{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import pandas as pd\n", "from texenv import texenv\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "notes = pd.read_excel(\"./../../../notes_1S.xls\",sheetname=\"DS_0323\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "Index(['DS_0323', 'av_arrondi', 'Exercice 1', '1.a (Calculer termes)', '1.b (Reconnaître géométrique)', '1.c (Relation explicite)', '1.d (Calculer terme)', '2.a (Reconnaître arithmétique)', '2.b (Équation)', '2.c (algorithme)', 'Exercice 2', '1 (Delta)', '1 (Racines)', '1 (Tableau de signe)', '1 (Inéquation)', '2 (Dérivation)', '2 (Étude de signe)', '2 (Variation)', 'malus', 'Exercice 3', 'Modéliser', 'Calculer', 'Communiquer'], dtype='object')" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "notes.index" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "notes = notes.T" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ "notes = notes.drop(\"av_arrondi\", axis=1)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "barem = notes[:1]\n", "notes = notes[1:]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [], "source": [ "notes = notes[notes[\"DS_0323\"].notnull()]" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [], "source": [ "notes = notes.astype(float)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "count 27.000000\n", "mean 10.666667\n", "std 3.968627\n", "min 2.000000\n", "25% 8.250000\n", "50% 11.000000\n", "75% 13.000000\n", "max 18.000000\n", "Name: DS_0323, dtype: float64" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "notes['DS_0323'].describe()" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [], "source": [ "list_exo = [\"Exercice 1\", \"Exercice 2\", \"Exercice 3\"]" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [], "source": [ "notes[list_exo] = notes[list_exo].applymap(lambda x:round(x,2))" ] }, { "cell_type": "code", "execution_count": 27, "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": 28, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "['1.a (Calculer termes)',\n", " '1.b (Reconnaître géométrique)',\n", " '1.c (Relation explicite)',\n", " '1.d (Calculer terme)',\n", " '2.a (Reconnaître arithmétique)',\n", " '2.b (Équation)',\n", " '2.c (algorithme)',\n", " '1 (Delta)',\n", " '1 (Racines)',\n", " '1 (Tableau de signe)',\n", " '1 (Inéquation)',\n", " '2 (Dérivation)',\n", " '2 (Étude de signe)',\n", " '2 (Variation)',\n", " 'malus',\n", " 'Modéliser',\n", " 'Calculer',\n", " 'Communiquer']" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sous_exo = [i for i in notes.T.index