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Commit 162d2dfe authored by e5fb5ade37306aad9088664afc7b4dcf's avatar e5fb5ade37306aad9088664afc7b4dcf
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add exercice

parent 33290511
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module2/exo4/data.txt 0 → 100644
View file @ 162d2dfe
1.400000000000000000e+01
7.599999999999999645e+00
1.119999999999999929e+01
1.280000000000000071e+01
1.250000000000000000e+01
9.900000000000000355e+00
1.490000000000000036e+01
9.400000000000000355e+00
1.689999999999999858e+01
1.019999999999999929e+01
1.490000000000000036e+01
1.810000000000000142e+01
7.299999999999999822e+00
9.800000000000000711e+00
1.090000000000000036e+01
1.219999999999999929e+01
9.900000000000000355e+00
2.899999999999999911e+00
2.799999999999999822e+00
1.540000000000000036e+01
1.569999999999999929e+01
9.699999999999999289e+00
1.309999999999999964e+01
1.319999999999999929e+01
1.230000000000000071e+01
1.169999999999999929e+01
1.600000000000000000e+01
1.240000000000000036e+01
1.789999999999999858e+01
1.219999999999999929e+01
1.619999999999999929e+01
1.869999999999999929e+01
8.900000000000000355e+00
1.190000000000000036e+01
1.209999999999999964e+01
1.459999999999999964e+01
1.209999999999999964e+01
4.700000000000000178e+00
3.899999999999999911e+00
1.689999999999999858e+01
1.680000000000000071e+01
1.130000000000000071e+01
1.440000000000000036e+01
1.569999999999999929e+01
1.400000000000000000e+01
1.359999999999999964e+01
1.800000000000000000e+01
1.359999999999999964e+01
1.989999999999999858e+01
1.369999999999999929e+01
1.700000000000000000e+01
2.050000000000000000e+01
9.900000000000000355e+00
1.250000000000000000e+01
1.319999999999999929e+01
1.610000000000000142e+01
1.350000000000000000e+01
6.299999999999999822e+00
6.400000000000000355e+00
1.760000000000000142e+01
1.910000000000000142e+01
1.280000000000000071e+01
1.550000000000000000e+01
1.630000000000000071e+01
1.519999999999999929e+01
1.459999999999999964e+01
1.910000000000000142e+01
1.440000000000000036e+01
2.139999999999999858e+01
1.509999999999999964e+01
1.960000000000000142e+01
2.169999999999999929e+01
1.130000000000000071e+01
1.500000000000000000e+01
1.430000000000000071e+01
1.680000000000000071e+01
1.400000000000000000e+01
6.799999999999999822e+00
8.199999999999999289e+00
1.989999999999999858e+01
2.039999999999999858e+01
1.459999999999999964e+01
1.639999999999999858e+01
1.869999999999999929e+01
1.680000000000000071e+01
1.580000000000000071e+01
2.039999999999999858e+01
1.580000000000000071e+01
2.239999999999999858e+01
1.619999999999999929e+01
2.030000000000000071e+01
2.339999999999999858e+01
1.209999999999999964e+01
1.550000000000000000e+01
1.540000000000000036e+01
1.839999999999999858e+01
1.569999999999999929e+01
1.019999999999999929e+01
8.900000000000000355e+00
2.100000000000000000e+01
module2/exo4/exercice.ipynb
View file @ 162d2dfe
{ {
"cells": [], "cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# A report on new breakthrough data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Storing data on an external file"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"data = [\n",
" 14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4,\\\n",
" 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2,\\\n",
" 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2,\\\n",
" 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7,\\\n",
" 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9,\\\n",
" 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6,\\\n",
" 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1,\\\n",
" 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3,\\\n",
" 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7,\\\n",
" 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9,\\\n",
" 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8,\\\n",
" 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4,\\\n",
" 15.7, 10.2, 8.9, 21.0\n",
"]\n",
"\n",
"np.savetxt(\"data.txt\", data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Analyzing results"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: tabulate in /opt/conda/lib/python3.6/site-packages (0.8.7)\r\n"
]
}
],
"source": [
"! pip install tabulate"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<tbody>\n",
"<tr><td>Mean </td><td style=\"text-align: right;\">14.113 </td></tr>\n",
"<tr><td>Min </td><td style=\"text-align: right;\"> 2.8 </td></tr>\n",
"<tr><td>Max </td><td style=\"text-align: right;\">23.4 </td></tr>\n",
"<tr><td>Median</td><td style=\"text-align: right;\">14.5 </td></tr>\n",
"<tr><td>Std </td><td style=\"text-align: right;\"> 4.33409</td></tr>\n",
"</tbody>\n",
"</table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from IPython.display import HTML, display\n",
"import tabulate\n",
"from typing import List, Any\n",
"\n",
"def display_table(table: List[List[Any]]):\n",
" return display(HTML(tabulate.tabulate(table, tablefmt='html')))\n",
" \n",
" \n",
"display_table([\n",
" [\"Mean\", np.mean(data)],\n",
" [\"Min\", np.min(data)],\n",
" [\"Max\", np.max(data)],\n",
" [\"Median\", np.median(data)],\n",
" [\"Std\", np.std(data, ddof=1)]\n",
"])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Display results"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Figure size 640x480 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"fig, subs = plt.subplots(2)\n",
"subs[0].plot(data)\n",
"subs[0].grid(True, linestyle=\":\")\n",
"subs[1].hist(data)\n",
"subs[1].grid(True, linestyle=\":\")\n",
"plt.show()"
]
}
],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3",
...@@ -16,10 +160,9 @@ ...@@ -16,10 +160,9 @@
"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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