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d5c2987906346bb300a7104f766f8c8a
mooc-rr
Commits
20a1ce07
Commit
20a1ce07
authored
May 28, 2021
by
d5c2987906346bb300a7104f766f8c8a
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module2_exo3_AntoineMaisons
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exercice.ipynb
module2/exo3/exercice.ipynb
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module2/exo3/exercice.ipynb
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20a1ce07
{
"cells": [],
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"Data = [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": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(array([ 4., 3., 5., 9., 16., 20., 22., 9., 8., 4.]),\n",
" array([ 2.8 , 4.86, 6.92, 8.98, 11.04, 13.1 , 15.16, 17.22, 19.28,\n",
" 21.34, 23.4 ]),\n",
" <a list of 10 Patch objects>)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.subplot(211)\n",
"plt.plot(Data)\n",
"\n",
"plt.subplot(212)\n",
"plt.hist(Data)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
...
...
@@ -16,10 +81,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.
3
"
"version": "3.6.
4
"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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