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/notebooks/get-data-2016.ipynb

https://bitbucket.org/aabtzu/mlkaggle
Jupyter | 410 lines | 410 code | 0 blank | 0 comment | 0 complexity | 581b303f3d20c6ebd4f9b143aa5ea7f9 MD5 | raw file
    

  1. {
    2. 

  2.  "cells": [
    3. 

  3.   {
    4. 

  4.    "cell_type": "code",
    5. 

  5.    "execution_count": 109,
    6. 

  6.    "metadata": {
    7. 

  7.     "collapsed": true
    8. 

  8.    },
    9. 

  9.    "outputs": [],
    10. 

  10.    "source": [
    11. 

  11.     "import pandas\n",
    12. 

  12.     "import requests\n",
    13. 

  13.     "import bs4\n",
    14. 

  14.     "import os"
    15. 

  15.    ]
    16. 

  16.   },
    17. 

  17.   {
    18. 

  18.    "cell_type": "code",
    19. 

  19.    "execution_count": 127,
    20. 

  20.    "metadata": {
    21. 

  21.     "collapsed": false
    22. 

  22.    },
    23. 

  23.    "outputs": [],
    24. 

  24.    "source": [
    25. 

  25.     "url = \"http://www.fftoday.com/nfl/schedule.php\"\n",
    26. 

  26.     "soup = bs4.BeautifulSoup(requests.get(url).text)\n",
    27. 

  27.     "df = pandas.read_html(str(soup.find_all('table')[8]))[0]\n",
    28. 

  28.     "df.columns = ['date', 'time', 'Visitor', 'Home Team']"
    29. 

  29.    ]
    30. 

  30.   },
    31. 

  31.   {
    32. 

  32.    "cell_type": "code",
    33. 

  33.    "execution_count": 128,
    34. 

  34.    "metadata": {
    35. 

  35.     "collapsed": false
    36. 

  36.    },
    37. 

  37.    "outputs": [],
    38. 

  38.    "source": [
    39. 

  39.     "# get these of the pesky characters\n",
    40. 

  40.     "bad_chars = [u'\\xc2' , u'\\xa0', u' \\xb9']\n",
    41. 

  41.     "\n",
    42. 

  42.     "for cc in df.columns:\n",
    43. 

  43.     "    for c in bad_chars:\n",
    44. 

  44.     "        df[cc] = df[cc].str.replace(c,'')"
    45. 

  45.    ]
    46. 

  46.   },
    47. 

  47.   {
    48. 

  48.    "cell_type": "code",
    49. 

  49.    "execution_count": 129,
    50. 

  50.    "metadata": {
    51. 

  51.     "collapsed": false
    52. 

  52.    },
    53. 

  53.    "outputs": [],
    54. 

  54.    "source": [
    55. 

  55.     "# fill in dates\n",
    56. 

  56.     "for ii,row in df.iterrows():\n",
    57. 

  57.     "    if ii > 0:\n",
    58. 

  58.     "        if row['date'] == '':\n",
    59. 

  59.     "            row['date'] = prev['date']\n",
    60. 

  60.     "    prev = row \n",
    61. 

  61.     "    \n",
    62. 

  62.     "# fix the rows \n",
    63. 

  63.     "df = df.drop_duplicates().dropna()\n",
    64. 

  64.     "df = df[1:]"
    65. 

  65.    ]
    66. 

  66.   },
    67. 

  67.   {
    68. 

  68.    "cell_type": "code",
    69. 

  69.    "execution_count": 130,
    70. 

  70.    "metadata": {
    71. 

  71.     "collapsed": false
    72. 

  72.    },
    73. 

  73.    "outputs": [],
    74. 

  74.    "source": [
    75. 

  75.     "# add year to dates\n",
    76. 

  76.     "df.date = df.date + ' 2016'\n",
    77. 

  77.     "\n",
    78. 

  78.     "# fix the ones in Jan\n",
    79. 

  79.     "date_filter = df.date.str.contains('Jan')\n",
    80. 

