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e7cf0b215c46376083e5dd05550455c2
mooc-rr
Commits
79cb91ec
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79cb91ec
authored
Feb 13, 2025
by
e7cf0b215c46376083e5dd05550455c2
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Exercice libre effectué sur les heures de travail par jour et updatées à la main
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exercice.ipynb
module2/exo4/exercice.ipynb
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module2/exo4/exercice.ipynb
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79cb91ec
{
{
"cells": [],
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Représentation du nombre d'heures de travail par jour"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data = [6.50, 5.00, 7.00, 6.00, 6.50, 5.50, 5.50, 6.00, 7.0, 6.50, 6.50, 7.00, 6.00, 7.00, 7.50, 7.00, 7.50, 5.50, 6.50, 6.50, 6.50, 8.00, 6.50, 6.00, 6.50, 7.00, 6.00, 8.50, 2.00, 8.00, 6.00, 5.00, 5.50, 5.50, 8.00, 7.00, 7.00, 3.00, 9.00, 6.50, 5.00, 7.50, 6.00, 7.00, 7.50, 7.50, 4.00, 4.00, 7.00, 4.50, 7.00, 5.00, 9.00, 6.50, 2.00, 8.50, 7.00, 8.00, 7.00, 8.00, 7.50, 7.50, 7.00, 7.00, 3.00, 4.50, 9.50, 8.00, 6.50, 7.00, 3.00, 6.50, 3.50, 8.50, 7.50, 3.50, 3.50, 8.00, 7.00, 7.50, 4.00, 8.00]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"moyenne : 6.365853658536586\n",
"écart-type : 1.6102464739023168\n",
"minimum : 2.0\n",
"médiane : 6.5\n",
"maximum : 9.5\n"
]
}
],
"source": [
"import numpy\n",
"\n",
"moy = (\"moyenne\", numpy.average(data))\n",
"std = (\"écart-type\", numpy.std(data, ddof=1))\n",
"mini = (\"minimum\", min(data))\n",
"med = (\"médiane\", numpy.median(data))\n",
"maxi = (\"maximum\", max(data))\n",
"\n",
"for x in [moy, std, mini, med, maxi] :\n",
" print(x[0], \":\", x[1])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"plt.grid(linestyle=\":\")\n",
"plt.plot(data, color=\"blue\")\n",
"plt.xlim(0, 85)\n",
"plt.ylim(min(data), max(data))\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"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": [
"import matplotlib.pyplot as plt\n",
"\n",
"plt.grid(linestyle=\":\")\n",
"plt.hist(data, color=\"blue\", edgecolor=\"black\")\n",
"plt.show()"
]
}
],
"metadata": {
"metadata": {
"kernelspec": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3",
...
@@ -16,7 +117,7 @@
...
@@ -16,7 +117,7 @@
"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,
...
...
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