(notes.T.index)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"bilan = texenv.get_template(\"tpl_bilan.tex\")\n",
"with open(\"./bilan.tex\",\"w\") as f:\n",
" f.write(bilan.render(eleves = notes, barem = barem, ds_name = ds_name))"
]
},
{
"cell_type": "code",
"execution_count": 102,
"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>DM_0327</th>\n",
" <th>Exercice 1</th>\n",
" <th>1.a</th>\n",
" <th>1.b</th>\n",
" <th>1.c</th>\n",
" <th>1.d</th>\n",
" <th>2.a</th>\n",
" <th>2.b</th>\n",
" <th>2.c</th>\n",
" <th>2.d</th>\n",
" <th>3.a</th>\n",
" <th>3.b</th>\n",
" <th>3.c</th>\n",
" <th>Malus</th>\n",
" <th>Exercice 2</th>\n",
" <th>Num_sujet</th>\n",
" <th>Raisonner</th>\n",
" <th>Communiquer</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>ANANTHARASA Kisojana</th>\n",
" <td>11</td>\n",
" <td>10.33</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>0.67</td>\n",
" <td>4</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepZ</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BAKAYOKO Aïcha</th>\n",
" <td>15</td>\n",
" <td>11.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>4.00</td>\n",
" <td>1</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BLAISE Emilie</th>\n",
" <td>13</td>\n",
" <td>9.33</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>4.00</td>\n",
" <td>1</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DRIDI Karim</th>\n",
" <td>11</td>\n",
" <td>11.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>0.00</td>\n",
" <td>1</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepZ</td>\n",
" </tr>\n",
" <tr>\n",
" <th>FADIGA Mohamed</th>\n",
" <td>12</td>\n",
" <td>11.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>1.33</td>\n",
" <td>4</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepD</td>\n",
" </tr>\n",
" <tr>\n",
" <th>FESSARD Katelyne</th>\n",
" <td>9</td>\n",
" <td>7.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\NoRep</td>\n",
" <td>\\RepT</td>\n",
" <td>\\NoRep</td>\n",
" <td>\\NoRep</td>\n",
" <td>\\NoRep</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>2.00</td>\n",
" <td>3</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepD</td>\n",
" </tr>\n",
" <tr>\n",
" <th>FUSCO Manon</th>\n",
" <td>12</td>\n",
" <td>10.67</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>1.33</td>\n",
" <td>2</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepU</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GILBERT Melissa</th>\n",
" <td>11</td>\n",
" <td>10.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>0.5</td>\n",
" <td>1.33</td>\n",
" <td>1</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepU</td>\n",
" </tr>\n",
" <tr>\n",
" <th>GUNARASA Rithurshan</th>\n",
" <td>12</td>\n",
" <td>10.33</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>2.00</td>\n",
" <td>2</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepU</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HAMLAOUI Fattouma</th>\n",
" <td>14</td>\n",
" <td>11.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>3.33</td>\n",
" <td>3</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>INACIO Bastien</th>\n",
" <td>13</td>\n",
" <td>10.67</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>2.00</td>\n",
" <td>1</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepD</td>\n",
" </tr>\n",
" <tr>\n",
" <th>JOHNSON Yannick</th>\n",
" <td>8</td>\n",
" <td>7.67</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\NoRep</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepD</td>\n",
" <td>NaN</td>\n",
" <td>0.00</td>\n",
" <td>NaN</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepZ</td>\n",
" </tr>\n",
" <tr>\n",
" <th>KEITA Yakaré</th>\n",
" <td>15</td>\n",
