Nouvelle façon de passer de la base de donnée vers xlsx

This commit is contained in:
Bertrand Benjamin 2018-04-21 18:30:09 +03:00
parent dd4ff53182
commit 48380ca715

View File

@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": 2,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -13,20 +13,19 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 7, "execution_count": 39,
"metadata": { "metadata": {},
"collapsed": true
},
"outputs": [], "outputs": [],
"source": [ "source": [
"from repytex.tools.evaluation import Evaluation\n", "from repytex.worksheets.worksheet import pull_datas\n",
"from repytex.tools.sqlite_getters import all_ev_description\n", "import pandas as pd\n",
"import numpy as np\n",
"import sqlite3" "import sqlite3"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": 4,
"metadata": { "metadata": {
"collapsed": true "collapsed": true
}, },
@ -37,7 +36,177 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'evaluation': id name term t_id\n",
" 0 1 DS1 mise en jambe 1 1,\n",
" 'exercises': id name eval_id date comment\n",
" 0 1 1 - Prendre la température 1 2017-09-05 00:00:00.000000 \n",
" 1 2 2 - Maladroite! 1 2017-09-05 00:00:00.000000 ,\n",
" 'question_scores': id question_id student_id value\n",
" 0 1 1 1 1\n",
" 1 2 2 1 2\n",
" 2 3 3 1 .\n",
" 3 4 1 2 2\n",
" 4 5 2 2 2\n",
" 5 6 3 2 1\n",
" 6 7 1 3 3\n",
" 7 8 2 3 0\n",
" 8 9 3 3 0\n",
" 9 10 1 4 3\n",
" 10 11 2 4 3\n",
" 11 12 3 4 0\n",
" 12 13 1 5 1\n",
" 13 14 2 5 2\n",
" 14 15 3 5 .\n",
" 15 16 1 6 3\n",
" 16 17 2 6 2\n",
" 17 18 3 6 0\n",
" 18 19 1 7 2\n",
" 19 20 2 7 2\n",
" 20 21 3 7 2\n",
" 21 22 1 9 2\n",
" 22 23 2 9 1\n",
" 23 24 3 9 2\n",
" 24 25 1 8 3\n",
" 25 26 2 8 1\n",
" 26 27 3 8 .\n",
" 27 28 1 10 1\n",
" 28 29 2 10 2\n",
" 29 30 3 10 0\n",
" .. ... ... ... ...\n",
" 178 803 4 21 .\n",
" 179 804 5 21 .\n",
" 180 805 6 21 .\n",
" 181 806 7 21 .\n",
" 182 807 8 21 .\n",
" 183 808 4 22 0\n",
" 184 809 5 22 .\n",
" 185 810 6 22 .\n",
" 186 811 7 22 .\n",
" 187 812 8 22 .\n",
" 188 813 4 23 3\n",
" 189 814 5 23 1\n",
" 190 815 6 23 1\n",
" 191 816 7 23 1\n",
" 192 817 8 23 1\n",
" 193 818 4 25 .\n",
" 194 819 5 25 .\n",
" 195 820 6 25 .\n",
" 196 821 7 25 .\n",
" 197 822 8 25 1\n",
" 198 823 4 24 3\n",
" 199 824 5 24 3\n",
" 200 825 6 24 3\n",
" 201 826 7 24 2\n",
" 202 827 8 24 2\n",
" 203 828 4 26 3\n",
" 204 829 5 26 3\n",
" 205 830 6 26 3\n",
" 206 831 7 26 3\n",
" 207 832 8 26 3\n",
" \n",
" [200 rows x 4 columns],\n",
" 'questions': id name score_rate is_leveled exercise_id competence domain \\\n",
" 0 1 1 0 1 1 Cher Grandeurs \n",
" 1 2 2 0 1 1 Cal Grandeurs \n",
" 2 3 2.c 0 1 1 Cal Grandeurs \n",
" 0 4 0 1 2 Cher 4opérations \n",
" 1 5 0 1 2 Cher 4opérations \n",
" 2 6 0 1 2 Rai 4opérations \n",
" 3 7 0 1 2 Cal 4opérations \n",
" 4 8 0 1 2 Com 4opérations \n",
" \n",
" comment \n",
" 0 Lecture du thermomètre \n",
" 1 Suivre programme de calculs \n",
" 2 Renverser un programme de calculs \n",
" 0 Lire le tableau et le graphique \n",
" 1 Décomposer le problème \n",
" 2 Manipuler les grandeurs \n",
" 3 Mener à bien les calculs \n",
" 4 Rédaction ,\n",
" 'students': id name surname mail commment tribe_id\n",
" 0 1 ABDALLAH ALLAOUI Taiassima None 1\n",
" 1 2 ADANI Ismou None 1\n",
