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{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"# special IPython command to prepare the notebook for matplotlib\n",
"%matplotlib inline \n",
"\n",
"from collections import defaultdict\n",
"\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import requests\n",
"from pattern import web\n",
"import re\n",
"\n",
"from numpy.random import rand\n",
"from numpy import arange"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Fetching combine data from Steelers Depot\n",
"\n",
"In this notebook we fetch data about draft prospects from the Steelers Depot website.\n",
"\n",
"\n",
"http://www.steelersdepot.com/2014-nfl-combine-results-defensive-linemen/ has a table for position groups for different years that summarizes their combine performance. We will combine the data for all years in a single panda dataframe and visualize the combine performance."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Fetching draft data from the Steelers depot site\n",
"\n",
"Our first step is to fetch the content from a relevant webpage. \n",
"\n",
"Follow the link below to see the structure of the webpage we'll be working on. \n",
"\n",
"http://www.steelersdepot.com/2014-nfl-combine-results-defensive-linemen/\n",
"\n",
"We'll use the python requests module to get the text of the webpage. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"url0 = 'http://www.steelersdepot.com/2014-nfl-combine-results-defensive-linemen/'\n",
"\n",
"\n",
"# used later\n",
"url1 = 'http://www.steelersdepot.com/2014-nfl-combine-results-linebackers/'\n",
"url2 = 'http://www.steelersdepot.com/2013-nfl-combine-results-defensive-linemen/'\n",
"url3 = 'http://www.steelersdepot.com/2013-nfl-combine-results-linebackers/'\n",
"\n",
"website_html = requests.get(url0).text\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Parsing html data\n",
"\n",
"We now have a string of text that's structured like this. \n",
"\n",
" <!DOCTYPE html> \n",
" <html> \n",
" <body> \n",
" \n",
" <h1>My First Heading</h1>; \n",
" \n",
" <p>My first paragraph.</p> \n",
" \n",
" </body> \n",
" </html> \n",
" \n",
"\n",
"We'll use the python module pattern to read and understand the html for us. That will make it easy for us to extract the elements that we're interested in. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def get_html_table(html):\n",
" \"\"\"Parse html and return html tables.\"\"\"\n",
"\n",
" # web is the pattern module\n",
" dom = web.Element(html)\n",
" \n",
" # we can get all tables using\n",
" # tbls = dom('table')\n",
" # returns a list of the elements that you can \n",
" # iterate over\n",
" tbls = dom.by_class('tableizer-table sortable')\n",
"\n",
" #### 2. step: get all tables we care about\n",
"\n",
" return tbls\n",
"\n",
"data_table = get_html_table(website_html)\n",
"print \"table length: %d\" %len(data_table)\n",
"print data_table[0].attributes\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"table length: 1\n",
"{u'class': u'tableizer-table sortable'}\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Implementation notes\n",
"At this point we've used pattern to extract the table that we want from the html we scraped from the Steelers Depot website. \n",
"\n",
