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mooc-rr
Commit 99b77860 authored by 61cbc2a4c93a3237a08f8b8e6c523229's avatar 61cbc2a4c93a3237a08f8b8e6c523229
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Version 2

parent 32b3ed05
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Inline Side-by-side
Showing with 10 additions and 8 deletions
Projet Maman 3/Untitled.ipynb
View file @ 99b77860
...@@ -2,7 +2,7 @@ ...@@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 23, "execution_count": 3,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -43,12 +43,12 @@ ...@@ -43,12 +43,12 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 67, "execution_count": 10,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": 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\n", 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\n",
"text/plain": [ "text/plain": [
"<Figure size 432x288 with 1 Axes>" "<Figure size 432x288 with 1 Axes>"
] ]
...@@ -73,18 +73,19 @@ ...@@ -73,18 +73,19 @@
" dico_satisfactions[(satisfaction.split(\" \"))[2].strip(\"[\").strip(\"]\")]=np.mean(donnees.loc[:,satisfaction])\n", " dico_satisfactions[(satisfaction.split(\" \"))[2].strip(\"[\").strip(\"]\")]=np.mean(donnees.loc[:,satisfaction])\n",
" \n", " \n",
"\n", "\n",
"pd.Series(dico_satisfactions).plot(kind=\"barh\",grid=True,xticks=np.arange(0,round(max(dico_satisfactions.values()),1),1))\n", "pd.Series(dico_satisfactions).plot(kind=\"barh\",xticks=np.arange(0,round(max(dico_satisfactions.values()),1),1))\n",
"plt.grid(axis=\"x\")\n",
"plt.show()" "plt.show()"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 72, "execution_count": 9,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"image/png": 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\n", 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\n",
"text/plain": [ "text/plain": [
"<Figure size 432x288 with 1 Axes>" "<Figure size 432x288 with 1 Axes>"
] ]
...@@ -96,7 +97,7 @@ ...@@ -96,7 +97,7 @@
} }
], ],
"source": [ "source": [
"Vidéo_de_cours=\"Dans quelle mesure avez-vous apprécié les éléments suivants du cours ? (1= pas satisfait ; 4= très satisfait) [Vidéos de cours]\"\n", "### Vidéo_de_cours=\"Dans quelle mesure avez-vous apprécié les éléments suivants du cours ? (1= pas satisfait ; 4= très satisfait) [Vidéos de cours]\"\n",
"Interview=\"Dans quelle mesure avez-vous apprécié les éléments suivants du cours ? (1= pas satisfait ; 4= très satisfait) [Interviews]\"\n", "Interview=\"Dans quelle mesure avez-vous apprécié les éléments suivants du cours ? (1= pas satisfait ; 4= très satisfait) [Interviews]\"\n",
"Quiz=\"Dans quelle mesure avez-vous apprécié les éléments suivants du cours ? (1= pas satisfait ; 4= très satisfait) [Quiz]\"\n", "Quiz=\"Dans quelle mesure avez-vous apprécié les éléments suivants du cours ? (1= pas satisfait ; 4= très satisfait) [Quiz]\"\n",
"Exercices_pratiques_evalues=\"Dans quelle mesure avez-vous apprécié les éléments suivants du cours ? (1= pas satisfait ; 4= très satisfait) [Exercices pratiques évalués (Module 1, 2 et 3)]\"\n", "Exercices_pratiques_evalues=\"Dans quelle mesure avez-vous apprécié les éléments suivants du cours ? (1= pas satisfait ; 4= très satisfait) [Exercices pratiques évalués (Module 1, 2 et 3)]\"\n",
...@@ -116,7 +117,8 @@ ...@@ -116,7 +117,8 @@
"for satisfaction in liste_satisfactions:\n", "for satisfaction in liste_satisfactions:\n",
" dico_satisfactions_OrgMode[(satisfaction.split(\" \"))[2].strip(\"[\").strip(\"]\")]=np.mean(donnees.loc[donnees.loc[:,\"Quel(s) parcour(s) avez-vous suivi ? [Org-mode]\"]==\"Oui\",satisfaction])\n", " dico_satisfactions_OrgMode[(satisfaction.split(\" \"))[2].strip(\"[\").strip(\"]\")]=np.mean(donnees.loc[donnees.loc[:,\"Quel(s) parcour(s) avez-vous suivi ? [Org-mode]\"]==\"Oui\",satisfaction])\n",
"\n", "\n",
"pd.DataFrame({\"Orgmode\":dico_satisfactions_OrgMode,\"Jupyter\":dico_satisfactions_Jupyter,\"RStudio\":dico_satisfactions_Rstudio}).plot(kind=\"barh\")\n", "pd.DataFrame({\"Orgmode\":dico_satisfactions_OrgMode,\"Jupyter\":dico_satisfactions_Jupyter,\"RStudio\":dico_satisfactions_Rstudio}).plot(kind=\"barh\",xticks=np.arange(0,round(max(dico_satisfactions.values()),1),1))\n",
"plt.grid(axis=\"x\")\n",
"plt.show()" "plt.show()"
] ]
} }
......
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