if i not in list_exo + ['DS_0323']]\n", "sous_exo" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": false }, "outputs": [], "source": [ "notes[sous_exo] = notes[sous_exo].applymap(toRepVal)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "22" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(notes.T.index)" ] }, { "cell_type": "code", "execution_count": 35, "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))" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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DS_0318nanExercice 11 (developper)2 (developper)Exercice 21.a (stat calculatrice)1.b (etendue interquartile)23.a (stat calculatrice)...2.c (equilibre)3 (force opposée)Exercice 41 (placer points)2 (calculer coord vecteurs)3 (paralellogramme)4.a (placer point)4.b (calculer coord point)5.a (placer point)5.b (calculer coord point)
ANANTHARASA Kisojana 8.5 8.500000 3.33 \\RepD \\RepD 2.50 \\RepT \\RepD NaN \\RepZ... NaN NaN 2.00 NaN \\RepT \\RepT NaN NaN NaN NaN
BAKAYOKO Aïcha 13.0 12.666667 4.00 \\RepD \\RepT 4.33 \\RepU \\RepT \\RepT \\RepU... NaN NaN 1.67 \\RepZ \\RepT \\RepD NaN NaN NaN NaN
BLAISE Emilie 4.5 4.250000 0.25 0.25 \\RepZ 2.67 \\RepD NaN \\RepD \\RepD... \\RepU NaN 1.00 \\RepT NaN NaN NaN NaN NaN NaN
CHOISI Geordy 6.5 6.416667 1.92 1.25 \\RepU 1.83 \\RepU NaN \\RepU \\RepT... \\RepD NaN 1.00 \\RepD \\RepU NaN NaN NaN NaN NaN
DRIDI Karim 11.0 10.833333 3.33 \\RepD \\RepD 2.17 \\RepU \\RepD \\RepZ \\RepU... \\RepU \\RepD 3.33 \\RepT \\RepU \\RepZ \\RepT \\RepZ \\RepT NaN
FADIGA Mohamed 12.0 11.833333 3.33 \\RepD \\RepD 1.50 \\RepT NaN NaN NaN... \\RepT NaN 3.00 \\RepT \\RepT \\RepD \\RepU NaN \\RepZ NaN
FESSARD Katelyne 14.0 13.666667 3.33 \\RepD \\RepD 6.00 \\RepT \\RepT \\RepT \\RepT... \\RepT NaN 0.33 \\RepZ \\RepZ \\RepU NaN NaN NaN NaN
FUSCO Manon 2.0 1.916667 1.25 1.25 \\RepZ 0.00 \\RepZ \\RepZ \\RepZ \\RepZ... NaN NaN 0.67 \\RepU NaN \\RepU NaN NaN NaN NaN
GILBERT Melissa 10.0 9.666667 4.00 \\RepD \\RepT 1.33 NaN \\RepD \\RepU NaN... \\RepT \\RepD 1.67 \\RepT \\RepD \\RepZ \\RepZ NaN NaN NaN
GUNARASA Rithurshan 19.0 19.333333 4.00 \\RepD \\RepT 3.67 \\RepD \\RepD \\RepD \\RepD... \\RepD \\RepT 7.00 \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT \\RepT
HAMLAOUI Fattouma 17.0 17.000000 4.00 \\RepD \\RepT 3.67 \\RepU \\RepT \\RepD \\RepU... \\RepT \\RepD 4.67 \\RepT \\RepT \\RepD \\RepT \\RepT NaN NaN
INACIO Bastien 17.0 16.666667 3.33 \\RepD \\RepD 5.33 \\RepT \\RepT \\RepD \\RepT... \\RepT \\RepD 4.00 \\RepT \\RepT \\RepD \\RepT \\RepU NaN NaN
