simgeekiz/turkiyemadalyasayıları.ipynb

## turkiyemadalyasayıları.ipynb
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  "signature": "sha256:d9884253af94bc879fb791fb1fcd576aebbef8ee28848a14a0162af13f4f0ec5"
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 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import matplotlib.pyplot as plt\n",
      "from pandas import DataFrame, read_csv, concat\n",
      "from numpy import random\n",
      "import numpy.numarray as na\n",
      "from pylab import *\n",
      "from __future__ import division\n",
      "%matplotlib inline\n",
      "# General syntax to import a library but no functions: \n",
      "##import (library) as (give the library a nickname/alias)\n",
      "import pandas as pd\n",
      "\n",
      "# Enable inline plotting\n",
      "%matplotlib inline\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dftur=read_csv('../dosya/olimpiyat/total_countries_TUR__medals.csv')\n",
      "#dfgre=read_csv('../../staj/greece/totalgre.csv')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = read_csv('../dosya/olimpiyat/countries_TUR__medals.csv')\n",
      "df=df[df['Games'].str.contains('Summer')]\n",
      "df['Games']=df['Games'].str.slice(0,4)\n",
      "tri = df[['Games','Men','Women']]\n",
      "tri=tri.sort_index(by='Games')\n",
      "yillartr = tri['Games']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dftur=dftur[['Bronze','Games','Gender','Gold','Silver','Sport']]\n",
      "#dfgre=dfgre[['Bronze','Games','Gender','Gold','Silver','Sport']]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df4 = dftur.groupby(['Games','Gender'], as_index=False).sum()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dfturmen = df4[df4['Gender']=='Male']\n",
      "dfturwomen = df4[df4['Gender'] == 'Female']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dfturwomen=dfturwomen.fillna(0)\n",
      "dfturmen=dfturmen.fillna(0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rcParams['figure.figsize'] = 15, 8"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x_axis = dfturmen['Games']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#womeng=dfturwomen['Gold','Games']\n",
      "dfturwomengold = dfturwomen[['Games','Gold']]\n",
      "dfturwomensilver = dfturwomen[['Games','Silver']]\n",
      "dfturwomenbronze = dfturwomen[['Games','Bronze']]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dfturwomengold = dfturwomengold.set_index('Games')\n",
      "dfturwomengold = dfturwomengold.reindex(x_axis)\n",
      "\n",
      "dfturwomensilver = dfturwomensilver.set_index('Games')\n",
      "dfturwomensilver = dfturwomensilver.reindex(x_axis)\n",
      "\n",
      "dfturwomenbronze = dfturwomenbronze.set_index('Games')\n",
      "dfturwomenbronze = dfturwomenbronze.reindex(x_axis)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dfturwomengold= dfturwomengold.fillna(0)\n",
      "dfturwomenbronze = dfturwomenbronze.fillna(0)\n",
      "dfturwomensilver = dfturwomensilver.fillna(0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x_axis= dfturmen['Games']\n",
      "width = 0.5\n",
      "\n",
      "xlocations = na.array(range(len(x_axis)))*(2*width)+0.5\n",
      "plt.xticks(xlocations+ width/2, list(x_axis))\n",
      "xlim(0, xlocations[-1]+ width*2)\n",
      "menGolds = dfturmen['Gold']\n",
      "menSilver = dfturmen['Silver']\n",
      "menBronze = dfturmen['Bronze']\n",
      "\n",
      "plt.figure(num=1, figsize=(15, 8))\n",
      "ax = plt.subplot(1,1,1)\n",
      "\n",
      "\n",
      "#fig, ax = plt.subplots()\n",
      "Gold1 = ax.bar(xlocations, menGolds, width/3, color='#D4AF37', label='Male Gold')\n",
      "Silver1 = ax.bar(xlocations+(width/3), menSilver, width/3, color='#A0A0A0', label='Male Silver')\n",
      "Bronze1 = ax.bar(xlocations+(2*width/3), menBronze, width/3, color='#5B391E', label='Male Bronze')\n",
      "         \n",
      "\n",
      "womenGolds = dfturwomengold['Gold']\n",
      "womenSilver = dfturwomensilver['Silver']\n",
      "womenBronze = dfturwomenbronze['Bronze']\n",
      "\n",
      "Gold2 = ax.bar(xlocations, womenGolds, width/3, color='#FFDF00',bottom=menGolds, label='Female Gold')\n",
      "Silver2 = ax.bar(xlocations+(width/3), womenSilver, width/3, color='#EEE6EE',bottom=menSilver, label='Female Silver')\n",
      "Bronze2 = ax.bar(xlocations+(2*width/3), womenBronze, width/3, color='#cd7f32',bottom=menBronze, label='Female Bronze')\n",
      "\n",
      "#ax.legend( (rects1[0], rects2[0]), ('Men', 'Women') )\n",
      "#plt.xticks(index+width, (list(tri['Games'])))    \n",
      "    \n",
      "    \n",
      "plt.legend(loc='upper right')\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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SU1OZO3cu+/fv79D1ZmRksGDBAh588EG2b9/OyJEj22xfWFjI6tWrOXHiBPn5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\nVlkAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7fbff0463150>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x_axis"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "1     1936\n",
        "3     1948\n",
        "4     1952\n",
        "5     1956\n",
        "7     1960\n",
        "8     1964\n",
        "9     1968\n",
        "11    1972\n",
        "13    1984\n",
        "15    1992\n",
        "17    1996\n",
        "19    2000\n",
        "21    2004\n",
        "23    2008\n",
        "25    2012\n",
        "Name: Games, dtype: int64"
       ]
      }
     ],
     "prompt_number": 14
    }
   ],
   "metadata": {}
  }
 ]
}