" <td>11.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>4.00</td>\n",
" <td>3</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>KONE Yacouba</th>\n",
" <td>15</td>\n",
" <td>11.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>4.00</td>\n",
" <td>3</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LE Quentin</th>\n",
" <td>9</td>\n",
" <td>7.67</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepD</td>\n",
" <td>NaN</td>\n",
" <td>1.33</td>\n",
" <td>2</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepU</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LOUKA Marina</th>\n",
" <td>13</td>\n",
" <td>10.67</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>2.67</td>\n",
" <td>2</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepD</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MATOS GOMES Jean Daniel</th>\n",
" <td>5</td>\n",
" <td>3.33</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepU</td>\n",
" <td>NaN</td>\n",
" <td>1.33</td>\n",
" <td>1b</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepU</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOALI Lauryn</th>\n",
" <td>13</td>\n",
" <td>10.33</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>2.67</td>\n",
" <td>2</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MONTAGNINI Cindy</th>\n",
" <td>15</td>\n",
" <td>11.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>4.00</td>\n",
" <td>1b</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NGO Viviane</th>\n",
" <td>13</td>\n",
" <td>10.33</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>2.67</td>\n",
" <td>1b</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepD</td>\n",
" </tr>\n",
" <tr>\n",
" <th>PEREIRA VAZ Luis Carlos</th>\n",
" <td>13</td>\n",
" <td>10.67</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>2.00</td>\n",
" <td>4</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepD</td>\n",
" </tr>\n",
" <tr>\n",
" <th>QADIR Maryam</th>\n",
" <td>11</td>\n",
" <td>7.00</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepU</td>\n",
" <td>NaN</td>\n",
" <td>4.00</td>\n",
" <td>3</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SAIDANE Maissa</th>\n",
" <td>11</td>\n",
" <td>6.67</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepZ</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>4.00</td>\n",
" <td>1</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SILVA Andre Luis</th>\n",
" <td>14</td>\n",
" <td>11.00</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>3.33</td>\n",
" <td>1</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>STAUFF Léna</th>\n",
" <td>14</td>\n",
" <td>10.33</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepU</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>\\RepT</td>\n",
" <td>NaN</td>\n",
" <td>3.33</td>\n",
" <td>2</td>\n",
" <td>\\RepD</td>\n",
" <td>\\RepT</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" DM_0327 Exercice 1 1.a 1.b 1.c 1.d \\\n",
"ANANTHARASA Kisojana 11 10.33 \\RepT \\RepT \\RepT \\RepD \n",
"BAKAYOKO Aïcha 15 11.00 \\RepT \\RepT \\RepT \\RepT \n",
"BLAISE Emilie 13 9.33 \\RepT \\RepD \\RepT \\RepT \n",
"DRIDI Karim 11 11.00 \\RepT \\RepT \\RepT \\RepT \n",
"FADIGA Mohamed 12 11.00 \\RepT \\RepT \\RepT \\RepT \n",
"FESSARD Katelyne 9 7.00 \\RepT \\RepT \\RepT \\NoRep \n",
"FUSCO Manon 12 10.67 \\RepT \\RepT \\RepT \\RepT \n",
"GILBERT Melissa 11 10.00 \\RepT \\RepD \\RepT \\RepD \n",
"GUNARASA Rithurshan 12 10.33 \\RepU \\RepT \\RepT \\RepT \n",
"HAMLAOUI Fattouma 14 11.00 \\RepT \\RepT \\RepT \\RepT \n",
"INACIO Bastien 13 10.67 \\RepT \\RepT \\RepD \\RepT \n",
"JOHNSON Yannick 8 7.67 \\RepT \\RepD \\RepD \\RepZ \n",
"KEITA Yakaré 15 11.00 \\RepT \\RepT \\RepT \\RepT \n",
"KONE Yacouba 15 11.00 \\RepT \\RepT \\RepT \\RepT \n",