" 2 3 AHAMADA Dhoulkamal None 1\n",
" 3 4 AHAMADI Asbahati None 1\n",
" 4 5 AHAMADI OUSSENI Ansufiddine None 1\n",
" 5 6 AHAMED Fayadhi None 1\n",
" 6 7 AHMED SAID Hadaïta None 1\n",
" 7 8 ALI MADI Anissa None 1\n",
" 8 9 ALI Raydel None 1\n",
" 9 10 ATTOUMANE ALI Fatima None 1\n",
" 10 11 BACHIROU Elzame None 1\n",
" 11 12 BINALI Zalida None 1\n",
" 12 13 BOINA Abdillah Mze Limassi None 1\n",
" 13 14 BOUDRA Zaankidine None 1\n",
" 14 15 BOURA Kayssoiria None 1\n",
" 15 16 HALADI Asna None 1\n",
" 16 17 HALIDI Soibrata None 1\n",
" 17 18 HAMEDALY Doulkifly None 1\n",
" 18 19 IBRAHIM Nassur None 1\n",
" 19 20 INOUSSA Anchoura None 1\n",
" 20 21 MOHAMED Nadia None 1\n",
" 21 22 MOUHOUDHOIRE Izak None 1\n",
" 22 23 MOUSSRI Bakari None 1\n",
" 23 24 SAÏD Fatoumia None 1\n",
" 24 25 SAKOTRA Claudiana None 1\n",
" 25 26 TOUFAIL Salahou None 1\n",
" 26 76 Ibrahim Chaharzade None 1,\n",
" 'tribe': id name grade\n",
" 0 1 302 3e}"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"datas = pull_datas(1, conn)\n",
"datas"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'DS1 mise en jambe'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"datas['evaluation'][\"name\"][0]"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"q_df = datas[\"questions\"]\n",
"q_df = q_df.assign(\n",
" Nom = q_df[[\"name\", \"comment\"]].apply(lambda x: \" \".join(x), 1)\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -63,220 +232,108 @@
" <th></th>\n", " <th></th>\n",
" <th>id</th>\n", " <th>id</th>\n",
" <th>name</th>\n", " <th>name</th>\n",
" <th>term</th>\n", " <th>score_rate</th>\n",
" <th>t_id</th>\n", " <th>is_leveled</th>\n",
" <th>exercise_id</th>\n",
" <th>competence</th>\n",
" <th>domain</th>\n",
" <th>comment</th>\n",
" <th>Nom</th>\n",
" </tr>\n", " </tr>\n",
" </thead>\n", " </thead>\n",
" <tbody>\n", " <tbody>\n",
" <tr>\n", " <tr>\n",
" <th>0</th>\n", " <th>0</th>\n",
" <td>1</td>\n", " <td>1</td>\n",
" <td>DS1 mise en jambe</td>\n", " <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n", " <td>1</td>\n",
" <td>1</td>\n", " <td>1</td>\n",
" <td>Cher</td>\n",
" <td>Grandeurs</td>\n",
" <td>Lecture du thermomètre</td>\n",
" <td>1 Lecture du thermomètre</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>1</th>\n", " <th>1</th>\n",
" <td>2</td>\n", " <td>2</td>\n",
" <td>DS1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n", " <td>2</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Cal</td>\n",
" <td>Grandeurs</td>\n",
" <td>Suivre programme de calculs</td>\n",
" <td>2 Suivre programme de calculs</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>2</th>\n", " <th>2</th>\n",
" <td>3</td>\n", " <td>3</td>\n",
" <td>DS1</td>\n", " <td>2.c</td>\n",
" <td>0</td>\n",
" <td>1</td>\n", " <td>1</td>\n",
" <td>3</td>\n", " <td>1</td>\n",
" <td>Cal</td>\n",
" <td>Grandeurs</td>\n",
" <td>Renverser un programme de calculs</td>\n",
" <td>2.c Renverser un programme de calculs</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>3</th>\n", " <th>0</th>\n",
" <td>4</td>\n", " <td>4</td>\n",
" <td>DS2</td>\n", " <td></td>\n",
" <td>0</td>\n",
" <td>1</td>\n", " <td>1</td>\n",
" <td>2</td>\n", " <td>2</td>\n",
" <td>Cher</td>\n",
" <td>4opérations</td>\n",
" <td>Lire le tableau et le graphique</td>\n",