"We now want to build a dataframe with the player name as the row label and combine activity as the column label. \n",
"\n",
"Here is what's going on with this code. When the pattern module parsed the hmtl it returns a list of all the tables that match the class name that we provided. In this case there's only one table that matches the classname but that single table is still returned in a list that's of length 1. So in the first step we're just extracting the table from the list. \n",
"\n",
" table[0]\n",
" \n",
"In the next step we're doing something similar. We're getting all of the elements of type ('tr'). ('tr') equates to the rows of the table. Again, the result it returned as a list. Since we're only interested in the headers, which are in the first row, we pull out just the first row. \n",
"\n",
" table[0]('tr')[0] \n",
"\n",
"Now we want the actual text in each cell (i.e. the actual column labels). Selecting ('th') returns a list of all the ('th') elements. \n",
"\n",
" th_s = table[0]('tr')[0]('th')\n",
"\n",
"That gives us a list of elements that look like this\n",
"\n",
" <th><span style=\"font-size: small;\">PLAYER</span></th>\n",
" <th><span style=\"font-size: small;\">COLLEGE</span></th>\n",
" <th><span style=\"font-size: small;\">POS</span></th>\n",
" \n",
"Now that we have a list of the ('th') elements we extract the actual text. Concretely, if we have the element\n",
" \n",
" <th><span style=\"font-size: small;\">PLAYER</span></th>\n",
"\n",
"Then we want to extract the text \"PLAYER\" which we accomplish with the following code\n",
" [td('span')[0].content if len(td('span')) != 0 else u\"n/a\" \n",
" for td in tds]\n",
"\n",
"## Implementation note: Going through the rows\n",
"We're going to build a dictionary of dictionaries. The key is going to be the player name, the 2nd key will be the column labels, the values will be the combine result for each category. \n",
"\n",
" \n",
"## Extracting data and filling it into a dictionary"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def clean_num(str): \n",
" if(str == \"DNP\"): \n",
" return \"DNP\" \n",
" nums = re.split(r\"'|\\\"\", str)\n",
" res = 0\n",
" try: \n",
" res = float(nums[0]) + float(nums[1])/12\n",
" except ValueError: \n",
" res = float(nums[0][:-1]) + float(nums[1])/12\n",
" return res\n",
" \n",
"def get_data(table):\n",
" \"\"\"Extract data for players from table and store it in dictionary.\n",
" Args:\n",
" table: a DOM element\n",
" \"\"\"\n",
" \n",
" result = defaultdict(dict)\n",
"\n",
" # we get the first row in the table and all the th elements\n",
" # this gives us a list of all the column headers. \n",
" th_s = table[0]('tr')[0]('th')\n",
" \n",
" format_2014 = True\n",
" if th_s[0]('span') == []: \n",
" format_2014 = False\n",
" \n",
" # use a little python magic to extract the actual text\n",
" \n",
" if format_2014: \n",
" headers = [th('span')[0].content for th in th_s]\n",
" else: \n",
" headers = [th.content for th in th_s] \n",
" headers[headers.index(\"VERT\")] = \"VJ\"\n",
" headers[headers.index(\"JUMP\")] = \"BJ\"\n",
" \n",
"\n",
" \n",
" \n",
" # we're going to work with the vertical jump data\n",
" # we'll use the indices below to convert text values to number values\n",
" bj_idx = headers.index(\"BJ\")\n",
" vj_idx = headers.index(\"VJ\") \n",
