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8c2481a10dd33818b61b3592d19a3613
mooc-rr
Commits
cb1424a8
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Commit
cb1424a8
authored
May 03, 2020
by
8c2481a10dd33818b61b3592d19a3613
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feat : add example with matplotlib
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ce530ad7
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exercice.ipynb
module2/exo3/exercice.ipynb
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module2/exo3/exercice.ipynb
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cb1424a8
{
{
"cells": [],
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Plot et Histogramme \n",
"Import et déclaration des variables"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"from matplotlib import pyplot as plt \n",
"# tab contient les données à afficher;\n",
"tab=[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]\n",
"#Init abscisse du graph ici 0 à 99 qui correspond au nombre d'éléments présents dans notre tableau;\n",
"x=[];\n",
"for i in range(len(tab)):\n",
" x.append(i)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot avec matplotlib"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#dessiner un graph : \n",
"plt.title(\"Matplotlib demo\") \n",
"plt.xlabel(\"x axis caption\") \n",
"plt.ylabel(\"Tab axis caption\") \n",
"plt.plot(x,tab) \n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Histogramme avec matplotlib"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#np.histogram(tab,bins = 'auto') \n",
"#hist,bins = np.histogram(tab,bins = 'auto') \n",
"\n",
"plt.hist(tab, bins = 'auto') \n",
"plt.title(\"histogram\") \n",
"plt.show()"
]
}
],
"metadata": {
"metadata": {
"kernelspec": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3",
...
@@ -16,10 +109,9 @@
...
@@ -16,10 +109,9 @@
"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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