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Récupération de tout ce qui avait été fait!
2017-08-24 16:48:38 +00:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 90,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import pandas as pd\n",
"from opytex import texenv\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"plt.style.use(\"seaborn-notebook\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Informations sur le devoir"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"{'classe': '', 'date': '', 'titre': ''}"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds_name = \"\"\n",
"classe = \"\"\n",
"\n",
"latex_info = {}\n",
"latex_info['titre'] = \"\"\n",
"latex_info['classe'] = \"\"\n",
"latex_info['date'] = \"\"\n",
"latex_info"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Import et premiers traitements"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [],
"source": [
"notes = pd.ExcelFile(\"./../../../../notes/\"+classe+\".xlsx\")\n",
"notes.sheet_names\n",
"notes = notes.parse(ds_name)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"Index(['BB_16_01_23', 'Présentation', 'Exercice 1', 'Réponse', 'Rédaction',\n",
" 'Exercice 2', '1. Developper', '2. Evaluer', 'Exercice 3',\n",
" 'Comparaison', 'Pythagore', 'Thalès', 'Exercice 4', '1. Lecture',\n",
" '2. Max', '3. Moyenne', '4. Etendue', '5. Médiane', 'Exercice 5',\n",
" '1. Opérations', '2. Équation', '3. Probabilité', 'Exercice 6',\n",
" '1. Tableur', '2. Tableur', '3. PGCD', '4. Fraction',\n",
" 'Exercice 7 (QCM)'],\n",
" 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)\n",
"#notes = notes.drop('num_sujet', 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": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>BB_16_01_23</th>\n",
" <th>Présentation</th>\n",
" <th>Exercice 1</th>\n",
" <th>Réponse</th>\n",
" <th>Rédaction</th>\n",
" <th>Exercice 2</th>\n",
" <th>1. Developper</th>\n",
" <th>2. Evaluer</th>\n",
" <th>Exercice 3</th>\n",
" <th>Comparaison</th>\n",
" <th>...</th>\n",
" <th>Exercice 5</th>\n",
" <th>1. Opérations</th>\n",
" <th>2. Équation</th>\n",
" <th>3. Probabilité</th>\n",
" <th>Exercice 6</th>\n",
" <th>1. Tableur</th>\n",
" <th>2. Tableur</th>\n",
" <th>3. PGCD</th>\n",
" <th>4. Fraction</th>\n",
" <th>Exercice 7 (QCM)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>ABDOU Farida</th>\n",
" <td>22.0</td>\n",
" <td>3</td>\n",
" <td>2.333333</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>6.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ABOU BACAR Djaha</th>\n",
" <td>20.0</td>\n",
" <td>3</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.666667</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AHAMADA Nabaouya</th>\n",
" <td>23.0</td>\n",
" <td>4</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1.666667</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>4.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>4.5</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>AHAMADI Faina</th>\n",
" <td>9.0</td>\n",
" <td>4</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.5</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ALI Mardhuia</th>\n",
" <td>20.5</td>\n",
" <td>4</td>\n",
" <td>1.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4.000000</td>\n",
" <td>3</td>\n",
" <td>...</td>\n",
" <td>1.333333</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2.5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ALI SOULAIMANA Chamsia</th>\n",
" <td>24.0</td>\n",
" <td>4</td>\n",
" <td>1.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>6.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3.5</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ALSENE ALI MADI Stela</th>\n",
" <td>14.5</td>\n",
" <td>4</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>2.666667</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ANDRIATAHIANA Hoby</th>\n",
" <td>22.5</td>\n",
