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26c634550904aba62520384fc8aa7dec
mooc-rr
Commits
a9ad75e6
Commit
a9ad75e6
authored
Apr 20, 2020
by
26c634550904aba62520384fc8aa7dec
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permière version avec uniquiement les calculs
parent
ce567cfd
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exercice.ipynb
module2/exo2/exercice.ipynb
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module2/exo2/exercice.ipynb
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a9ad75e6
{
{
"cells": [],
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Exercice 2 - Quelques statistiques\n",
"\n",
"## Etape préliminaire : importation des librairies"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"import matplotlib as mp\n",
"import matplotlib.pyplot as plt \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Première étape : récupération des données\n",
"\n",
"- Copier coller des donnnées du cours"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"donnee = np.array([14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0])"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[14. 7.6 11.2 12.8 12.5 9.9 14.9 9.4 16.9 10.2 14.9 18.1 7.3 9.8\n",
" 10.9 12.2 9.9 2.9 2.8 15.4 15.7 9.7 13.1 13.2 12.3 11.7 16. 12.4\n",
" 17.9 12.2 16.2 18.7 8.9 11.9 12.1 14.6 12.1 4.7 3.9 16.9 16.8 11.3\n",
" 14.4 15.7 14. 13.6 18. 13.6 19.9 13.7 17. 20.5 9.9 12.5 13.2 16.1\n",
" 13.5 6.3 6.4 17.6 19.1 12.8 15.5 16.3 15.2 14.6 19.1 14.4 21.4 15.1\n",
" 19.6 21.7 11.3 15. 14.3 16.8 14. 6.8 8.2 19.9 20.4 14.6 16.4 18.7\n",
" 16.8 15.8 20.4 15.8 22.4 16.2 20.3 23.4 12.1 15.5 15.4 18.4 15.7 10.2\n",
" 8.9 21. ]\n"
]
}
],
"source": [
"print(donnee)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Deuxième étape : calculs élémentaires\n",
"- Calcul de la moyenne\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"14.113000000000001"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"donnee.mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Calcul du min"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2.8"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"donnee.min()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Calcul du max"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"23.4"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"donnee.max()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Calcul de la médiane"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"14.5"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.median(donnee)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Calcul de l écart type statistique"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4.334094455301447"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"donnee.std(ddof=1)"
]
}
],
"metadata": {
"metadata": {
"kernelspec": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3",
...
@@ -16,10 +216,9 @@
...
@@ -16,10 +216,9 @@
"name": "python",
"name": "python",
"nbconvert_exporter": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"pygments_lexer": "ipython3",
"version": "3.6.
3
"
"version": "3.6.
4
"
}
}
},
},
"nbformat": 4,
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 2
}
}
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