JAMAL EL AMRANI Hafar 9.0 8.666667 2.33 \\RepU \\RepD 0.00 \\RepZ NaN NaN NaN... \\RepT \\RepD 3.33 \\RepT \\RepU \\RepZ \\RepT NaN \\RepT NaN
JOHNSON Yannick 9.5 9.500000 3.33 \\RepD \\RepD 2.50 \\RepD \\RepT \\RepZ NaN... \\RepZ NaN 1.67 \\RepT \\RepD \\RepZ \\RepZ NaN NaN NaN
KEITA Yakaré 13.0 13.000000 2.50 0.5 \\RepT 3.50 \\RepD \\RepT \\RepU \\RepD... \\RepU NaN 5.33 \\RepT \\RepT \\RepD \\RepT \\RepU \\RepT \\RepU
KONE Yacouba 19.0 19.250000 3.25 1.25 \\RepT 5.33 \\RepT \\RepT \\RepD \\RepT... \\RepT \\RepT 5.67 \\RepT \\RepT \\RepT \\RepT \\RepT \\RepZ \\RepD
LE Quentin 9.0 9.333333 3.00 \\RepU \\RepT 3.33 \\RepU \\RepT \\RepD \\RepU... NaN \\RepD 1.00 \\RepT NaN NaN NaN NaN NaN NaN
LOUKA Marina 15.0 14.666667 4.00 \\RepD \\RepT 5.00 \\RepT \\RepT \\RepD \\RepT... \\RepD \\RepD 2.33 \\RepT \\RepD \\RepZ \\RepZ \\RepD NaN NaN
MARIGA Alexis 6.0 5.666667 0.50 0.5 \\RepZ 2.50 \\RepT NaN \\RepD \\RepZ... NaN NaN 2.67 \\RepT \\RepD NaN \\RepT NaN NaN NaN
MATOS GOMES Jean Daniel 6.5 6.500000 0.67 \\RepZ \\RepU 1.83 \\RepT NaN \\RepU NaN... \\RepD \\RepD 1.67 \\RepT \\RepD NaN NaN NaN NaN NaN
MELAYAH Marwa 8.0 8.333333 2.67 \\RepD \\RepU 4.67 \\RepT \\RepT \\RepD \\RepT... NaN NaN 0.00 NaN NaN NaN NaN NaN NaN NaN
MOALI Lauryn 20.0 20.666667 4.00 \\RepD \\RepT 5.00 \\RepT \\RepT \\RepD \\RepT... \\RepT \\RepT 6.67 \\RepT \\RepT \\RepD \\RepT \\RepT \\RepT \\RepT
MONTAGNINI Cindy 16.0 15.833333 3.50 1.5 \\RepT 5.00 \\RepT \\RepT \\RepD \\RepT... \\RepT \\RepD 2.67 \\RepD \\RepT NaN \\RepT NaN NaN NaN
NGO Viviane 14.0 13.916667 2.08 0.75 \\RepD 4.50 \\RepT \\RepD \\RepD \\RepT... \\RepT NaN 3.67 \\RepD \\RepT \\RepU \\RepT \\RepD \\RepZ NaN
PEREIRA VAZ Luis Carlos 17.5 17.250000 2.58 1.25 \\RepD 5.00 \\RepT \\RepT \\RepD \\RepT... \\RepT \\RepT 4.67 \\RepT \\RepT \\RepZ \\RepT \\RepU \\RepT \\RepU
QADIR Maryam 14.0 14.333333 4.00 \\RepD \\RepT 2.00 \\RepD \\RepD NaN NaN... \\RepU \\RepZ 5.67 \\RepT \\RepT \\RepT \\RepT \\RepD \\RepT NaN
SAIDANE Maissa 10.5 10.583333 3.25 1.25 \\RepT 5.00 \\RepT \\RepT \\RepD \\RepT... \\RepT NaN 0.00 NaN NaN NaN NaN NaN NaN NaN
SANTOS DO CARMO Kevin 12.0 11.916667 0.75 0.75 \\RepZ 4.50 \\RepT \\RepD \\RepD \\RepT... \\RepD \\RepZ 3.00 \\RepT \\RepT \\RepZ \\RepT NaN NaN NaN
SILVA Andre Luis 15.0 14.916667 3.25 1.25 \\RepT 6.00 \\RepT \\RepT \\RepT \\RepT... \\RepT \\RepD 2.00 \\RepT \\RepT NaN NaN NaN NaN NaN
STAUFF Léna 16.0 15.666667 2.67 \\RepD \\RepU 5.00 \\RepT \\RepT \\RepD \\RepT... \\RepT \\RepT 3.00 \\RepT \\RepU \\RepD \\RepT NaN NaN NaN
\n", "

30 rows × 25 columns