" <td>4</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.666667</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>3.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>1.333333</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2.5</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ANLI Emeline</th>\n",
" <td>13.0</td>\n",
" <td>3</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.333333</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>1.5</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ATHOUMANE Naouidat</th>\n",
" <td>19.5</td>\n",
" <td>4</td>\n",
" <td>1.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1.666667</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>5.666667</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.5</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>BOUDRA Nassifanya</th>\n",
" <td>27.0</td>\n",
" <td>3</td>\n",
" <td>1.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>2.000000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>6.000000</td>\n",
" <td>3</td>\n",
" <td>...</td>\n",
" <td>1.333333</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5.5</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>CHANFI Nadhrati</th>\n",
" <td>10.5</td>\n",
" <td>4</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.5</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>COMBO Moinécha</th>\n",
" <td>26.0</td>\n",
" <td>2</td>\n",
" <td>1.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>6.000000</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>2.666667</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>3.0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HALIDI Nisma</th>\n",
" <td>26.0</td>\n",
" <td>4</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>6.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>2.000000</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>4.5</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HAMZA Samianti</th>\n",
" <td>16.0</td>\n",
" <td>4</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2.000000</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>0.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HOUMADI Mouslimati</th>\n",
" <td>17.0</td>\n",
" <td>2</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>2.000000</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HOUMADI Chaharazadi</th>\n",
" <td>22.0</td>\n",
" <td>4</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>5.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>1.333333</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1.5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HOUMADI Nasmi</th>\n",
" <td>20.0</td>\n",
" <td>4</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4.5</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>HOUMADI Dhoirfia</th>\n",
" <td>21.5</td>\n",
" <td>3</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>5.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>4.0</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>LOUTOUFI Nachima</th>\n",
" <td>14.5</td>\n",
" <td>4</td>\n",
" <td>1.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>0.333333</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MALIDE El-Anzize</th>\n",
" <td>18.5</td>\n",
" <td>4</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.333333</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>6.000000</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MONNE Kevin</th>\n",
" <td>24.0</td>\n",
" <td>4</td>\n",
" <td>1.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2.666667</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>4.000000</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>3.5</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MOUSSA Roibouanti</th>\n",
" <td>24.0</td>\n",
" <td>3</td>\n",
