407 lines
61 KiB
Plaintext
407 lines
61 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"from opytex import texenv\n",
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"%matplotlib inline\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"plt.style.use(\"seaborn-notebook\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"import pymath as pm"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Création de graphiques pour les 5e passerelles"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Visite de villages"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 89,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[48, 15, 36, 43, 25]"
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]
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},
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"execution_count": 89,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ds = pm.Dataset.random(5, distrib=\"randint\", rd_args=(10, 50))\n",
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"ds"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 90,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"villes = [\"Chiconi\", \"Sada\", \"Kaweni\", \"Dzaoudzi\", \"Bandrele\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 91,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"ind = np.arange(5)\n",
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"width = 0.5"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 92,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"# Set the font dictionaries (for plot title and axis titles)\n",
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"title_font = {'fontname':'Droid Sans Mono Slashed for Powerline', 'size':'20', 'color':'black', 'weight':'normal',\n",
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" 'verticalalignment':'bottom'} # Bottom vertical alignment for more space\n",
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"axis_font = {'fontname':'Droid Sans Mono Slashed for Powerline', 'size':'16', 'color':'black', 'weight':'normal'}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 93,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"image/png": 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FtJD0SuAY4OyhBCBpDUm3S/p9Nr6NpD9JmiPpV5KKupqimZmZ1ZEnITgamAf8HysvU3wZ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\nM5wQmJmZGfD/AfNlonDQ9u9xAAAAAElFTkSuQmCC\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7fca864db9b0>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig, ax = plt.subplots()\n",
|
|
"bar = ax.bar(ind, ds, width) \n",
|
|
"\n",
|
|
"ax.set_title('Visites des 5e', **title_font)\n",
|
|
"\n",
|
|
"ax.set_ylabel('Nombre de visiteurs', **axis_font)\n",
|
|
"ax.set_yticks(np.arange(0, 61, 5))\n",
|
|
"ax.set_xticks(ind + width/2)\n",
|
|
"ax.set_xticklabels(villes, **axis_font)\n",
|
|
"\n",
|
|
"ax.yaxis.grid(True)\n",
|
|
"\n",
|
|
"ax.spines['right'].set_visible(False)\n",
|
|
"ax.spines['top'].set_visible(False)\n",
|
|
"\n",
|
|
"ax.yaxis.set_ticks_position('left')\n",
|
|
"ax.xaxis.set_ticks_position('bottom')\n",
|
|
"\n",
|
|
"\n",
|
|
"fig.savefig(\"./graph1.pdf\")\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"source": [
|
|
"## Sortie en mer"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 94,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[6, 17, 15, 26, 12]"
|
|
]
|
|
},
|
|
"execution_count": 94,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"ds = pm.Dataset.random(5, distrib=\"randint\", rd_args=(5, 30))\n",
|
|
"ds"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 117,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"obs = [\"Boutielles\", \"Poisson \\n Clown\", \"Poisson \\n Soldat\", \"Corail \\n Branche\", \"Corail \\n Mou\"]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 109,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ind = np.arange(5)\n",
|
|
"width = 0.7"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 118,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Set the font dictionaries (for plot title and axis titles)\n",
|
|
"title_font = {'fontname':'Droid Sans Mono Slashed for Powerline', 'size':'20', 'color':'black', 'weight':'normal',\n",
|
|
" 'verticalalignment':'bottom'} # Bottom vertical alignment for more space\n",
|
|
"axis_font = {'fontname':'Droid Sans Mono Slashed for Powerline', 'size':'14', 'color':'black', 'weight':'normal'}"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 119,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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mZtYF3KGbmZl1gSqkT/1MHn6GpLslzZD0E0lrtzs2MzOzTlXGFnpf+tTXA28CPi1pa+Aq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\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7fca8681f518>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig, ax = plt.subplots(figsize = (8,4))\n",
|
|
"ax.bar(ind, ds, width, color=\"lightgray\")\n",
|
|
"\n",
|
|
"ax.set_title('Observations en mer', **title_font)\n",
|
|
"\n",
|
|
"ax.set_ylabel('Quantité', **axis_font)\n",
|
|
"ax.set_yticks(np.arange(0, 31, 2))\n",
|
|
"ax.set_xticks(ind + width/2)\n",
|
|
"ax.set_xlim(0, 4.8)\n",
|
|
"ax.set_xticklabels(obs, **axis_font)\n",
|
|
"\n",
|
|
"ax.yaxis.grid(True)\n",
|
|
"\n",
|
|
"ax.spines['right'].set_visible(False)\n",
|
|
"ax.spines['top'].set_visible(False)\n",
|
|
"\n",
|
|
"ax.yaxis.set_ticks_position('left')\n",
|
|
"ax.xaxis.set_ticks_position('bottom')\n",
|
|
"\n",
|
|
"\n",
|
|
"#fig.savefig(\"./fig/graph_poisson.pdf\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"source": [
|
|
"## Olympiades de math"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[4, 5, 18, 16, 30, 24, 19]"
|
|
]
|
|
},
|
|
"execution_count": 23,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"ds = pm.Dataset.random(7, distrib=\"randint\", rd_args=(2, 30))\n",
|
|
"ds"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"villes = [\"Sada\", \"Majicavo\", \"Kaweni1\", \"Chiconi\", \"Bandrélé\", \"Bouéni\", \"Pamandzi\"]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"ind = np.arange(7)\n",
|
|
"width = 0.7"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# Set the font dictionaries (for plot title and axis titles)\n",
|
|
"title_font = {'fontname':'Droid Sans Mono Slashed for Powerline', 'size':'20', 'color':'black', 'weight':'normal',\n",
|
|
" 'verticalalignment':'bottom'} # Bottom vertical alignment for more space\n",
|
|
"axis_font = {'fontname':'Droid Sans Mono Slashed for Powerline', 'size':'14', 'color':'black', 'weight':'normal'}"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 31,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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ngLubXGatcLEXAa+MiK2Au4AvNJmmmZmZFZTtRf8h4DzgQElzSJ3v1geeBt7V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\nSUVORK5CYII=\n",
|
|
"text/plain": [
|
|
"<matplotlib.figure.Figure at 0x7efcd85736a0>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig, ax = plt.subplots(figsize = (8,4))\n",
|
|
"ax.bar(ind, ds, width, color=\"lightgray\")\n",
|
|
"\n",
|
|
"ax.set_title('Olympiades de Mathématiques', **title_font)\n",
|
|
"\n",
|
|
"ax.set_ylabel('Nombre de médailles', **axis_font)\n",
|
|
"ax.set_yticks(np.arange(0, max(ds)+2, 2))\n",
|
|
"ax.set_xticks(ind + width/2)\n",
|
|
"ax.set_xlim(0, 6.8)\n",
|
|
"ax.set_xticklabels(villes, **axis_font)\n",
|
|
"\n",
|
|
"ax.yaxis.grid(True)\n",
|
|
"\n",
|
|
"ax.spines['right'].set_visible(False)\n",
|
|
"ax.spines['top'].set_visible(False)\n",
|
|
"\n",
|
|
"ax.yaxis.set_ticks_position('left')\n",
|
|
"ax.xaxis.set_ticks_position('bottom')\n",
|
|
"\n",
|
|
"fig.savefig(\"./fig/graph_medailles.pdf\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"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": "3.5.1"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|