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" ], "text/plain": [ " DS_0318 NaN Exercice 1 1 (developper) \\\n", "ANANTHARASA Kisojana 8.5 8.500000 3.33 \\RepD \n", "BAKAYOKO Aïcha 13.0 12.666667 4.00 \\RepD \n", "BLAISE Emilie 4.5 4.250000 0.25 0.25 \n", "CHOISI Geordy 6.5 6.416667 1.92 1.25 \n", "DRIDI Karim 11.0 10.833333 3.33 \\RepD \n", "FADIGA Mohamed 12.0 11.833333 3.33 \\RepD \n", "FESSARD Katelyne 14.0 13.666667 3.33 \\RepD \n", "FUSCO Manon 2.0 1.916667 1.25 1.25 \n", "GILBERT Melissa 10.0 9.666667 4.00 \\RepD \n", "GUNARASA Rithurshan 19.0 19.333333 4.00 \\RepD \n", "HAMLAOUI Fattouma 17.0 17.000000 4.00 \\RepD \n", "INACIO Bastien 17.0 16.666667 3.33 \\RepD \n", "JAMAL EL AMRANI Hafar 9.0 8.666667 2.33 \\RepU \n", "JOHNSON Yannick 9.5 9.500000 3.33 \\RepD \n", "KEITA Yakaré 13.0 13.000000 2.50 0.5 \n", "KONE Yacouba 19.0 19.250000 3.25 1.25 \n", "LE Quentin 9.0 9.333333 3.00 \\RepU \n", "LOUKA Marina 15.0 14.666667 4.00 \\RepD \n", "MARIGA Alexis 6.0 5.666667 0.50 0.5 \n", "MATOS GOMES Jean Daniel 6.5 6.500000 0.67 \\RepZ \n", "MELAYAH Marwa 8.0 8.333333 2.67 \\RepD \n", "MOALI Lauryn 20.0 20.666667 4.00 \\RepD \n", "MONTAGNINI Cindy 16.0 15.833333 3.50 1.5 \n", "NGO Viviane 14.0 13.916667 2.08 0.75 \n", "PEREIRA VAZ Luis Carlos 17.5 17.250000 2.58 1.25 \n", "QADIR Maryam 14.0 14.333333 4.00 \\RepD \n", "SAIDANE Maissa 10.5 10.583333 3.25 1.25 \n", "SANTOS DO CARMO Kevin 12.0 11.916667 0.75 0.75 \n", "SILVA Andre Luis 15.0 14.916667 3.25 1.25 \n", "STAUFF Léna 16.0 15.666667 2.67 \\RepD \n", "\n", " 2 (developper) Exercice 2 1.a (stat calculatrice) \\\n", "ANANTHARASA Kisojana \\RepD 2.50 \\RepT \n", "BAKAYOKO Aïcha \\RepT 4.33 \\RepU \n", "BLAISE Emilie \\RepZ 2.67 \\RepD \n", "CHOISI Geordy \\RepU 1.83 \\RepU \n", "DRIDI Karim \\RepD 2.17 \\RepU \n", "FADIGA Mohamed \\RepD 1.50 \\RepT \n", "FESSARD Katelyne \\RepD 6.00 \\RepT \n", "FUSCO Manon \\RepZ 0.00 \\RepZ \n", "GILBERT Melissa \\RepT 1.33 NaN \n", "GUNARASA Rithurshan \\RepT 3.67 \\RepD \n", "HAMLAOUI Fattouma \\RepT 3.67 \\RepU \n", "INACIO Bastien \\RepD 5.33 \\RepT \n", "JAMAL EL AMRANI Hafar \\RepD 0.00 \\RepZ \n", "JOHNSON Yannick \\RepD 2.50 \\RepD \n", "KEITA Yakaré \\RepT 3.50 \\RepD \n", "KONE Yacouba \\RepT 5.33 \\RepT \n", "LE Quentin \\RepT 3.33 \\RepU \n", "LOUKA Marina \\RepT 5.00 \\RepT \n", "MARIGA Alexis \\RepZ 2.50 \\RepT \n", "MATOS GOMES Jean Daniel \\RepU 1.83 \\RepT \n", "MELAYAH Marwa \\RepU 4.67 \\RepT \n", "MOALI Lauryn \\RepT 5.00 \\RepT \n", "MONTAGNINI Cindy \\RepT 5.00 \\RepT \n", "NGO Viviane \\RepD 4.50 \\RepT \n", "PEREIRA VAZ Luis Carlos \\RepD 5.00 \\RepT \n", "QADIR Maryam \\RepT 2.00 \\RepD \n", "SAIDANE Maissa \\RepT 5.00 \\RepT \n", "SANTOS DO CARMO Kevin \\RepZ 4.50 \\RepT \n", "SILVA Andre Luis \\RepT 6.00 \\RepT \n", "STAUFF Léna \\RepU 5.00 \\RepT \n", "\n", " 1.b (etendue interquartile) 2 \\\n", "ANANTHARASA Kisojana \\RepD NaN \n", "BAKAYOKO Aïcha \\RepT \\RepT \n", "BLAISE Emilie NaN \\RepD \n", "CHOISI Geordy NaN \\RepU \n", "DRIDI Karim \\RepD \\RepZ \n", "FADIGA Mohamed NaN NaN \n", "FESSARD Katelyne \\RepT \\RepT \n", "FUSCO Manon \\RepZ \\RepZ \n", "GILBERT Melissa \\RepD \\RepU \n", "GUNARASA Rithurshan \\RepD \\RepD \n", "HAMLAOUI Fattouma \\RepT \\RepD \n", "INACIO Bastien \\RepT \\RepD \n", "JAMAL EL AMRANI Hafar NaN NaN \n", "JOHNSON Yannick \\RepT \\RepZ \n", "KEITA Yakaré \\RepT \\RepU \n", "KONE Yacouba \\RepT \\RepD \n", "LE Quentin \\RepT \\RepD \n", "LOUKA Marina \\RepT \\RepD \n", "MARIGA Alexis NaN \\RepD \n", "MATOS GOMES Jean Daniel NaN \\RepU \n", "MELAYAH Marwa \\RepT \\RepD \n", "MOALI Lauryn \\RepT \\RepD \n", "MONTAGNINI Cindy \\RepT \\RepD \n", "NGO Viviane \\RepD \\RepD \n", "PEREIRA VAZ Luis Carlos \\RepT \\RepD \n", "QADIR Maryam \\RepD NaN \n", "SAIDANE Maissa \\RepT \\RepD \n", "SANTOS DO CARMO Kevin \\RepD \\RepD \n", "SILVA Andre Luis \\RepT \\RepT \n", "STAUFF Léna \\RepT \\RepD \n", "\n", " 3.a (stat calculatrice) ... \\\n", "ANANTHARASA Kisojana \\RepZ ... \n", "BAKAYOKO Aïcha \\RepU ... \n", "BLAISE Emilie \\RepD ... \n", "CHOISI Geordy \\RepT ... \n", "DRIDI Karim \\RepU ... \n", "FADIGA Mohamed NaN ... \n", "FESSARD Katelyne \\RepT ... \n", "FUSCO Manon \\RepZ ... \n", "GILBERT Melissa NaN ... \n", "GUNARASA Rithurshan \\RepD ... \n", "HAMLAOUI Fattouma \\RepU ... \n", "INACIO Bastien \\RepT ... \n", "JAMAL EL AMRANI Hafar NaN ... \n", "JOHNSON Yannick NaN ... \n", "KEITA Yakaré \\RepD ... \n", "KONE Yacouba \\RepT ... \n", "LE Quentin \\RepU ... \n", "LOUKA Marina \\RepT ... \n", "MARIGA Alexis \\RepZ ... \n", "MATOS GOMES Jean Daniel NaN ... \n", "MELAYAH Marwa \\RepT ... \n", "MOALI Lauryn \\RepT ... \n", "MONTAGNINI Cindy \\RepT ... \n", "NGO Viviane \\RepT ... \n", "PEREIRA VAZ Luis Carlos \\RepT ... \n", "QADIR Maryam NaN ... \n", "SAIDANE Maissa \\RepT ... \n", "SANTOS DO CARMO Kevin \\RepT ... \n", "SILVA Andre Luis \\RepT ... \n", "STAUFF Léna \\RepT ... \n", "\n", " 2.c (equilibre) 3 (force opposée) Exercice 4 \\\n", "ANANTHARASA Kisojana NaN NaN 2.00 \n", "BAKAYOKO Aïcha NaN NaN 1.67 \n", "BLAISE Emilie \\RepU NaN 1.00 \n", "CHOISI Geordy \\RepD NaN 1.00 \n", "DRIDI Karim \\RepU \\RepD 3.33 \n", "FADIGA Mohamed \\RepT NaN 3.00 \n", "FESSARD Katelyne \\RepT NaN 0.33 \n", "FUSCO Manon NaN NaN 0.67 \n", "GILBERT Melissa \\RepT \\RepD 1.67 \n", "GUNARASA Rithurshan \\RepD \\RepT 7.00 \n", "HAMLAOUI Fattouma \\RepT \\RepD 4.67 \n", "INACIO Bastien \\RepT \\RepD 4.00 \n", "JAMAL EL AMRANI Hafar \\RepT \\RepD 3.33 \n", "JOHNSON Yannick \\RepZ NaN 1.67 \n", "KEITA Yakaré \\RepU NaN 5.33 \n", "KONE Yacouba \\RepT \\RepT 5.67 \n", "LE Quentin NaN \\RepD 1.00 \n", "LOUKA Marina \\RepD \\RepD 2.33 \n", "MARIGA Alexis NaN NaN 2.67 \n", "MATOS GOMES Jean Daniel \\RepD \\RepD 1.67 \n", "MELAYAH Marwa NaN NaN 0.00 \n", "MOALI Lauryn \\RepT \\RepT 6.67 \n", "MONTAGNINI Cindy \\RepT \\RepD 2.67 \n", "NGO Viviane \\RepT NaN 3.67 \n", "PEREIRA VAZ Luis Carlos \\RepT \\RepT 4.67 \n", "QADIR Maryam \\RepU \\RepZ 5.67 \n", "SAIDANE Maissa \\RepT NaN 0.00 \n", "SANTOS DO CARMO Kevin \\RepD \\RepZ 3.00 \n", "SILVA Andre Luis \\RepT \\RepD 2.00 \n", "STAUFF Léna \\RepT \\RepT 3.00 \n", "\n", " 1 (placer points) 2 (calculer coord vecteurs) \\\n", "ANANTHARASA Kisojana NaN \\RepT \n", "BAKAYOKO Aïcha \\RepZ \\RepT \n", "BLAISE Emilie \\RepT NaN \n", "CHOISI Geordy \\RepD \\RepU \n", "DRIDI Karim \\RepT \\RepU \n", "FADIGA Mohamed \\RepT \\RepT \n", "FESSARD Katelyne \\RepZ \\RepZ \n", "FUSCO Manon \\RepU NaN \n", "GILBERT Melissa \\RepT \\RepD \n", "GUNARASA Rithurshan \\RepT \\RepT \n", "HAMLAOUI Fattouma \\RepT \\RepT \n", "INACIO Bastien \\RepT \\RepT \n", "JAMAL EL AMRANI Hafar \\RepT \\RepU \n", "JOHNSON Yannick \\RepT \\RepD \n", "KEITA Yakaré \\RepT \\RepT \n", "KONE Yacouba \\RepT \\RepT \n", "LE Quentin \\RepT NaN \n", "LOUKA Marina \\RepT \\RepD \n", "MARIGA Alexis \\RepT \\RepD \n", "MATOS GOMES Jean Daniel \\RepT \\RepD \n", "MELAYAH Marwa NaN NaN \n", "MOALI Lauryn \\RepT \\RepT \n", "MONTAGNINI Cindy \\RepD \\RepT \n", "NGO Viviane \\RepD \\RepT \n", "PEREIRA VAZ Luis Carlos \\RepT \\RepT \n", "QADIR Maryam \\RepT \\RepT \n", "SAIDANE Maissa NaN NaN \n", "SANTOS DO CARMO Kevin \\RepT \\RepT \n", "SILVA Andre Luis \\RepT \\RepT \n", "STAUFF Léna \\RepT \\RepU \n", "\n", " 3 (paralellogramme) 4.a (placer point) \\\n", "ANANTHARASA Kisojana \\RepT NaN \n", "BAKAYOKO Aïcha \\RepD NaN \n", "BLAISE Emilie NaN NaN \n", "CHOISI Geordy NaN NaN \n", "DRIDI Karim \\RepZ \\RepT \n", "FADIGA Mohamed \\RepD \\RepU \n", "FESSARD Katelyne \\RepU NaN \n", "FUSCO Manon \\RepU NaN \n", "GILBERT Melissa \\RepZ \\RepZ \n", "GUNARASA Rithurshan \\RepT \\RepT \n", "HAMLAOUI Fattouma \\RepD \\RepT \n", "INACIO Bastien \\RepD \\RepT \n", "JAMAL EL AMRANI Hafar \\RepZ \\RepT \n", "JOHNSON Yannick \\RepZ \\RepZ \n", "KEITA Yakaré \\RepD \\RepT \n", "KONE Yacouba \\RepT \\RepT \n", "LE Quentin NaN NaN \n", "LOUKA Marina \\RepZ \\RepZ \n", "MARIGA Alexis NaN \\RepT \n", "MATOS GOMES Jean Daniel NaN NaN \n", "MELAYAH Marwa NaN NaN \n", "MOALI Lauryn \\RepD \\RepT \n", "MONTAGNINI Cindy NaN \\RepT \n", "NGO Viviane \\RepU \\RepT \n", "PEREIRA VAZ Luis Carlos \\RepZ \\RepT \n", "QADIR Maryam \\RepT \\RepT \n", "SAIDANE Maissa NaN NaN \n", "SANTOS DO CARMO Kevin \\RepZ \\RepT \n", "SILVA Andre Luis NaN NaN \n", "STAUFF Léna \\RepD \\RepT \n", "\n", " 4.b (calculer coord point) 5.a (placer point) \\\n", "ANANTHARASA Kisojana NaN NaN \n", "BAKAYOKO Aïcha NaN NaN \n", "BLAISE Emilie NaN NaN \n", "CHOISI Geordy NaN NaN \n", "DRIDI Karim \\RepZ \\RepT \n", "FADIGA Mohamed NaN \\RepZ \n", "FESSARD Katelyne NaN NaN \n", "FUSCO Manon NaN NaN \n", "GILBERT Melissa NaN NaN \n", "GUNARASA Rithurshan \\RepT \\RepT \n", "HAMLAOUI Fattouma \\RepT NaN \n", "INACIO Bastien \\RepU NaN \n", "JAMAL EL AMRANI Hafar NaN \\RepT \n", "JOHNSON Yannick NaN NaN \n", "KEITA Yakaré \\RepU \\RepT \n", "KONE Yacouba \\RepT \\RepZ \n", "LE Quentin NaN NaN \n", "LOUKA Marina \\RepD NaN \n", "MARIGA Alexis NaN NaN \n", "MATOS GOMES Jean Daniel NaN NaN \n", "MELAYAH Marwa NaN NaN \n", "MOALI Lauryn \\RepT \\RepT \n", "MONTAGNINI Cindy NaN NaN \n", "NGO Viviane \\RepD \\RepZ \n", "PEREIRA VAZ Luis Carlos \\RepU \\RepT \n", "QADIR Maryam \\RepD \\RepT \n", "SAIDANE Maissa NaN NaN \n", "SANTOS DO CARMO Kevin NaN NaN \n", "SILVA Andre Luis NaN NaN \n", "STAUFF Léna NaN NaN \n", "\n", " 5.b (calculer coord point) \n", "ANANTHARASA Kisojana NaN \n", "BAKAYOKO Aïcha NaN \n", "BLAISE Emilie NaN \n", "CHOISI Geordy NaN \n", "DRIDI Karim NaN \n", "FADIGA Mohamed NaN \n", "FESSARD Katelyne NaN \n", "FUSCO Manon NaN \n", "GILBERT Melissa NaN \n", "GUNARASA Rithurshan \\RepT \n", "HAMLAOUI Fattouma NaN \n", "INACIO Bastien NaN \n", "JAMAL EL AMRANI Hafar NaN \n", "JOHNSON Yannick NaN \n", "KEITA Yakaré \\RepU \n", "KONE Yacouba \\RepD \n", "LE Quentin NaN \n", "LOUKA Marina NaN \n", "MARIGA Alexis NaN \n", "MATOS GOMES Jean Daniel NaN \n", "MELAYAH Marwa NaN \n", "MOALI Lauryn \\RepT \n", "MONTAGNINI Cindy NaN \n", "NGO Viviane NaN \n", "PEREIRA VAZ Luis Carlos \\RepU \n", "QADIR Maryam NaN \n", "SAIDANE Maissa NaN \n", "SANTOS DO CARMO Kevin NaN \n", "SILVA Andre Luis NaN \n", "STAUFF Léna NaN \n", "\n", "[30 rows x 25 columns]" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "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 }