" <td>1.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>2.000000</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>3.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>1.333333</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>3.5</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>OUSSENI Hilma</th>\n",
" <td>18.0</td>\n",
" <td>4</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4.000000</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.5</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SAANLI Natali</th>\n",
" <td>31.0</td>\n",
" <td>3</td>\n",
" <td>3.000000</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2.000000</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>6.666667</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>4.000000</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>4.5</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SAID AHAMADA Roukaya</th>\n",
" <td>20.5</td>\n",
" <td>4</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.666667</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>4.5</td>\n",
" <td>3</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SANDA Issoufi</th>\n",
" <td>13.0</td>\n",
" <td>4</td>\n",
" <td>1.666667</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>0.333333</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.5</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SOILIHI Soifia</th>\n",
" <td>20.5</td>\n",
" <td>4</td>\n",
" <td>1.333333</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0.666667</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>2.333333</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>2.000000</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SOUFIANI Laila</th>\n",
" <td>10.5</td>\n",
" <td>4</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.333333</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.5</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>YOUSSOUF Sitirati</th>\n",
" <td>10.5</td>\n",
" <td>4</td>\n",
" <td>1.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.333333</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>0.666667</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>30 rows × 28 columns</p>\n",
"</div>"
],
"text/plain": [
" BB_16_01_23 Présentation Exercice 1 Réponse \\\n",
"ABDOU Farida 22.0 3 2.333333 3 \n",
"ABOU BACAR Djaha 20.0 3 1.333333 2 \n",
"AHAMADA Nabaouya 23.0 4 1.000000 1 \n",
"AHAMADI Faina 9.0 4 0.666667 0 \n",
"ALI Mardhuia 20.5 4 1.666667 3 \n",
"ALI SOULAIMANA Chamsia 24.0 4 1.666667 3 \n",
"ALSENE ALI MADI Stela 14.5 4 1.333333 2 \n",
"ANDRIATAHIANA Hoby 22.5 4 1.333333 2 \n",
"ANLI Emeline 13.0 3 0.666667 0 \n",
"ATHOUMANE Naouidat 19.5 4 1.666667 3 \n",
"BOUDRA Nassifanya 27.0 3 1.666667 3 \n",
"CHANFI Nadhrati 10.5 4 0.666667 0 \n",
"COMBO Moinécha 26.0 2 1.666667 3 \n",
"HALIDI Nisma 26.0 4 1.000000 1 \n",
"HAMZA Samianti 16.0 4 0.666667 0 \n",
"HOUMADI Mouslimati 17.0 2 1.333333 2 \n",
"HOUMADI Chaharazadi 22.0 4 1.333333 2 \n",
"HOUMADI Nasmi 20.0 4 1.333333 2 \n",
"HOUMADI Dhoirfia 21.5 3 1.333333 2 \n",
"LOUTOUFI Nachima 14.5 4 1.666667 3 \n",
"MALIDE El-Anzize 18.5 4 1.000000 1 \n",
"MONNE Kevin 24.0 4 1.666667 3 \n",
"MOUSSA Roibouanti 24.0 3 1.666667 3 \n",
"OUSSENI Hilma 18.0 4 1.333333 2 \n",
"SAANLI Natali 31.0 3 3.000000 3 \n",
"SAID AHAMADA Roukaya 20.5 4 0.000000 NaN \n",
"SANDA Issoufi 13.0 4 1.666667 3 \n",
"SOILIHI Soifia 20.5 4 1.333333 2 \n",
"SOUFIANI Laila 10.5 4 0.666667 0 \n",
"YOUSSOUF Sitirati 10.5 4 1.000000 1 \n",
"\n",
" Rédaction Exercice 2 1. Developper 2. Evaluer \\\n",
"ABDOU Farida 2 0.666667 1 0 \n",
"ABOU BACAR Djaha 1 1.666667 2 1 \n",
"AHAMADA Nabaouya 1 1.666667 2 1 \n",
"AHAMADI Faina 1 1.000000 1 1 \n",
"ALI Mardhuia 1 1.000000 1 1 \n",
"ALI SOULAIMANA Chamsia 1 1.333333 2 0 \n",
"ALSENE ALI MADI Stela 1 1.000000 1 1 \n",
"ANDRIATAHIANA Hoby 1 1.666667 2 1 \n",
"ANLI Emeline 1 0.333333 0 1 \n",
"ATHOUMANE Naouidat 1 1.666667 2 1 \n",
"BOUDRA Nassifanya 1 2.000000 3 0 \n",
"CHANFI Nadhrati 1 0.000000 0 0 \n",
