Final

parent 452e7711
{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"## Projet Maman 2\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"donnees = pd.read_csv('inria_41016_session02_grade_report_2019-06-03-0808.csv')"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Type Num Id Label\n",
"0 Quiz 283 1 Module 1\n",
"1 Quiz 268 2 Module 1\n",
"2 Quiz 285 3 Module 1\n",
"3 Quiz 259 4 Module 1\n",
"4 Quiz 234 5 Module 1\n",
"5 Quiz 190 6 Module 2\n",
"6 Quiz 188 7 Module 2\n",
"7 Quiz 181 8 Module 2\n",
"8 Quiz 165 9 Module 2\n",
"9 Quiz 149 10 Module 2\n",
"10 Quiz 136 11 Module 2\n",
"11 Quiz 129 12 Module 3\n",
"12 Quiz 127 13 Module 3\n",
"13 Quiz 93 14 Module 4\n",
"14 Quiz 80 15 Module 4\n",
"15 Quiz 74 16 Module 4\n",
"16 QuizP 126 1 Jupiter\n",
"17 QuizP 95 2 R\n",
"18 QuizP 77 3 OrgMode\n",
"19 QuizP 77 4 Jupiter\n",
"20 QuizP 53 5 R\n",
"21 QuizP 43 6 OrgMode\n",
"22 QuizP 70 7 Jupiter\n",
"23 QuizP 45 8 R\n",
"24 QuizP 35 9 OrgMode\n",
"25 QuizP 69 10 Jupiter\n",
"26 QuizP 43 11 R\n",
"27 QuizP 36 12 OrgMode\n",
"28 Exercices 195 1 Module 1\n",
"29 Exercices 117 2 Module 2\n",
"30 Exercices 85 3 Module 3\n"
]
}
],
"source": [
"## Tableau\n",
"\n",
"Type_init= list(donnees.columns[3:19])+list(donnees.columns[20:32])+list(donnees.columns[34:37])\n",
"Type=[i.split()[0] for i in Type_init]\n",
"Id=[int(i.split()[1]) for i in Type_init]\n",
"Num=[(sum(donnees.loc[:,type]>0)) for type in Type_init]\n",
"Label=[\"Module 1\",\"Module 1\",\"Module 1\",\"Module 1\",\"Module 1\",\"Module 2\",\"Module 2\",\"Module 2\",\"Module 2\",\"Module 2\",\"Module 2\",\"Module 3\",\"Module 3\",\"Module 4\",\"Module 4\",\"Module 4\",\"Jupiter\",\"R\",\"OrgMode\",\"Jupiter\",\"R\",\"OrgMode\",\"Jupiter\",\"R\",\"OrgMode\",\"Jupiter\",\"R\",\"OrgMode\",\"Module 1\",\"Module 2\",\"Module 3\"]\n",
"tableau=pd.DataFrame({'Type':Type,\"Id\":Id,\"Num\":Num,\"Label\":Label})\n",
"col=[\"Type\",\"Num\",\"Id\",\"Label\"]\n",
"tableau = tableau.loc[:, col]\n",
"print(tableau)"
]
},
{
"cell_type": "code",
"execution_count": 215,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1800x504 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"### Graphs deuxième version\n",
"\n",
"def Graphique(*donnee_toutes):\n",
" fig1,(ax1,ax2,ax3)=plt.subplots(1,3,figsize=(25,7))\n",
" for donnee in donnee_toutes:\n",
" donnees = pd.read_csv(donnee)\n",
" Type_init= list(donnees.columns[3:19])+list(donnees.columns[20:32])+list(donnees.columns[34:37])\n",
" Type=[i.split()[0] for i in Type_init]\n",
" Id=[int(i.split()[1]) for i in Type_init]\n",
" Num=[(sum(donnees.loc[:,type]>0)) for type in Type_init]\n",
" Label=[\"Module 1\",\"Module 1\",\"Module 1\",\"Module 1\",\"Module 1\",\"Module 2\",\"Module 2\",\"Module 2\",\"Module 2\",\"Module 2\",\"Module 2\",\"Module 3\",\"Module 3\",\"Module 4\",\"Module 4\",\"Module 4\",\"Jupiter\",\"R\",\"OrgMode\",\"Jupiter\",\"R\",\"OrgMode\",\"Jupiter\",\"R\",\"OrgMode\",\"Jupiter\",\"R\",\"OrgMode\",\"Module 1\",\"Module 2\",\"Module 3\"]\n",