" <td>Lire le tableau et le graphique</td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>4</th>\n", " <th>1</th>\n",
" <td>5</td>\n", " <td>5</td>\n",
" <td>DS2</td>\n", " <td></td>\n",
" <td>1</td>\n", " <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6</td>\n",
" <td>DS2</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7</td>\n",
" <td>DS3</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>8</td>\n",
" <td>Pyramide de pièces</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>9</td>\n",
" <td>DS3</td>\n",
" <td>1</td>\n", " <td>1</td>\n",
" <td>2</td>\n", " <td>2</td>\n",
" </tr>\n", " <td>Cher</td>\n",
" <tr>\n", " <td>4opérations</td>\n",
" <th>9</th>\n", " <td>Décomposer le problème</td>\n",
" <td>10</td>\n", " <td>Décomposer le problème</td>\n",
" <td>DS3</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>11</td>\n",
" <td>DS4</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>13</td>\n",
" <td>DS5</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>14</td>\n",
" <td>DM noel</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>15</td>\n",
" <td>DM noel</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>16</td>\n",
" <td>DS4</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>17</td>\n",
" <td>DS4</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>18</td>\n",
" <td>DS6</td>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>19</td>\n",
" <td>CM1</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>20</td>\n",
" <td>DNB blanc1</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>21</td>\n",
" <td>DNB blanc1</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
"</table>\n", "</table>\n",
"</div>" "</div>"
], ],
"text/plain": [ "text/plain": [
" id name term t_id\n", " id name score_rate is_leveled exercise_id competence domain \\\n",
"0 1 DS1 mise en jambe 1 1\n", "0 1 1 0 1 1 Cher Grandeurs \n",
"1 2 DS1 1 2\n", "1 2 2 0 1 1 Cal Grandeurs \n",
"2 3 DS1 1 3\n", "2 3 2.c 0 1 1 Cal Grandeurs \n",
"3 4 DS2 1 2\n", "0 4 0 1 2 Cher 4opérations \n",
"4 5 DS2 1 1\n", "1 5 0 1 2 Cher 4opérations \n",
"5 6 DS2 1 3\n", "\n",
"6 7 DS3 1 3\n", " comment Nom \n",
"7 8 Pyramide de pièces 1 1\n", "0 Lecture du thermomètre 1 Lecture du thermomètre \n",
"8 9 DS3 1 2\n", "1 Suivre programme de calculs 2 Suivre programme de calculs \n",
"9 10 DS3 1 1\n", "2 Renverser un programme de calculs 2.c Renverser un programme de calculs \n",
"10 11 DS4 2 3\n", "0 Lire le tableau et le graphique Lire le tableau et le graphique \n",
"11 13 DS5 2 3\n", "1 Décomposer le problème Décomposer le problème "
"12 14 DM noel 2 1\n",
"13 15 DM noel 2 2\n",
"14 16 DS4 2 1\n",
"15 17 DS4 2 2\n",
"16 18 DS6 2 3\n",
"17 19 CM1 2 2\n",
"18 20 DNB blanc1 2 2\n",
"19 21 DNB blanc1 2 1"
] ]
}, },
"execution_count": 9, "execution_count": 65,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"all_ev_description(conn)" "q_df.head()"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 10, "execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
"ev = Evaluation.from_sqlite(21, conn)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'DNB blanc1'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ev.name"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -310,58 +367,18 @@
