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Commit 431fbddd authored by c84ad4823ff7a24ecd9aadc23649b02f's avatar c84ad4823ff7a24ecd9aadc23649b02f
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Update exercise

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module2/exo1/toy_notebook_fr.ipynb
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module2/exo2/exercice.ipynb
View file @ 431fbddd
{ {
"cells": [], "cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Create the array of data :"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[14. 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\n",
" 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. 12.4\n",
" 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\n",
" 14.4 15.7 14. 13.6 18. 13.6 19.9 13.7 17. 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 15.2 14.6 19.1 14.4 21.4 15.1\n",
" 19.6 21.7 11.3 15. 14.3 16.8 14. 6.8 8.2 19.9 20.4 14.6 16.4 18.7\n",
" 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\n",
" 8.9 21. ]\n"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"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)\n",
"data = np.array(data)\n",
"print(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compute the average of the data array :"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"14.113000000000001\n"
]
}
],
"source": [
"avg = np.average(data)\n",
"print(avg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compute the minimum value of data :"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.8\n"
]
}
],
"source": [
"minimum = min(data)\n",
"print(minimum)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compute the maximum value of data :"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"23.4\n"
]
}
],
"source": [
"maximum = max(data)\n",
"print(maximum)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compute the median :"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"hideCode": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"14.5\n"
]
}
],
"source": [
"median = np.median(data)\n",
"print(median)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compute the standard deviation of the data (i.e. *écart-type*)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4.334094455301447\n"
]
}
],
"source": [
"std = np.std(data, ddof=1)\n",
"print(std)"
]
}
],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3",
...@@ -16,10 +179,9 @@ ...@@ -16,10 +179,9 @@
"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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