" tableau=pd.DataFrame({'Type':Type,\"Id\":Id,\"Num\":Num,\"Label\":Label})\n",
" col=[\"Type\",\"Num\",\"Id\",\"Label\"]\n",
" tableau = tableau.loc[:, col]\n",
"\n",
" ax1.plot(Id[-3:],tableau.loc[tableau.loc[:,\"Type\"]==\"Exercices\",\"Num\"],\"ro-\")\n",
" \n",
" ax2.plot(tableau.loc[(tableau.loc[:,\"Label\"]==\"Module 1\") & (tableau.loc[:,\"Type\"]==\"Quiz\"),\"Id\"],list(tableau.loc[(tableau.loc[:,\"Type\"]==\"Quiz\") & (tableau.loc[:,\"Label\"]==\"Module 1\"),\"Num\"]),\"ro-\")\n",
" ax2.plot(tableau.loc[(tableau.loc[:,\"Label\"]==\"Module 2\") & (tableau.loc[:,\"Type\"]==\"Quiz\"),\"Id\"],list(tableau.loc[(tableau.loc[:,\"Type\"]==\"Quiz\") & (tableau.loc[:,\"Label\"]==\"Module 2\"),\"Num\"]),\"bo-\")\n",
" ax2.plot(tableau.loc[(tableau.loc[:,\"Label\"]==\"Module 3\") & (tableau.loc[:,\"Type\"]==\"Quiz\"),\"Id\"],list(tableau.loc[(tableau.loc[:,\"Type\"]==\"Quiz\") & (tableau.loc[:,\"Label\"]==\"Module 3\"),\"Num\"]),\"go-\")\n",
" ax2.plot(tableau.loc[(tableau.loc[:,\"Label\"]==\"Module 4\") & (tableau.loc[:,\"Type\"]==\"Quiz\"),\"Id\"],list(tableau.loc[(tableau.loc[:,\"Type\"]==\"Quiz\") & (tableau.loc[:,\"Label\"]==\"Module 4\"),\"Num\"]),\"mo-\")\n",
" \n",
" ax3.plot(tableau.loc[(tableau.loc[:,\"Label\"]==\"Jupiter\") & (tableau.loc[:,\"Type\"]==\"QuizP\"),\"Id\"],list(tableau.loc[(tableau.loc[:,\"Type\"]==\"QuizP\") & (tableau.loc[:,\"Label\"]==\"Jupiter\"),\"Num\"]),\"ro-\")\n",
" ax3.plot(tableau.loc[(tableau.loc[:,\"Label\"]==\"R\") & (tableau.loc[:,\"Type\"]==\"QuizP\"),\"Id\"],list(tableau.loc[(tableau.loc[:,\"Type\"]==\"QuizP\") & (tableau.loc[:,\"Label\"]==\"R\"),\"Num\"]),\"bo-\")\n",
" ax3.plot(tableau.loc[(tableau.loc[:,\"Label\"]==\"OrgMode\") & (tableau.loc[:,\"Type\"]==\"QuizP\"),\"Id\"],list(tableau.loc[(tableau.loc[:,\"Type\"]==\"QuizP\") & (tableau.loc[:,\"Label\"]==\"OrgMode\"),\"Num\"]),\"go-\")\n",
"\n",
" ax3.legend([\"Jupiter\",\"R\",\"Orgmode\"])\n",
" ax2.legend([\"Module 1\",\"Module 2\",\"Module 3\",\"Module 4\"])\n",
" ax1.set_title(\"Exercices\")\n",
" ax2.set_title(\"Quiz\")\n",
" ax3.set_title(\"QuizP\")\n",
" fig1.text(0.5, 0.02, 'Id', ha='center',size=\"xx-large\")\n",
" fig1.text(0.09,0.5,\"Num\",ha='center',rotation='vertical',size=\"xx-large\")\n",
" fig1.text(0.13,0.05,\"Module 1\",color=\"red\")\n",
" fig1.text(0.23,0.05,\"Module 2\",color=\"blue\")\n",
" fig1.text(0.32,0.05,\"Module 3\",color=\"green\")\n",
" fig1.suptitle(\"Graphiques\",fontsize=40,y=1.05)\n",
" ax1.xaxis.set_ticks(range(1,4))\n",
" ax2.xaxis.set_ticks(range(17))\n",
" ax3.xaxis.set_ticks(range(13))\n",
" ax1.grid()\n",
" ax2.grid()\n",
" ax3.grid()\n",
" plt.show()\n",
" \n",
" \n",
"Graphique('inria_41016_self-paced_grade_report_2020-04-02-1234.csv','inria_41016_self-paced_grade_report_2020-03-27-0806.csv')"
]
}
],
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"nbformat_minor": 4
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