" <tbody>\n", " <tbody>\n",
" <tr>\n", " <tr>\n",
" <th>0</th>\n", " <th>0</th>\n",
" <td>64</td>\n", " <td>1</td>\n",
" <td>1 - QCM</td>\n", " <td>1 - Prendre la température</td>\n",
" <td>21</td>\n", " <td>1</td>\n",
" <td>2018-02-07 00:00:00.000000</td>\n", " <td>2017-09-05 00:00:00.000000</td>\n",
" <td></td>\n", " <td></td>\n",
" </tr>\n", " </tr>\n",
" <tr>\n", " <tr>\n",
" <th>1</th>\n", " <th>1</th>\n",
" <td>65</td>\n", " <td>2</td>\n",
" <td>2 - Boite de chocolat</td>\n", " <td>2 - Maladroite!</td>\n",
" <td>21</td>\n", " <td>1</td>\n",
" <td>2018-02-07 00:00:00.000000</td>\n", " <td>2017-09-05 00:00:00.000000</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>66</td>\n",
" <td>3 - Scratch</td>\n",
" <td>21</td>\n",
" <td>2018-02-07 00:00:00.000000</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>67</td>\n",
" <td>4 - Programme de calcul</td>\n",
" <td>21</td>\n",
" <td>2018-02-07 00:00:00.000000</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>68</td>\n",
" <td>5 - Macaron</td>\n",
" <td>21</td>\n",
" <td>2018-02-07 00:00:00.000000</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>69</td>\n",
" <td>6 - Inspecteur</td>\n",
" <td>21</td>\n",
" <td>2018-02-07 00:00:00.000000</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>70</td>\n",
" <td>7 - La tache</td>\n",
" <td>21</td>\n",
" <td>2018-02-07 00:00:00.000000</td>\n",
" <td></td>\n", " <td></td>\n",
" </tr>\n", " </tr>\n",
" </tbody>\n", " </tbody>\n",
@ -369,23 +386,347 @@
"</div>" "</div>"
], ],
"text/plain": [ "text/plain": [
" id name eval_id date comment\n", " id name eval_id date comment\n",
"0 64 1 - QCM 21 2018-02-07 00:00:00.000000 \n", "0 1 1 - Prendre la température 1 2017-09-05 00:00:00.000000 \n",
"1 65 2 - Boite de chocolat 21 2018-02-07 00:00:00.000000 \n", "1 2 2 - Maladroite! 1 2017-09-05 00:00:00.000000 "
"2 66 3 - Scratch 21 2018-02-07 00:00:00.000000 \n",
"3 67 4 - Programme de calcul 21 2018-02-07 00:00:00.000000 \n",
"4 68 5 - Macaron 21 2018-02-07 00:00:00.000000 \n",
"5 69 6 - Inspecteur 21 2018-02-07 00:00:00.000000 \n",
"6 70 7 - La tache 21 2018-02-07 00:00:00.000000 "
] ]
}, },
"execution_count": 12, "execution_count": 66,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
], ],
"source": [ "source": [
"ev.ex_df" "datas[\"exercises\"]"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>score_rate</th>\n",
" <th>competence</th>\n",
" <th>id</th>\n",
" <th>name</th>\n",
" <th>eval_id</th>\n",
" <th>date</th>\n",
" <th>comment</th>\n",
" <th>Nom</th>\n",
" <th>exercise_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>Cher-Cal-Cal</td>\n",
" <td>1</td>\n",
" <td>1 - Prendre la température</td>\n",
" <td>1</td>\n",
" <td>2017-09-05 00:00:00.000000</td>\n",
" <td></td>\n",
" <td>Ex 1 - Prendre la température</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>Cher-Cher-Rai-Cal-Com</td>\n",
" <td>2</td>\n",
" <td>2 - Maladroite!</td>\n",
" <td>1</td>\n",
" <td>2017-09-05 00:00:00.000000</td>\n",
" <td></td>\n",
" <td>Ex 2 - Maladroite!</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" score_rate competence id name eval_id \\\n",
"0 0 Cher-Cal-Cal 1 1 - Prendre la température 1 \n",
"1 0 Cher-Cher-Rai-Cal-Com 2 2 - Maladroite! 1 \n",
"\n",
