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86d2379a8cd828206f6e8576c862739f
mooc-rr
Commits
cc89e8fe
Commit
cc89e8fe
authored
Jun 24, 2020
by
86d2379a8cd828206f6e8576c862739f
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exercice.ipynb
module2/exo3/exercice.ipynb
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module2/exo3/exercice.ipynb
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cc89e8fe
{
"cells": [],
"cells": [
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"tab = 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])\n",
"tab2 = np.array(range(1,101))"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7fcba5daaa90>]"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"\n",
"plt.grid(True)\n",
"plt.axis([0,100,0,25])\n",
"plt.plot(tab2,tab)"
]
},
{
"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": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"\n",
"mi = 2.8\n",
"ma = 23.4\n",
"ecart = (ma-mi)/10\n",
"\n",
"plt.grid(True)\n",
"\n",
"plt.hist(tab,range=(mi,ma), bins=10, edgecolor='black')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
...
...
@@ -16,10 +108,9 @@
"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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