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Commit 36ef400b authored by 4bb0f49ad7e02c93b7804cb2c6776886's avatar 4bb0f49ad7e02c93b7804cb2c6776886
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module2/exo2/exercice.ipynb
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{ {
"cells": [], "cells": [
{
"cell_type": "markdown",
"metadata": { "metadata": {
"hideCode": true,
"hidePrompt": true
},
"source": [
"# Statistics"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"hideCode": true,
"hidePrompt": true
},
"outputs": [],
"source": [
"import numpy as geek\n",
"my_set = geek.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])"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideCode": true,
"hidePrompt": true
},
"source": [
"Calculating its mean value"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"14.113000000000001\n"
]
}
],
"source": [
"Mean = geek.mean(my_set)\n",
"print(Mean)"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideCode": true,
"hidePrompt": true
},
"source": [
"Calculating the standard deviation"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"hideCode": true,
"hidePrompt": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4.334094455301447\n"
]
}
],
"source": [
"StandDev = geek.std(my_set,ddof=1)\n",
"print(StandDev)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Calculating the median"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"14.5\n"
]
}
],
"source": [
"Mediana = geek.median(my_set)\n",
"print(Mediana)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Calculating the minimum value"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"hideCode": true,
"hidePrompt": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.8\n"
]
}
],
"source": [
"Min = geek.amin(my_set)\n",
"print(Min)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Calculating the maximum value"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"23.4\n"
]
}
],
"source": [
"Maximo = geek.amax(my_set)\n",
"print(Maximo)"
]
}
],
"metadata": {
"hide_code_all_hidden": true,
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3",
"language": "python", "language": "python",
...@@ -16,10 +178,9 @@ ...@@ -16,10 +178,9 @@
"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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