  80.     "df.loc[date_filter, 'date'] = df[date_filter].date.str.replace('2016', '2017')\n",
    81. 

  81.     "\n",
    82. 

  82.     "# convert to datetime\n",
    83. 

  83.     "df.date = pandas.to_datetime(df.date, format='%a %b %d %Y')"
    84. 

  84.    ]
    85. 

  85.   },
    86. 

  86.   {
    87. 

  87.    "cell_type": "code",
    88. 

  88.    "execution_count": 131,
    89. 

  89.    "metadata": {
    90. 

  90.     "collapsed": false
    91. 

  91.    },
    92. 

  92.    "outputs": [],
    93. 

  93.    "source": [
    94. 

  94.     "# define the root directory for the nfl code in $MLNLF_ROOT\n",
    95. 

  95.     "\n",
    96. 

  96.     "rootDir = '/Users/amit/repos/mlnfl/nfl'\n",
    97. 

  97.     "codeDir = \"\".join([rootDir, os.path.sep])\n",
    98. 

  98.     "dataRoot = \"\".join([codeDir, \"data\", os.path.sep])\n",
    99. 

  99.     "\n",
    100. 

  100.     "df.to_csv(dataRoot + '/nfl_schedule_2016.csv', index=False)"
    101. 

  101.    ]
    102. 

  102.   },
    103. 

  103.   {
    104. 

  104.    "cell_type": "code",
    105. 

  105.    "execution_count": 138,
    106. 

  106.    "metadata": {
    107. 

  107.     "collapsed": false,
    108. 

  108.     "scrolled": false
    109. 

  109.    },
    110. 

  110.    "outputs": [
    111. 

  111.     {
    112. 

  112.      "name": "stdout",
    113. 

  113.      "output_type": "stream",
    114. 

  114.      "text": [
    115. 

  115.       ">>Denver Broncos<<\n",
    116. 

  116.       ">>Baltimore Ravens<<\n",
    117. 

  117.       ">>Houston Texans<<\n",
    118. 

  118.       ">>New York Jets<<\n",
    119. 

  119.       ">>Philadelphia Eagles<<\n",
    120. 

  120.       ">>Jacksonville Jaguars<<\n",
    121. 

  121.       ">>Tennessee Titans<<\n",
    122. 

  122.       ">>New Orleans Saints<<\n",
    123. 

  123.       ">>Kansas City Chiefs<<\n",
    124. 

  124.       ">>Atlanta Falcons<<\n",
    125. 

  125.       ">>Seattle Seahawks<<\n",
    126. 

  126.       ">>Indianapolis Colts<<\n",
    127. 

  127.       ">>Dallas Cowboys<<\n",
    128. 

  128.       ">>Arizona Cardinals<<\n",
    129. 

  129.       ">>Washington Redskins<<\n",
    130. 

  130.       ">>San Francisco 49ers<<\n",
    131. 

  131.       ">>Buffalo Bills<<\n",
    132. 

  132.       ">>Cleveland Browns<<\n",
    133. 

  133.       ">>Pittsburgh Steelers<<\n",
    134. 

  134.       ">>Washington Redskins<<\n",
    135. 

  135.       ">>Houston Texans<<\n",
    136. 

  136.       ">>New England Patriots<<\n",
    137. 

  137.       ">>New York Giants<<\n",
    138. 

  138.       ">>Carolina Panthers<<\n",
    139. 

  139.       ">>Detroit Lions<<\n",
    140. 

  140.       ">>Los Angeles Rams<<\n",
    141. 

  141.       ">>Arizona Cardinals<<\n",
    142. 

  142.       ">>Oakland Raiders<<\n",
    143. 

  143.       ">>Denver Broncos<<\n",
    144. 

  144.       ">>San Diego Chargers<<\n",
    145. 

  145.       ">>Minnesota Vikings<<\n",
    146. 

  146.       ">>Chicago Bears<<\n",
    147. 

  147.       ">>New England Patriots<<\n",
    148. 

  148.       ">>Buffalo Bills<<\n",
    149. 