"COMBO Moinécha 1 0.666667 1 0 \n",
"HALIDI Nisma 1 0.000000 0 0 \n",
"HAMZA Samianti 1 2.000000 3 0 \n",
"HOUMADI Mouslimati 1 0.666667 1 0 \n",
"HOUMADI Chaharazadi 1 1.000000 1 1 \n",
"HOUMADI Nasmi 1 1.000000 1 1 \n",
"HOUMADI Dhoirfia 1 1.333333 2 0 \n",
"LOUTOUFI Nachima 1 0.333333 0 1 \n",
"MALIDE El-Anzize 1 0.333333 0 1 \n",
"MONNE Kevin 1 1.000000 1 1 \n",
"MOUSSA Roibouanti 1 2.000000 2 2 \n",
"OUSSENI Hilma 1 0.666667 1 0 \n",
"SAANLI Natali 3 2.000000 2 2 \n",
"SAID AHAMADA Roukaya NaN 1.666667 2 1 \n",
"SANDA Issoufi 1 0.333333 0 1 \n",
"SOILIHI Soifia 1 0.666667 1 0 \n",
"SOUFIANI Laila 1 0.333333 0 1 \n",
"YOUSSOUF Sitirati 1 0.333333 0 1 \n",
"\n",
" Exercice 3 Comparaison ... Exercice 5 \\\n",
"ABDOU Farida 6.333333 1 ... 0.000000 \n",
"ABOU BACAR Djaha 4.000000 3 ... 0.666667 \n",
"AHAMADA Nabaouya 4.333333 1 ... 0.000000 \n",
"AHAMADI Faina 0.000000 0 ... 0.666667 \n",
"ALI Mardhuia 4.000000 3 ... 1.333333 \n",
"ALI SOULAIMANA Chamsia 6.333333 1 ... 0.666667 \n",
"ALSENE ALI MADI Stela 2.000000 NaN ... 2.666667 \n",
"ANDRIATAHIANA Hoby 3.000000 NaN ... 1.333333 \n",
"ANLI Emeline 1.000000 NaN ... 0.000000 \n",
"ATHOUMANE Naouidat 5.666667 2 ... 0.000000 \n",
"BOUDRA Nassifanya 6.000000 3 ... 1.333333 \n",
"CHANFI Nadhrati 0.000000 NaN ... 0.666667 \n",
"COMBO Moinécha 6.000000 0 ... 2.666667 \n",
"HALIDI Nisma 6.333333 1 ... 2.000000 \n",
"HAMZA Samianti 0.333333 1 ... 0.000000 \n",
"HOUMADI Mouslimati 2.333333 1 ... 2.000000 \n",
"HOUMADI Chaharazadi 5.000000 NaN ... 1.333333 \n",
"HOUMADI Nasmi 0.333333 1 ... 0.666667 \n",
"HOUMADI Dhoirfia 5.000000 NaN ... 0.666667 \n",
"LOUTOUFI Nachima 1.333333 1 ... 0.000000 \n",
"MALIDE El-Anzize 6.000000 0 ... 0.000000 \n",
"MONNE Kevin 2.666667 2 ... 4.000000 \n",
"MOUSSA Roibouanti 3.333333 1 ... 1.333333 \n",
"OUSSENI Hilma 4.000000 0 ... 0.666667 \n",
"SAANLI Natali 6.666667 2 ... 4.000000 \n",
"SAID AHAMADA Roukaya 0.000000 NaN ... 0.666667 \n",
"SANDA Issoufi 0.000000 NaN ... 0.666667 \n",
"SOILIHI Soifia 2.333333 1 ... 2.000000 \n",
"SOUFIANI Laila 0.000000 NaN ... 0.000000 \n",
"YOUSSOUF Sitirati 1.000000 NaN ... 0.666667 \n",
"\n",
" 1. Opérations 2. Équation 3. Probabilité \\\n",
"ABDOU Farida NaN NaN NaN \n",
"ABOU BACAR Djaha 1 NaN NaN \n",
"AHAMADA Nabaouya 0 0 0 \n",
"AHAMADI Faina 0 0 1 \n",
"ALI Mardhuia 1 0 1 \n",
"ALI SOULAIMANA Chamsia 1 0 0 \n",
"ALSENE ALI MADI Stela 1 1 2 \n",
"ANDRIATAHIANA Hoby 0 1 1 \n",
"ANLI Emeline NaN NaN 0 \n",
"ATHOUMANE Naouidat 0 0 0 \n",
"BOUDRA Nassifanya 1 0 1 \n",
"CHANFI Nadhrati 1 0 0 \n",
"COMBO Moinécha 2 2 NaN \n",
"HALIDI Nisma 1 0 2 \n",
"HAMZA Samianti 0 NaN NaN \n",
"HOUMADI Mouslimati 1 2 NaN \n",
"HOUMADI Chaharazadi 0 1 1 \n",
"HOUMADI Nasmi 0 0 1 \n",
"HOUMADI Dhoirfia 0 0 1 \n",
"LOUTOUFI Nachima 0 0 NaN \n",
"MALIDE El-Anzize 0 0 0 \n",
"MONNE Kevin 2 2 2 \n",
"MOUSSA Roibouanti 1 0 1 \n",
"OUSSENI Hilma 0 0 1 \n",
"SAANLI Natali 2 3 1 \n",
"SAID AHAMADA Roukaya 0 NaN 1 \n",
"SANDA Issoufi 1 0 0 \n",
"SOILIHI Soifia 2 0 1 \n",
"SOUFIANI Laila 0 0 0 \n",
"YOUSSOUF Sitirati 0 1 NaN \n",
"\n",
" Exercice 6 1. Tableur 2. Tableur 3. PGCD \\\n",
"ABDOU Farida 1.0 1 1 0 \n",
"ABOU BACAR Djaha 0.0 NaN NaN NaN \n",
"AHAMADA Nabaouya 4.5 3 1 3 \n",
"AHAMADI Faina 1.5 0 1 0 \n",
"ALI Mardhuia 2.5 0 0 2 \n",
"ALI SOULAIMANA Chamsia 3.5 3 NaN 3 \n",
"ALSENE ALI MADI Stela 0.0 NaN NaN NaN \n",
"ANDRIATAHIANA Hoby 2.5 2 NaN NaN \n",
"ANLI Emeline 1.5 NaN NaN NaN \n",
"ATHOUMANE Naouidat 1.5 NaN NaN 3 \n",
"BOUDRA Nassifanya 5.5 3 2 3 \n",
"CHANFI Nadhrati 0.5 NaN 0 0 \n",
"COMBO Moinécha 3.0 2 0 1 \n",
"HALIDI Nisma 4.5 3 0 3 \n",
"HAMZA Samianti 1.0 0 0 0 \n",
"HOUMADI Mouslimati 0.0 NaN NaN NaN \n",
"HOUMADI Chaharazadi 1.5 0 0 0 \n",
"HOUMADI Nasmi 4.5 3 NaN 3 \n",
"HOUMADI Dhoirfia 4.0 3 0 2 \n",
"LOUTOUFI Nachima 1.0 1 0 0 \n",
"MALIDE El-Anzize 1.0 NaN NaN NaN \n",
"MONNE Kevin 3.5 3 0 2 \n",
"MOUSSA Roibouanti 3.5 2 0 2 \n",
"OUSSENI Hilma 0.5 0 0 0 \n",