" date comment Nom \\\n",
"0 2017-09-05 00:00:00.000000 Ex 1 - Prendre la température \n",
"1 2017-09-05 00:00:00.000000 Ex 2 - Maladroite! \n",
"\n",
" exercise_id \n",
"0 1 \n",
"1 2 "
]
},
"execution_count": 70,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ex_q = q_df.groupby(\"exercise_id\")\\\n",
" .agg({\"score_rate\": np.sum, \"competence\": lambda x: '-'.join(list(x))}) \\\n",
" .merge(datas[\"exercises\"], left_index=True, right_on='id')\n",
"ex_q = ex_q.assign(\n",
" Nom = ex_q[\"name\"].apply(lambda x: f\"Ex {x}\"),\n",
" exercise_id = ex_q[\"id\"]\n",
")\n",
"ex_q"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Nom</th>\n",
" <th>competence</th>\n",
" <th>score_rate</th>\n",
" <th>exercise_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Ex 1 - Prendre la température</td>\n",
" <td>Cher-Cal-Cal</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1 Lecture du thermomètre</td>\n",
" <td>Cher</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2 Suivre programme de calculs</td>\n",
" <td>Cal</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2.c Renverser un programme de calculs</td>\n",
" <td>Cal</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Ex 2 - Maladroite!</td>\n",
" <td>Cher-Cher-Rai-Cal-Com</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Lire le tableau et le graphique</td>\n",
" <td>Cher</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Décomposer le problème</td>\n",
" <td>Cher</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Manipuler les grandeurs</td>\n",
" <td>Rai</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Mener à bien les calculs</td>\n",
" <td>Cal</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Rédaction</td>\n",
" <td>Com</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Nom competence score_rate \\\n",
"0 Ex 1 - Prendre la température Cher-Cal-Cal 0 \n",
"0 1 Lecture du thermomètre Cher 0 \n",
"1 2 Suivre programme de calculs Cal 0 \n",
"2 2.c Renverser un programme de calculs Cal 0 \n",
"1 Ex 2 - Maladroite! Cher-Cher-Rai-Cal-Com 0 \n",
"0 Lire le tableau et le graphique Cher 0 \n",
"1 Décomposer le problème Cher 0 \n",
"2 Manipuler les grandeurs Rai 0 \n",
"3 Mener à bien les calculs Cal 0 \n",
"4 Rédaction Com 0 \n",
"\n",
" exercise_id \n",
"0 1 \n",
"0 1 \n",
"1 1 \n",
"2 1 \n",
"1 2 \n",
"0 2 \n",
"1 2 \n",
"2 2 \n",
"3 2 \n",
"4 2 "
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sel_fields = ['Nom', 'competence', 'score_rate', 'exercise_id']\n",
"xls_df = pd.concat([ex_q[sel_fields], q_df[sel_fields]]).sort_values(\"exercise_id\")\n",
"xls_df"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [],
"source": [
"writer = pd.ExcelWriter(\"./test.xlsx\", engine=\"xlsxwriter\")\n",
"xls_df.to_excel(writer, index=False, sheet_name='DNB blanc 2')"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"workbook = writer.book\n",
"worksheet = writer.sheets['DNB blanc 2']"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"first_line_format = workbook.add_format({\"align\": 'center', \"rotation\":90})\n",
"\n",
"worksheet.set_column('A:D', 20)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"writer.save()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Fait au DNB blanc 1"
] ]
}, },
{ {