  149.       ">>Jacksonville Jaguars<<\n",
    150. 

  150.       ">>Miami Dolphins<<\n",
    151. 

  151.       ">>Cincinnati Bengals<<\n",
    152. 

  152.       ">>Green Bay Packers<<\n",
    153. 

  153.       ">>Carolina Panthers<<\n",
    154. 

  154.       ">>Tennessee Titans<<\n",
    155. 

  155.       ">>New York Giants<<\n",
    156. 

  156.       ">>Tampa Bay Buccaneers<<\n",
    157. 

  157.       ">>Seattle Seahawks<<\n",
    158. 

  158.       ">>Kansas City Chiefs<<\n",
    159. 

  159.       ">>Philadelphia Eagles<<\n",
    160. 

  160.       ">>Indianapolis Colts<<\n",
    161. 

  161.       ">>Dallas Cowboys<<\n",
    162. 

  162.       ">>New Orleans Saints<<\n",
    163. 

  163.       ">>Cincinnati Bengals<<\n",
    164. 

  164.       ">>Jacksonville Jaguars <<\n",
    165. 

  165.       ">>New England Patriots<<\n",
    166. 

  166.       ">>Atlanta Falcons<<\n",
    167. 

  167.       ">>Washington Redskins<<\n",
    168. 

  168.       ">>Chicago Bears<<\n",
    169. 

  169.       ">>Baltimore Ravens<<\n",
    170. 

  170.       ">>New York Jets<<\n",
    171. 

  171.       ">>Houston Texans<<\n",
    172. 

  172.       ">>Tampa Bay Buccaneers<<\n",
    173. 

  173.       ">>San Francisco 49ers<<\n",
    174. 

  174.       ">>Arizona Cardinals<<\n",
    175. 

  175.       ">>San Diego Chargers<<\n",
    176. 

  176.       ">>Pittsburgh Steelers<<\n",
    177. 

  177.       ">>Minnesota Vikings<<\n",
    178. 

  178.       ">>San Francisco 49ers<<\n",
    179. 

  179.       ">>Indianapolis Colts<<\n",
    180. 

  180.       ">>Minnesota Vikings<<\n",
    181. 

  181.       ">>Cleveland Browns<<\n",
    182. 

  182.       ">>Pittsburgh Steelers<<\n",
    183. 

  183.       ">>Detroit Lions<<\n",
    184. 

  184.       ">>Miami Dolphins<<\n",
    185. 

  185.       ">>Baltimore Ravens<<\n",
    186. 

  186.       ">>Denver Broncos<<\n",
    187. 

  187.       ">>Los Angeles Rams<<\n",
    188. 

  188.       ">>Dallas Cowboys<<\n",
    189. 

  189.       ">>Oakland Raiders<<\n",
    190. 

  190.       ">>Green Bay Packers<<\n",
    191. 

  191.       ">>Carolina Panthers<<\n",
    192. 

  192.       ">>San Diego Chargers<<\n",
    193. 

  193.       ">>New York Giants<<\n",
    194. 

  194.       ">>New Orleans Saints<<\n",
    195. 

  195.       ">>New England Patriots<<\n",
    196. 

  196.       ">>Tennessee Titans<<\n",
    197. 

  197.       ">>Chicago Bears<<\n",
    198. 

  198.       ">>Detroit Lions<<\n",
    199. 

  199.       ">>Washington Redskins<<\n",
    200. 

  200.       ">>Miami Dolphins<<\n",
    201. 

  201.       ">>Buffalo Bills<<\n",
    202. 

  202.       ">>Oakland Raiders<<\n",
    203. 

  203.       ">>Seattle Seahawks<<\n",
    204. 

  204.       ">>Green Bay Packers<<\n",
    205. 

  205.       ">>Houston Texans<<\n",
    206. 

  206.       ">>Arizona Cardinals<<\n",
    207. 

  207.       ">>Green Bay Packers<<\n",
    208. 

  208.       ">>Los Angeles Rams <<\n",
    209. 

  209.       ">>New York Jets<<\n",
    210. 

  210.       ">>Miami Dolphins<<\n",
    211. 

  211.       ">>Cincinnati Bengals<<\n",
    212. 

  212.       ">>Tennessee Titans<<\n",
    213. 

  213.       ">>Philadelphia Eagles<<\n",
    214. 

  214.       ">>Kansas City Chiefs<<\n",
    215. 

  215.       ">>Jacksonville Jaguars<<\n",
    216. 

  216.       ">>Detroit Lions<<\n",
    217. 

  217.       ">>Atlanta Falcons<<\n",
    218. 

  218.       ">>San Francisco 49ers<<\n",
    219. 

  219.       ">>Pittsburgh Steelers<<\n",
    220. 

  220.       ">>Arizona Cardinals<<\n",
    221. 

  221.       ">>Denver Broncos<<\n",
    222. 

  222.       ">>Tennessee Titans<<\n",
    223. 

  223.       ">>Cincinnati Bengals <<\n",
    224. 

  224.       ">>Houston Texans<<\n",
    225. 

  225.       ">>Atlanta Falcons<<\n",
    226. 

  226.       ">>Indianapolis Colts<<\n",
    227. 

  227.       ">>Buffalo Bills<<\n",
    228. 

  228.       ">>Cleveland Browns<<\n",
    229. 

  229.       ">>Tampa Bay Buccaneers<<\n",
    230. 

  230.       ">>New Orleans Saints<<\n",
    231. 

  231.       ">>Denver Broncos<<\n",
    232. 

  232.       ">>Carolina Panthers<<\n",
    233. 

  233.       ">>Dallas Cowboys<<\n",
    234. 

  234.       ">>Chicago Bears<<\n",
    235. 

  235.       ">>Tampa Bay Buccaneers<<\n",
    236. 

  236.       ">>Cleveland Browns<<\n",
    237. 

  237.       ">>Minnesota Vikings<<\n",
    238. 

  238.       ">>Kansas City Chiefs<<\n",
    239. 

  239.       ">>Miami Dolphins<<\n",
    240. 

  240.       ">>New York Giants<<\n",
    241. 

  241.       ">>Baltimore Ravens<<\n",
    242. 

  242.       ">>Los Angeles Rams<<\n",
    243. 

  243.       ">>San Francisco 49ers<<\n",
    244. 

  244.       ">>Green Bay Packers<<\n",
    245. 

  245.       ">>San Diego Chargers<<\n",
    246. 

  246.       ">>Oakland Raiders<<\n",
    247. 

  247.       ">>Seattle Seahawks<<\n",
    248. 

  248.       ">>Baltimore Ravens<<\n",
    249. 

  249.       ">>Philadelphia Eagles<<\n",
    250. 

  250.       ">>Tampa Bay Buccaneers<<\n",
    251. 

  251.       ">>New Orleans Saints<<\n",
    252. 

  252.       ">>Tennessee Titans<<\n",
    253. 

  253.       ">>Jacksonville Jaguars<<\n",
    254. 

  254.       ">>Carolina Panthers<<\n",
    255. 

  255.       ">>New York Jets<<\n",
    256. 

  256.       ">>Washington Redskins<<\n",
    257. 

  257.       ">>San Diego Chargers<<\n",
    258. 

  258.       ">>Pittsburgh Steelers<<\n",
    259. 

  259.       ">>Arizona Cardinals<<\n",
    260. 

  260.       ">>New England Patriots<<\n",
    261. 

  261.       ">>New York Giants<<\n",
    262. 

  262.       ">>Carolina Panthers<<\n",
    263. 

  263.       ">>Minnesota Vikings<<\n",
    264. 

  264.       ">>Dallas Cowboys<<\n",
    265. 

  265.       ">>Cincinnati Bengals<<\n",
    266. 

  266.       ">>New York Giants<<\n",
    267. 

  267.       ">>Detroit Lions<<\n",
    268. 

  268.       ">>Cleveland Browns<<\n",
    269. 