"SAANLI Natali 4.5 3 NaN 3 \n",
"SAID AHAMADA Roukaya 4.5 3 NaN 3 \n",
"SANDA Issoufi 1.5 1 0 2 \n",
"SOILIHI Soifia 2.0 NaN NaN 3 \n",
"SOUFIANI Laila 1.5 0 NaN 3 \n",
"YOUSSOUF Sitirati 1.0 NaN NaN 2 \n",
"\n",
" 4. Fraction Exercice 7 (QCM) \n",
"ABDOU Farida NaN 3 \n",
"ABOU BACAR Djaha NaN 4 \n",
"AHAMADA Nabaouya 2 2 \n",
"AHAMADI Faina 2 1 \n",
"ALI Mardhuia 3 2 \n",
"ALI SOULAIMANA Chamsia 1 3 \n",
"ALSENE ALI MADI Stela NaN 0 \n",
"ANDRIATAHIANA Hoby 3 3 \n",
"ANLI Emeline 3 3 \n",
"ATHOUMANE Naouidat 0 1 \n",
"BOUDRA Nassifanya 3 3 \n",
"CHANFI Nadhrati 1 3 \n",
"COMBO Moinécha 3 4 \n",
"HALIDI Nisma 3 4 \n",
"HAMZA Samianti 2 4 \n",
"HOUMADI Mouslimati NaN 5 \n",
"HOUMADI Chaharazadi 3 4 \n",
"HOUMADI Nasmi 3 3 \n",
"HOUMADI Dhoirfia 3 3 \n",
"LOUTOUFI Nachima 1 3 \n",
"MALIDE El-Anzize 2 2 \n",
"MONNE Kevin 2 3 \n",
"MOUSSA Roibouanti 3 4 \n",
"OUSSENI Hilma 1 2 \n",
"SAANLI Natali 3 2 \n",
"SAID AHAMADA Roukaya 3 4 \n",
"SANDA Issoufi 0 3 \n",
"SOILIHI Soifia 1 5 \n",
"SOUFIANI Laila 0 2 \n",
"YOUSSOUF Sitirati NaN 0 \n",
"\n",
"[30 rows x 28 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes\n",
"#barem"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Supression des notes inutiles "
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/lafrite/.virtualenvs/enseignement/lib/python3.5/site-packages/pandas/core/ops.py:680: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
" result = getattr(x, name)(y)\n"
]
},
{
"ename": "TypeError",
"evalue": "invalid type comparison",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-9-5bb918f5a68f>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mnotes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnotes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mnotes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mds_name\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnotnull\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mnotes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnotes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mnotes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mds_name\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;34m'abs'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32m/home/lafrite/.virtualenvs/enseignement/lib/python3.5/site-packages/pandas/core/ops.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(self, other, axis)\u001b[0m\n\u001b[0;32m 724\u001b[0m \u001b[0mother\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mother\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 725\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 726\u001b[1;33m \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mna_op\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mother\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 727\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misscalar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mres\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 728\u001b[0m raise TypeError('Could not compare %s type with Series'\n",
"\u001b[1;32m/home/lafrite/.virtualenvs/enseignement/lib/python3.5/site-packages/pandas/core/ops.py\u001b[0m in \u001b[0;36mna_op\u001b[1;34m(x, y)\u001b[0m\n\u001b[0;32m 680\u001b[0m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 681\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNotImplemented\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 682\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"invalid type comparison\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 683\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 684\u001b[0m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mTypeError\u001b[0m: invalid type comparison"
]
}
],
"source": [
"notes = notes[notes[ds_name].notnull()]\n",
