Men's Professional Basketball.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "\n",
    "import calendar\n",
    "import csv\n",
    "import collections\n",
    "import matplotlib.pyplot as plt\n",
    "import pprint as pp\n",
    "import numpy as np\n",
    "import scipy as sp\n",
    "import scipy.stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For more info please visit\n",
    "# https://www.kaggle.com/open-source-sports/mens-professional-basketball/version/2#basketball_master.csv\n",
    "dataset_file = 'data/mens_profeccional_basketball/basketball_master.csv'\n",
    "month_names = [calendar.month_name[i + 1] for i in xrange(12)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(dataset_file) as fin:\n",
    "    reader = csv.DictReader(fin)\n",
    "    players = [player for player in reader]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'bioID': 'abdulka01',\n",
      " 'birthCity': 'New York',\n",
      " 'birthCountry': 'USA',\n",
      " 'birthDate': '1947-04-16',\n",
      " 'birthState': 'NY',\n",
      " 'college': 'UCLA',\n",
      " 'collegeOther': '',\n",
      " 'deathDate': '0000-00-00',\n",
      " 'firstName': 'Kareem',\n",
      " 'firstseason': '0',\n",
      " 'fullGivenName': 'Ferdinand Lewis Alcindor, Jr.',\n",
      " 'height': '85.00',\n",
      " 'highSchool': 'Power Memorial',\n",
      " 'hsCity': 'New York',\n",
      " 'hsCountry': 'USA',\n",
      " 'hsState': 'NY',\n",
      " 'lastName': 'Abdul-Jabbar',\n",
      " 'lastseason': '0',\n",
      " 'middleName': '',\n",
      " 'nameGiven': '',\n",
      " 'nameNick': 'Lew, Cap',\n",
      " 'nameSuffix': '',\n",
      " 'pos': 'C',\n",
      " 'race': 'B',\n",
      " 'useFirst': 'Kareem',\n",
      " 'weight': '225'}\n"
     ]
    }
   ],
   "source": [
    "# Prints a sample player\n",
    "pp.pprint(players[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Removes player with invalid Birth Date\n",
    "players = [player for player in players if (player['birthDate'] and player['birthDate'] != '0000-00-00')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12')\n"
     ]
    }
   ],
   "source": [
    "def GetBirthMonths(players):\n",
    "    birth_dates = [player['birthDate'] for player in players] \n",
    "    birth_months = [birth_date.split('-')[1] for birth_date in birth_dates ]\n",
    "    month_frequency = collections.Counter(birth_months)\n",
    "    del month_frequency['00']  # '00' is for unknow birth dates\n",
    "    months, frequencies = zip(*sorted(month_frequency.items()))\n",
    "    print(months)\n",
    "    return months, frequencies\n",
    "_, frequencies = GetBirthMonths(players)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Report(frequencies):\n",
    "    plt.bar(range(12), frequencies)\n",
    "    plt.ylim(0, 450)\n",
    "    plt.xticks(range(12), month_names, rotation='vertical')\n",
    "    plt.show()\n",
    "    print(frequencies)\n",
    "    print('Number of players:', sum(frequencies))\n",
    "    print('Mean: ', np.mean(frequencies))\n",
    "    print('Min: %d\\tMedian: %d\\tMax: %d' %(\n",
    "        np.min(frequencies), np.median(frequencies), np.max(frequencies)))\n",
    "    print('Variance: %0.2f=%0.2f^2' %(np.var(frequency), np.std(frequencies)))\n",
    "    print('Chi Squere Test:', sp.stats.chisquare(frequency))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(355, 397, 376, 367, 421, 335, 360, 376, 375, 356, 399, 391)\n",
      "Number of players: 4508\n",
      "Mean:  375.6666666666667\n",
      "Min: 335\tMedian: 375\tMax: 421\n",
      "Variance: 506.56=22.51^2\n",
      "Chi Squere Test: Power_divergenceResult(statistic=16.181011535048803, pvalue=0.13454281820888378)\n"
     ]
    }
   ],
   "source": [
    "Report(frequency)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Keeps only USA Players\n",
    "players_us_only = [player for player in players if player['birthCountry'] == 'USA']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12')\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(293, 299, 296, 260, 293, 288, 337, 280, 312, 315, 291, 275)\n",
      "Number of players: 3539\n",
      "Mean:  294.9166666666667\n",
      "Min: 260\tMedian: 293\tMax: 337\n",
      "Variance: 506.56=19.13^2\n",
      "Chi Squere Test: Power_divergenceResult(statistic=16.181011535048803, pvalue=0.13454281820888378)\n"
     ]
    }
   ],
   "source": [
    "_, frequencies = GetBirthMonths(players_us_only)\n",
    "Report(frequencies)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}