  269.       ">>Kansas City Chiefs<<\n",
    270. 

  270.       ">>Indianapolis Colts<<\n",
    271. 

  271.       ">>Los Angeles Rams<<\n",
    272. 

  272.       ">>San Francisco 49ers<<\n",
    273. 

  273.       ">>Seattle Seahawks<<\n",
    274. 

  274.       ">>Washington Redskins<<\n",
    275. 

  275.       ">>Oakland Raiders<<\n",
    276. 

  276.       ">>Detroit Lions<<\n",
    277. 

  277.       ">>Dallas Cowboys<<\n",
    278. 

  278.       ">>Indianapolis Colts<<\n",
    279. 

  279.       ">>Atlanta Falcons<<\n",
    280. 

  280.       ">>Baltimore Ravens<<\n",
    281. 

  281.       ">>Buffalo Bills<<\n",
    282. 

  282.       ">>New Orleans Saints<<\n",
    283. 

  283.       ">>Cleveland Browns<<\n",
    284. 

  284.       ">>Houston Texans<<\n",
    285. 

  285.       ">>Miami Dolphins<<\n",
    286. 

  286.       ">>Chicago Bears<<\n",
    287. 

  287.       ">>Tampa Bay Buccaneers<<\n",
    288. 

  288.       ">>Oakland Raiders<<\n",
    289. 

  289.       ">>Denver Broncos<<\n",
    290. 

  290.       ">>New York Jets<<\n",
    291. 

  291.       ">>Philadelphia Eagles<<\n",
    292. 

  292.       ">>Minnesota Vikings<<\n",
    293. 

  293.       ">>Jacksonville Jaguars<<\n",
    294. 

  294.       ">>New Orleans Saints<<\n",
    295. 

  295.       ">>Green Bay Packers<<\n",
    296. 

  296.       ">>Atlanta Falcons<<\n",
    297. 

  297.       ">>New England Patriots<<\n",
    298. 

  298.       ">>Baltimore Ravens<<\n",
    299. 

  299.       ">>Cincinnati Bengals<<\n",
    300. 

  300.       ">>Chicago Bears<<\n",
    301. 

  301.       ">>Oakland Raiders<<\n",
    302. 

  302.       ">>Pittsburgh Steelers<<\n",
    303. 

  303.       ">>San Diego Chargers<<\n",
    304. 

  304.       ">>Arizona Cardinals<<\n",
    305. 

  305.       ">>Seattle Seahawks<<\n",
    306. 

  306.       ">>New York Jets<<\n",
    307. 

  307.       ">>Kansas City Chiefs<<\n",
    308. 

  308.       ">>Miami Dolphins<<\n",
    309. 

  309.       ">>Detroit Lions<<\n",
    310. 

  310.       ">>Cleveland Browns<<\n",
    311. 

  311.       ">>Tennessee Titans<<\n",
    312. 

  312.       ">>Indianapolis Colts<<\n",
    313. 

  313.       ">>Jacksonville Jaguars<<\n",
    314. 

  314.       ">>Tampa Bay Buccaneers<<\n",
    315. 

  315.       ">>Buffalo Bills<<\n",
    316. 

  316.       ">>Carolina Panthers<<\n",
    317. 

  317.       ">>Philadelphia Eagles<<\n",
    318. 

  318.       ">>San Francisco 49ers<<\n",
    319. 

  319.       ">>Los Angeles Rams<<\n",
    320. 

  320.       ">>Green Bay Packers<<\n",
    321. 

  321.       ">>New York Giants<<\n",
    322. 

  322.       ">>New England Patriots<<\n",
    323. 

  323.       ">>Seattle Seahawks<<\n",
    324. 

  324.       ">>New York Jets<<\n",
    325. 

  325.       ">>Buffalo Bills<<\n",
    326. 

  326.       ">>New York Giants<<\n",
    327. 

  327.       ">>Chicago Bears<<\n",
    328. 

  328.       ">>Minnesota Vikings<<\n",
    329. 

  329.       ">>Houston Texans<<\n",
    330. 