"notes = notes[notes[ds_name] != 'abs']"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes = notes.astype(float)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Traitement des notes"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"Index(['BB_16_01_23', 'Présentation', 'Exercice 1', 'Réponse', 'Rédaction',\n",
" 'Exercice 2', '1. Developper', '2. Evaluer', 'Exercice 3',\n",
" 'Comparaison', 'Pythagore', 'Thalès', 'Exercice 4', '1. Lecture',\n",
" '2. Max', '3. Moyenne', '4. Etendue', '5. Médiane', 'Exercice 5',\n",
" '1. Opérations', '2. Équation', '3. Probabilité', 'Exercice 6',\n",
" '1. Tableur', '2. Tableur', '3. PGCD', '4. Fraction',\n",
" 'Exercice 7 (QCM)'],\n",
" dtype='object')"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes.T.index"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Liste des exercices (non noté en compétences)"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": false
},
"source": [
"list_exo = [\"Exercice \"+str(i+1) for i in range(6)] + [\"Exercice 7 (QCM)\"]\n",
"list_exo"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Les autres types de notes (presentation, malus...) qui ne sont pas en compétences"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"autres_notes = [\"Présentation\"]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes[list_exo] = notes[list_exo].applymap(lambda x:round(x,2))\n",
"#notes[list_exo]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Les éléments avec notes et les éléments par compétences (sous_exo)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"['Réponse',\n",
" 'Rédaction',\n",
" '1. Developper',\n",
" '2. Evaluer',\n",
" 'Comparaison',\n",
" 'Pythagore',\n",
" 'Thalès',\n",
" '1. Lecture',\n",
" '2. Max',\n",
" '3. Moyenne',\n",
" '4. Etendue',\n",
" '5. Médiane',\n",
" '1. Opérations',\n",
" '2. Équation',\n",
" '3. Probabilité',\n",
" '1. Tableur',\n",
" '2. Tableur',\n",
" '3. PGCD',\n",
" '4. Fraction']"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"item_avec_note = list_exo + [ds_name] + autres_notes\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": 16,
"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": 17,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"notes[item_avec_note] = notes[item_avec_note].fillna(\".\")\n",
"#notes"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"eleves = notes.copy()\n",
"eleves[sous_exo] = notes[sous_exo].applymap(toRepVal)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"28"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(notes.T.index)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Preparation du fichier .tex"
]
},
{
"cell_type": "code",
"execution_count": 247,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"#eleves"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"bilan = texenv.get_template(\"tpl_bilan.tex\")\n",
"with open(\"./bilan\"+classe+\".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": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"count 30.000000\n",
"mean 19.300000\n",
"std 5.518933\n",
"min 9.000000\n",
"25% 14.875000\n",
"50% 20.250000\n",
"75% 22.875000\n",
"max 31.000000\n",
"Name: BB_16_01_23, dtype: float64"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes[ds_name].describe()"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x7fbb35389278>"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA60AAAG5CAYAAABlfdJ7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFQAAgGmJVgAAAKYlWgE
"text/plain": [
"<matplotlib.figure.Figure at 0x7fbb353d1c50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#notes_seules = notes[ds_name]\n",
"ax = notes[ds_name].hist(bins = barem[ds_name][0], range=(0,barem[ds_name][0]), figsize = (16,7), )\n",
"ax.set_xlabel(\"Notes\")\n",
"ax.set_ylabel(\"Effectif\")\n",
"#notes_seules.hist()"
]
},
{
"cell_type": "code",
"execution_count": 246,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7fbb2d7e3be0>"
]
},
"execution_count": 246,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7fbb2d4c8208>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Normalisation des notes de chaque exo\n",