"LE Quentin 9 7.67 \\RepT \\RepT \\RepT \\RepZ \n",
"LOUKA Marina 13 10.67 \\RepT \\RepT \\RepT \\RepD \n",
"MATOS GOMES Jean Daniel 5 3.33 \\RepD \\RepD \\RepZ \\RepZ \n",
"MOALI Lauryn 13 10.33 \\RepT \\RepU \\RepT \\RepT \n",
"MONTAGNINI Cindy 15 11.00 \\RepT \\RepT \\RepT \\RepT \n",
"NGO Viviane 13 10.33 \\RepT \\RepT \\RepT \\RepT \n",
"PEREIRA VAZ Luis Carlos 13 10.67 \\RepT \\RepT \\RepT \\RepT \n",
"QADIR Maryam 11 7.00 \\RepD \\RepT \\RepT \\RepU \n",
"SAIDANE Maissa 11 6.67 \\RepT \\RepD \\RepT \\RepZ \n",
"SILVA Andre Luis 14 11.00 \\RepT \\RepT \\RepT \\RepT \n",
"STAUFF Léna 14 10.33 \\RepT \\RepT \\RepT \\RepU \n",
"\n",
" 2.a 2.b 2.c 2.d 3.a 3.b 3.c \\\n",
"ANANTHARASA Kisojana \\RepT \\RepT \\RepT \\RepT \\RepT \\RepD \\RepT \n",
"BAKAYOKO Aïcha \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"BLAISE Emilie \\RepT \\RepZ \\RepT \\RepD \\RepT \\RepT \\RepT \n",
"DRIDI Karim \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"FADIGA Mohamed \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"FESSARD Katelyne \\RepT \\NoRep \\NoRep \\NoRep \\RepT \\RepT \\RepT \n",
"FUSCO Manon \\RepT \\RepT \\RepD \\RepT \\RepT \\RepT \\RepT \n",
"GILBERT Melissa \\RepT \\RepT \\RepT \\RepT \\RepT \\RepD \\RepT \n",
"GUNARASA Rithurshan \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"HAMLAOUI Fattouma \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"INACIO Bastien \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"JOHNSON Yannick \\RepT \\RepT \\NoRep \\RepT \\RepT \\RepD \\RepD \n",
"KEITA Yakaré \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"KONE Yacouba \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"LE Quentin \\RepT \\RepU \\RepT \\RepT \\RepZ \\RepD \\RepD \n",
"LOUKA Marina \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"MATOS GOMES Jean Daniel \\RepD \\RepZ \\RepZ \\RepZ \\RepD \\RepU \\RepU \n",
"MOALI Lauryn \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"MONTAGNINI Cindy \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"NGO Viviane \\RepT \\RepT \\RepT \\RepU \\RepT \\RepT \\RepT \n",
"PEREIRA VAZ Luis Carlos \\RepT \\RepT \\RepT \\RepT \\RepD \\RepT \\RepT \n",
"QADIR Maryam \\RepT \\RepZ \\RepZ \\RepT \\RepT \\RepD \\RepU \n",
"SAIDANE Maissa \\RepT \\RepZ \\RepZ \\RepZ \\RepT \\RepT \\RepT \n",
"SILVA Andre Luis \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"STAUFF Léna \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \n",
"\n",
" Malus Exercice 2 Num_sujet Raisonner Communiquer \n",
"ANANTHARASA Kisojana NaN 0.67 4 \\RepU \\RepZ \n",
"BAKAYOKO Aïcha NaN 4.00 1 \\RepT \\RepT \n",
"BLAISE Emilie NaN 4.00 1 \\RepT \\RepT \n",
"DRIDI Karim NaN 0.00 1 \\RepZ \\RepZ \n",
"FADIGA Mohamed NaN 1.33 4 \\RepZ \\RepD \n",
"FESSARD Katelyne NaN 2.00 3 \\RepU \\RepD \n",
"FUSCO Manon NaN 1.33 2 \\RepU \\RepU \n",
"GILBERT Melissa 0.5 1.33 1 \\RepU \\RepU \n",
"GUNARASA Rithurshan NaN 2.00 2 \\RepD \\RepU \n",
"HAMLAOUI Fattouma NaN 3.33 3 \\RepD \\RepT \n",
"INACIO Bastien NaN 2.00 1 \\RepU \\RepD \n",
"JOHNSON Yannick NaN 0.00 NaN \\RepZ \\RepZ \n",
"KEITA Yakaré NaN 4.00 3 \\RepT \\RepT \n",
"KONE Yacouba NaN 4.00 3 \\RepT \\RepT \n",
"LE Quentin NaN 1.33 2 \\RepU \\RepU \n",
"LOUKA Marina NaN 2.67 2 \\RepD \\RepD \n",
"MATOS GOMES Jean Daniel NaN 1.33 1b \\RepU \\RepU \n",
"MOALI Lauryn NaN 2.67 2 \\RepU \\RepT \n",
"MONTAGNINI Cindy NaN 4.00 1b \\RepT \\RepT \n",
"NGO Viviane NaN 2.67 1b \\RepD \\RepD \n",
"PEREIRA VAZ Luis Carlos NaN 2.00 4 \\RepU \\RepD \n",
"QADIR Maryam NaN 4.00 3 \\RepT \\RepT \n",
"SAIDANE Maissa NaN 4.00 1 \\RepT \\RepT \n",
"SILVA Andre Luis NaN 3.33 1 \\RepD \\RepT \n",
"STAUFF Léna NaN 3.33 2 \\RepD \\RepT "
]
},
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