  330.       ">>Baltimore Ravens<<\n",
    331. 

  331.       ">>Dallas Cowboys<<\n",
    332. 

  332.       ">>Kansas City Chiefs<<\n",
    333. 

  333.       ">>Arizona Cardinals<<\n",
    334. 

  334.       ">>Atlanta Falcons<<\n",
    335. 

  335.       ">>Denver Broncos<<\n",
    336. 

  336.       ">>San Diego Chargers<<\n",
    337. 

  337.       ">>Cincinnati Bengals<<\n",
    338. 

  338.       ">>Washington Redskins<<\n",
    339. 

  339.       ">>Philadelphia Eagles<<\n",
    340. 

  340.       ">>Carolina Panthers<<\n",
    341. 

  341.       ">>Buffalo Bills<<\n",
    342. 

  342.       ">>Green Bay Packers<<\n",
    343. 

  343.       ">>New England Patriots<<\n",
    344. 

  344.       ">>Cleveland Browns<<\n",
    345. 

  345.       ">>New Orleans Saints<<\n",
    346. 

  346.       ">>Jacksonville Jaguars<<\n",
    347. 

  347.       ">>Chicago Bears<<\n",
    348. 

  348.       ">>Oakland Raiders<<\n",
    349. 

  349.       ">>Seattle Seahawks<<\n",
    350. 

  350.       ">>Los Angeles Rams<<\n",
    351. 

  351.       ">>Houston Texans<<\n",
    352. 

  352.       ">>Pittsburgh Steelers<<\n",
    353. 

  353.       ">>Kansas City Chiefs<<\n",
    354. 

  354.       ">>Dallas Cowboys<<\n",
    355. 

  355.       ">>Cincinnati Bengals<<\n",
    356. 

  356.       ">>New York Jets<<\n",
    357. 

  357.       ">>Tampa Bay Buccaneers<<\n",
    358. 

  358.       ">>Minnesota Vikings<<\n",
    359. 

  359.       ">>Pittsburgh Steelers<<\n",
    360. 

  360.       ">>Philadelphia Eagles<<\n",
    361. 

  361.       ">>Detroit Lions<<\n",
    362. 

  362.       ">>Tennessee Titans<<\n",
    363. 

  363.       ">>Indianapolis Colts<<\n",
    364. 

  364.       ">>Miami Dolphins<<\n",
    365. 

  365.       ">>Atlanta Falcons<<\n",
    366. 

  366.       ">>Washington Redskins<<\n",
    367. 

  367.       ">>Los Angeles Rams<<\n",
    368. 

  368.       ">>San Diego Chargers<<\n",
    369. 

  369.       ">>Denver Broncos<<\n",
    370. 

  370.       ">>San Francisco 49ers<<\n"
    371. 

  371.      ]
    372. 

  372.     }
    373. 

  373.    ],
    374. 

  374.    "source": [
    375. 

  375.     "for ii, rr in df.iterrows():\n",
    376. 

  376.     "    print '>>'+rr['Home Team']+'<<'"
    377. 

  377.    ]
    378. 

  378.   },
    379. 

  379.   {
    380. 

  380.    "cell_type": "code",
    381. 

  381.    "execution_count": null,
    382. 

  382.    "metadata": {
    383. 

  383.     "collapsed": true
    384. 

  384.    },
    385. 

  385.    "outputs": [],
    386. 

  386.    "source": []
    387. 

  387.   }
    388. 

  388.  ],
    389. 

  389.  "metadata": {
    390. 

  390.   "kernelspec": {
    391. 

  391.    "display_name": "Python 2",
    392. 

  392.    "language": "python",
    393. 

  393.    "name": "python2"
    394. 

  394.   },
    395. 

  395.   "language_info": {
    396. 

  396.    "codemirror_mode": {
    397. 

  397.     "name": "ipython",
    398. 

  398.     "version": 2
    399. 

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    400. 

  400.    "file_extension": ".py",
    401. 

  401.    "mimetype": "text/x-python",
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  411.