"notes_exo_norm = notes[list_exo] / barem[list_exo].values[0,:]\n",
"#notes_exo_norm\n",
"ax = notes_exo_norm.T.plot(color = \"gray\", legend = False, figsize = (16, 7))\n",
"d_norm = notes_exo_norm.describe()\n",
"d_norm.T[[\"min\", \"25%\", \"50%\", \"75%\", \"max\"]].plot(ax=ax, kind=\"area\", stacked = False, alpha=.1)"
]
},
{
"cell_type": "code",
"execution_count": 180,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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"text/plain": [
"<matplotlib.figure.Figure at 0x7fbb2e77ceb8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = notes[list_exo].hist(figsize = (16,8))"
]
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Réponse</th>\n",
" <th>Rédaction</th>\n",
" <th>1. Developper</th>\n",
" <th>2. Evaluer</th>\n",
" <th>Comparaison</th>\n",
" <th>Pythagore</th>\n",
" <th>Thalès</th>\n",
" <th>1. Lecture</th>\n",
" <th>2. Max</th>\n",
" <th>3. Moyenne</th>\n",
" <th>4. Etendue</th>\n",
" <th>5. Médiane</th>\n",
" <th>1. Opérations</th>\n",
" <th>2. Équation</th>\n",
" <th>3. Probabilité</th>\n",
" <th>1. Tableur</th>\n",
" <th>2. Tableur</th>\n",
" <th>3. PGCD</th>\n",
" <th>4. Fraction</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>29.000000</td>\n",
" <td>29.000000</td>\n",
" <td>30.000000</td>\n",
" <td>30.000000</td>\n",
" <td>20.000000</td>\n",
" <td>21.000000</td>\n",
" <td>19.000000</td>\n",
" <td>30.000000</td>\n",
" <td>29.000000</td>\n",
" <td>29.000000</td>\n",
" <td>30.000000</td>\n",
" <td>30.000000</td>\n",
" <td>28.000000</td>\n",
" <td>25.00000</td>\n",
" <td>23.000000</td>\n",
" <td>21.000000</td>\n",
" <td>16.00000</td>\n",
" <td>24.000000</td>\n",
" <td>25.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>1.896552</td>\n",
" <td>1.103448</td>\n",
" <td>1.166667</td>\n",
" <td>0.700000</td>\n",
" <td>1.250000</td>\n",
" <td>2.571429</td>\n",
" <td>1.736842</td>\n",
" <td>2.900000</td>\n",
" <td>2.862069</td>\n",
" <td>1.551724</td>\n",
" <td>1.633333</td>\n",
" <td>1.566667</td>\n",
" <td>0.642857</td>\n",
" <td>0.52000</td>\n",
" <td>0.782609</td>\n",
" <td>1.714286</td>\n",
" <td>0.31250</td>\n",
" <td>1.791667</td>\n",
" <td>2.040000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>1.113066</td>\n",
" <td>0.409253</td>\n",
" <td>0.912871</td>\n",
" <td>0.595963</td>\n",
" <td>0.966546</td>\n",
" <td>0.676123</td>\n",
" <td>1.194529</td>\n",
" <td>0.547723</td>\n",
" <td>0.580895</td>\n",
" <td>1.241721</td>\n",
" <td>1.217214</td>\n",
" <td>0.897634</td>\n",
" <td>0.731021</td>\n",
" <td>0.87178</td>\n",
" <td>0.671262</td>\n",
" <td>1.309307</td>\n",
" <td>0.60208</td>\n",
" <td>1.284664</td>\n",
" <td>1.098484</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>0.250000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" <td>0.500000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.250000</td>\n",
" <td>1.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>0.000000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>3.000000</td>\n",
" <td>2.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" <td>2.000000</td>\n",
" <td>0.500000</td>\n",
" <td>0.00000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" <td>0.00000</td>\n",
" <td>2.000000</td>\n",
" <td>2.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>3.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.00000</td>\n",
" <td>1.000000</td>\n",
" <td>3.000000</td>\n",
" <td>0.25000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>2.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" <td>2.000000</td>\n",
" <td>3.00000</td>\n",
" <td>2.000000</td>\n",
" <td>3.000000</td>\n",
" <td>2.00000</td>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Réponse Rédaction 1. Developper 2. Evaluer Comparaison \\\n",
"count 29.000000 29.000000 30.000000 30.000000 20.000000 \n",
"mean 1.896552 1.103448 1.166667 0.700000 1.250000 \n",
