Commit 672bdd49 authored by pmatrangolo's avatar pmatrangolo

doing exercice 3

parent 836d8f54
{
"cells": [],
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Récupération des valeurs"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[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"
]
}
],
"source": [
"val_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",
"print(val_tab)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Sequence plot + histogramme"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
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",
"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.plot(val_tab, 'b')\n",
"plt.grid('both')"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.hist(val_tab, color='b', edgecolor = \"black\")\n",
"plt.grid('both')"
]
}
],
"metadata": {
"interpreter": {
"hash": "68a78512f08647dba0d657fd7997aaa8ad8c9d9af1a9b906b8cea64366ea2030"
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3.9.13 64-bit (windows store)",
"language": "python",
"name": "python3"
},
......@@ -16,10 +101,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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