2015-2016/5e_passerelle/Gestion_de_donnees/Création de graphiques.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from opytex import texenv\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "plt.style.use(\"seaborn-notebook\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pymath as pm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Création de graphiques pour les 5e passerelles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visite de villages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[48, 15, 36, 43, 25]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = pm.Dataset.random(5, distrib=\"randint\", rd_args=(10, 50))\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "villes = [\"Chiconi\", \"Sada\", \"Kaweni\", \"Dzaoudzi\", \"Bandrele\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ind = np.arange(5)\n",
    "width = 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "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':'16', 'color':'black', 'weight':'normal'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgQAAAFyCAYAAACKkcLXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkHSHpN9n42dI+ls27fb
      "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": "iVBORw0KGgoAAAANSUhEUgAAAfQAAAEtCAYAAAD+55JtAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nmZlZF3CHbmZm1gXcoZu
      "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": "iVBORw0KGgoAAAANSUhEUgAAAfgAAAEcCAYAAAAr/abrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nbOQEQ3vttY2QYe9kJ2l
      "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
}