"std 1.113066 0.409253 0.912871 0.595963 0.966546 \n",
"min 0.000000 1.000000 0.000000 0.000000 0.000000 \n",
"25% 1.000000 1.000000 0.250000 0.000000 1.000000 \n",
"50% 2.000000 1.000000 1.000000 1.000000 1.000000 \n",
"75% 3.000000 1.000000 2.000000 1.000000 2.000000 \n",
"max 3.000000 3.000000 3.000000 2.000000 3.000000 \n",
"\n",
" Pythagore Thalès 1. Lecture 2. Max 3. Moyenne 4. Etendue \\\n",
"count 21.000000 19.000000 30.000000 29.000000 29.000000 30.000000 \n",
"mean 2.571429 1.736842 2.900000 2.862069 1.551724 1.633333 \n",
"std 0.676123 1.194529 0.547723 0.580895 1.241721 1.217214 \n",
"min 1.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"25% 2.000000 0.500000 3.000000 3.000000 0.000000 0.250000 \n",
"50% 3.000000 2.000000 3.000000 3.000000 1.000000 2.000000 \n",
"75% 3.000000 3.000000 3.000000 3.000000 3.000000 3.000000 \n",
"max 3.000000 3.000000 3.000000 3.000000 3.000000 3.000000 \n",
"\n",
" 5. Médiane 1. Opérations 2. Équation 3. Probabilité 1. Tableur \\\n",
"count 30.000000 28.000000 25.00000 23.000000 21.000000 \n",
"mean 1.566667 0.642857 0.52000 0.782609 1.714286 \n",
"std 0.897634 0.731021 0.87178 0.671262 1.309307 \n",
"min 0.000000 0.000000 0.00000 0.000000 0.000000 \n",
"25% 1.000000 0.000000 0.00000 0.000000 0.000000 \n",
"50% 2.000000 0.500000 0.00000 1.000000 2.000000 \n",
"75% 2.000000 1.000000 1.00000 1.000000 3.000000 \n",
"max 3.000000 2.000000 3.00000 2.000000 3.000000 \n",
"\n",
" 2. Tableur 3. PGCD 4. Fraction \n",
"count 16.00000 24.000000 25.000000 \n",
"mean 0.31250 1.791667 2.040000 \n",
"std 0.60208 1.284664 1.098484 \n",
"min 0.00000 0.000000 0.000000 \n",
"25% 0.00000 0.000000 1.000000 \n",
"50% 0.00000 2.000000 2.000000 \n",
"75% 0.25000 3.000000 3.000000 \n",
"max 2.00000 3.000000 3.000000 "
]
},
"execution_count": 105,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"notes_questions = notes[sous_exo]\n",
"notes_analysis = notes_questions.describe()\n",
"notes_analysis"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Réponse</th>\n",
" <th>Rédaction</th>\n",
" <th>1. Developper</th>\n",
" <th>2. Evaluer</th>\n",
" <th>Comparaison</th>\n",
" <th>Pythagore</th>\n",
" <th>Thalès</th>\n",
" <th>1. Lecture</th>\n",
" <th>2. Max</th>\n",
" <th>3. Moyenne</th>\n",
" <th>4. Etendue</th>\n",
" <th>5. Médiane</th>\n",
" <th>1. Opérations</th>\n",
" <th>2. Équation</th>\n",
" <th>3. Probabilité</th>\n",
" <th>1. Tableur</th>\n",
" <th>2. Tableur</th>\n",
" <th>3. PGCD</th>\n",
" <th>4. Fraction</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>29</td>\n",
" <td>29</td>\n",
" <td>30</td>\n",
" <td>30</td>\n",
" <td>20</td>\n",
" <td>21</td>\n",
" <td>19</td>\n",
" <td>30</td>\n",
" <td>29</td>\n",
" <td>29</td>\n",
" <td>30</td>\n",
" <td>30</td>\n",
" <td>28</td>\n",
" <td>25</td>\n",
" <td>23</td>\n",
" <td>21</td>\n",
" <td>16</td>\n",
" <td>24</td>\n",
" <td>25</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Réponse Rédaction 1. Developper 2. Evaluer Comparaison Pythagore \\\n",
"count 29 29 30 30 20 21 \n",
"\n",
" Thalès 1. Lecture 2. Max 3. Moyenne 4. Etendue 5. Médiane \\\n",
"count 19 30 29 29 30 30 \n",
"\n",
" 1. Opérations 2. Équation 3. Probabilité 1. Tableur 2. Tableur \\\n",
"count 28 25 23 21 16 \n",
"\n",
" 3. PGCD 4. Fraction \n",
"count 24 25 "
]
},
"execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# J'aimerai récupérer le nom des questions qui ont été le moins répondus\n",
"notes_analysis[:1]"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"## Bilan à remplir"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"bilan = texenv.get_template(\"tpl_bilan.tex\")\n",
"with open(\"./fill_bilan.tex\",\"w\") as f:\n",
" f.write(bilan.render(eleves = [(\"Nom\",, barem = barem, ds_name = ds_name, latex_info = latex_info, nbr_questions = len(barem.T)))"
]
}
],
"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": "3.5.1"
}
},
"nbformat": 4,
"nbformat_minor": 0
}