Exercises Module 2

parent 86c50d81
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# À propos du calcul de $\\pi$ "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## En demandant à la lib maths"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Mon ordinateur m'indique que $\\pi$ vaut _approximativement_"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.141592653589793\n"
]
}
],
"source": [
"from math import *\n",
"print(pi)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## En utilisant la méthode des aiguilles de Buffon"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Mais calculé avec la __méthode__ des [aiguilles de Buffon](https://fr.wikipedia.org/wiki/Aiguille_de_Buffon), on obtiendrait comme __approximation__:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.128911138923655"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"np.random.seed(seed=42)\n",
"N=10000\n",
"x=np.random.uniform(size=N, low=0, high=1)\n",
"theta = np.random.uniform(size=N, low=0, high=pi/2)\n",
"2/(sum((x+np.sin(theta))>1)/N)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Avec un argument ''fréquentiel'' de surface"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sinon, une méthode plus simple à comprendre et ne faisant pas intervenir d'appel à la fonction sinus se base sur le fait que si $X \\sim U(0,1)$ et $Y \\sim U(0,1)$ alors $P[X^2+Y^2\\leq 1]=\\pi/4$ (voir [méthode de Monte Carlo sur Wikipedia](https://fr.wikipedia.org/wiki/M%C3%A9thode_de_Monte-Carlo#D%C3%A9termination_de_la_valeur_de_%CF%80). Le code suivant illustre ce fait:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"np.random.seed(seed=42)\n",
"N = 1000\n",
"x = np.random.uniform(size=N, low=0, high=1)\n",
"y = np.random.uniform(size=N, low=0, high=1)\n",
"accept = (x*x+y*y) <= 1\n",
"reject = np.logical_not(accept)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"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": [
"fig, ax = plt.subplots(1)\n",
"ax.scatter(x[accept], y[accept], c='b', alpha=0.2, edgecolor=None)\n",
"ax.scatter(x[reject], y[reject], c='r', alpha=0.2, edgecolor=None)\n",
"ax.set_aspect('equal')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Il est alors aise d'obtenir une approximation (pas terrible) de $\\pi()$ en comptant combien de fois, en moyene, $X^2+y^2$ est inférieur à 1:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.112"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"4*np.mean(accept)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
{ {
"cells": [], "cells": [
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Moyenne : 14.113000000000001\n",
"Ecart-type : 4.334094455301447\n",
"Minimum : 2.8\n",
"Médiane : 14.5\n",
"Maximum : 23.4\n"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"# Données\n",
"donnees = np.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])\n",
"\n",
"# Calculs\n",
"moyenne = np.mean(donnees)\n",
"ecart_type = np.std(donnees,ddof=1)\n",
"minimum = np.min(donnees)\n",
"maximum = np.max(donnees)\n",
"mediane = np.median(donnees)\n",
"\n",
"# Affichage des résultats\n",
"print(f\"Moyenne : {moyenne}\")\n",
"print(f\"Ecart-type : {ecart_type}\")\n",
"print(f\"Minimum : {minimum}\")\n",
"print(f\"Médiane : {mediane}\")\n",
"print(f\"Maximum : {maximum}\")\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 864x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Données\n",
"donnees = np.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])\n",
"\n",
"# Plot as a line\n",
"plt.figure(figsize=(12, 4))\n",
"plt.subplot(1, 2, 1)\n",
"plt.plot(donnees, linestyle='-')\n",
"plt.title('Array Data Points as a Line')\n",
"plt.xlabel('Index')\n",
"plt.ylabel('Values')\n",
"\n",
"# Plot histogram\n",
"plt.subplot(1, 2, 2)\n",
"plt.hist(donnees, bins=10, color='skyblue', edgecolor='black')\n",
"plt.title('Histogram of Data')\n",
"plt.xlabel('Values')\n",
"plt.ylabel('Frequency')\n",
"\n",
"# Show plots\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3",
...@@ -16,10 +114,9 @@ ...@@ -16,10 +114,9 @@
"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
} }
{ {
"cells": [], "cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "Python 3", "display_name": "Python 3",
...@@ -16,10 +24,9 @@ ...@@ -16,10 +24,9 @@
"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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