" wgt_idx = headers.index(\"WGT\")\n",
" \n",
" # throw away the header row\n",
" rows = table[0]('tr')[1:]\n",
" for row in rows: \n",
" tds = row('td')\n",
" if format_2014: \n",
" row_data = [td('span')[0].content if len(td('span')) != 0 else u\"n/a\" \n",
" for td in tds]\n",
" else: \n",
" row_data = [td.content for td in tds]\n",
" \n",
" row_data[vj_idx] = float(row_data[vj_idx]) if row_data[vj_idx] != u\"DNP\" else 0\n",
" row_data[bj_idx] = clean_num(row_data[bj_idx])\n",
" row_data[wgt_idx] = int(row_data[wgt_idx])\n",
" \n",
" subdict = dict(zip(headers, row_data))\n",
" # iterate over all tables, extract headings and actual data and combine data into single dict\n",
" result[row_data[0]] = subdict\n",
" \n",
" return result\n",
"\n",
"\n",
"result = get_data(data_table)\n",
"\n",
"# quick check that we were put the data into the dataframe successfully. \n",
"# for key in result: \n",
"# print (str(result[key]['VJ']) + \", \"), "
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Creating a dataframe from a dictionary"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# create dataframe\n",
"\n",
"df = pd.DataFrame.from_dict(result, orient='index')\n",
"# sort based on year\n",
"df.sort(axis=1,inplace=True)\n",
"print df\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 10(1) 10(2) 20S 225 3C 40(1) 40(2) 40(O) ARMS \\\n",
"Bromley, Jason 1.72 1.79 n/a 26 7.92 4.93 5.13 5.06 33 1/2 \n",
"Carrethers, Ryan 1.78 1.88 n/a 32 7.89 5.44 5.5 5.47 31 3/4 \n",
"Clarke, William 1.69 1.63 n/a 22 7.26 4.72 4.75 4.77 34 5/8 \n",
"Clowney, Jadeveon 1.56 1.59 n/a 21 7.27 4.47 4.48 4.53 34 1/2 \n",
"Coleman, Deandre DNP DNP n/a 24 DNP DNP DNP DNP 34 3/8 \n",
"Crichton, Scott 1.62 1.76 4.29 24 7.19 4.78 4.82 4.84 32 3/4 \n",
"Donald, Aaron 1.59 1.63 4.39 35 7.11 4.65 4.66 4.68 32 5/8 \n",
"Ealy, Kony 1.72 1.66 n/a 22 6.83 4.84 4.84 4.92 34 1/4 \n",
"Easley, Dominique DNP DNP n/a 26 DNP DNP DNP DNP 32 7/8 \n",
"Edebali, Kasim 1.64 N/A 4.35 19 7.2 4.69 N/A 4.79 32 3/4 \n",
"Ellis, Justin 1.88 N/A n/a 25 7.81 5.15 5.12 5.27 33 \n",
"Enemkpali, Ikemefuna 1.75 N/A n/a 28 7.67 4.9 N/A 5.01 33 1/8 \n",
"Ferguson, Ego DNP DNP n/a 24 DNP DNP DNP DNP 32 1/4 \n",
"Ford, Donald DNP DNP n/a DNP DNP DNP DNP DNP 32 7/8 \n",
"Gayle, Jadon 1.6 N/A 4.27 26 7.19 4.65 4.6 4.7 32 3/8 \n",
"Hageman, Ra'shede 1.81 1.75 n/a 32 7.87 4.97 5.02 5.02 34 1/4 \n",
"Hart, Taylor DNP DNP n/a 21 DNP DNP DNP DNP 32 3/4 \n",
"Hyder, Kerry 1.75 N/A 4.33 20 7.23 4.97 N/A 5.1 33 1/2 \n",
"Jeffcoat, Jackson 1.6 N/A 4.18 18 6.97 4.6 N/A 4.63 33 7/8 \n",
"Jernigan, Timmy 1.72 1.75 n/a 27 DNP 5.09 4.93 5.06 31 5/8 \n",
"Johnson, Anthony 1.88 1.88 n/a 20 7.93 5.25 5.25 5.24 33 \n",
"Jones, Daquan 1.81 1.87 n/a 25 7.76 5.28 5.34 5.35 33 1/2 \n",
"Jones, Howard 1.58 1.66 4.41 21 7.16 4.6 4.57 4.60 34 1/8 \n",
"Kerr, Zachariah 1.78 1.72 n/a 28 7.93 5.07 5.03 5.08 32 7/8 \n",
"Lawrence, Demarcus 1.63 1.62 4.31 20 7.46 4.72 4.81 4.8 33 3/4 \n",
"Lynch, Aaron DNP DNP n/a 18 DNP DNP DNP DNP 34 \n",
"Manumaleuna, Eathyn 1.68 1.69 n/a 29 7.78 5.2 5.15 5.16 32 1/4 \n",
"Marsh, Cassius 1.69 1.66 4.25 14 7.08 4.89 4.89 4.89 32 3/4 \n",
"Martin, Kareem 1.6 1.53 4.33 22 7.2 4.72 4.68 4.72 35 \n",
"Mauro, Joshua 1.78 1.75 n/a 21 7.43 5.11 5.16 5.21 33 \n",
"Mccullers, Daniel DNP DNP n/a 27 DNP DNP DNP DNP 36 5/8 \n",
"Mims, Tevin 1.69 1.69 n/a 17 DNP 4.95 4.95 4.95 33 1/2 \n",
"Moore, Zachary 1.56 1.63 n/a 23 7.41 4.82 4.87 4.84 33 3/4 \n",
"Newsome, Jonathan 1.62 1.66 n/a 21 7.31 4.69 4.75 4.73 33 1/4 \n",
"Nix, Louis 1.85 1.87 n/a DNP 8.29 5.35 5.37 5.42 33 \n",
"Pagan, Jeoffrey 1.72 1.75 n/a DNP DNP 4.94 5.12 DNP 33 \n",
"Palepoi, Tenny DNP DNP n/a 31 7.67 DNP DNP 5.1 30 1/2 \n",
"Pennel, Michael 1.75 1.75 n/a 23 7.94 5.2 5.19 5.23 33 3/8 \n",
"Quarles, Kelcy 1.81 1.87 n/a 27 DNP 5 5.1 5.03 33 1/4 \n",
"Ramsey, Kaleb DNP DNP n/a 36 DNP DNP DNP DNP 32 7/8 \n",
"Reid, Caraun 1.69 1.69 n/a 20 7.59 4.9 5 4.91 33 \n",
"Sam, Michael 1.72 1.75 n/a 17 7.8 4.79 4.84 4.91 33 3/8 \n",
"Smith, Chris 1.59 1.63 n/a 28 7.55 4.54 4.69 4.71 34 1/8 \n",
"Smith, Marcus 1.57 1.6 n/a 23 7.48 4.63 4.65 4.68 34 \n",
"Stephen, Shamar 1.81 INJ n/a 25 DNP 5.17 INJ 5.25 33 1/8 \n",
"Stinson, Edward DNP DNP n/a DNP DNP DNP DNP DNP 33 3/4 \n",
"Sutton, William 1.75 1.82 n/a 24 7.93 5.37 5.47 5.36 31 1 /4 \n",
"Thomas, Robert DNP DNP n/a 32 DNP DNP DNP DNP 33 7/8 \n",
"Thornton, Khyri 1.72 1.72 n/a 28 7.83 5.05 4.94 5.03 32 1/2 \n",
"Tuitt, Stephon DNP DNP n/a 31 DNP DNP DNP DNP 34 3/4 \n",
"Uko, George 1.75 1.79 n/a 18 DNP 4.9 4.88 4.99 33 1/4 \n",
"Urban, Brent DNP DNP n/a DNP DNP DNP DNP DNP 34 1/4 \n",
"Webster, Larry 1.63 1.57 n/a 17 7.29 4.62 4.6 4.58 33 1/2 \n",
"Westbrooks, Ethan 1.75 1.75 n/a 19 7.3 4.97 4.85 4.9 33 1/4 \n",
"Whaley, Christopher DNP DNP n/a DNP DNP DNP DNP DNP 32 1/8 \n",
"Wynn, Kerry 1.6 INJ n/a 31 DNP 5 INJ 4.97 31 3/4 \n",
"\n",
" BJ COLLEGE HANDS HGT \\\n",
"Bromley, Jason 8.833333 Styracuse 9 1/4 6031 \n",
"Carrethers, Ryan 7.333333 Arkansas St. 9 3/8 6012 \n",
"Clarke, William 9.333333 West Virginia 9 7/8 6061 \n",
"Clowney, Jadeveon 10.33333 South Carolina 10 6052 \n",
"Coleman, Deandre DNP California 10 1/4 6050 \n",
"Crichton, Scott 9 Oregon St. 10 1/8 6027 \n",
"Donald, Aaron 9.666667 Pittsburgh 9 7/8 6006 \n",
"Ealy, Kony 9.5 Missouri 9 1/2 6040 \n",
"Easley, Dominique DNP Florida 9 3/4 6020 \n",
"Edebali, Kasim 9.583333 Boston College 9 1/2 6020 \n",
"Ellis, Justin 7.666667 Louisiana Tech 10 1/8 6014 \n",
"Enemkpali, Ikemefuna 9.333333 Louisiana Tech 9 3/4 6006 \n",
"Ferguson, Ego DNP LSU 10 3/4 6030 \n",
"Ford, Donald DNP Auburn 10 1/4 6021 \n",
"Gayle, Jadon 10.16667 Virginia Tech 9 5/8 6036 \n",
"Hageman, Ra'shede 9.5 Minnesota 10 1/4 6057 \n",
"Hart, Taylor DNP Oregon 10 1/8 6060 \n",
"Hyder, Kerry 9 Texas Tech 9 3/4 6024 \n",
"Jeffcoat, Jackson 10.25 Texas 9 5/8 6030 \n",
"Jernigan, Timmy 8.5 Florida St. 9 5/8 6015 \n",
"Johnson, Anthony 8.5 LSU 10 3/8 6024 \n",
"Jones, Daquan 8.416667 Penn St. 9 5/8 6036 \n",
"Jones, Howard 10.33333 Shepherd 9 1/2 6024 \n",
"Kerr, Zachariah 8.25 Delaware 9 3/4 6013 \n",
"Lawrence, Demarcus 9.416667 Boise St. 11 6027 \n",
"Lynch, Aaron DNP South Florida 10 1/4 6050 \n",
"Manumaleuna, Eathyn 8.416667 BYU 10 6022 \n",
"Marsh, Cassius 9 UCLA 9 1/2 6040 \n",
"Martin, Kareem 10.75 North Carolina 10 6057 \n",
"Mauro, Joshua 9.666667 Stanford 9 1/2 6057 \n",
"Mccullers, Daniel 8.083333 Tennessee 11 6070 \n",
"Mims, Tevin 9.083333 South Florida 9 3/8 6040 \n",
"Moore, Zachary 10.25 Concordia-SP 9 5/8 6054 \n",
"Newsome, Jonathan 9.75 Ball St. 9 5/8 6025 \n",
"Nix, Louis 8.083333 Notre Dame 9 7/8 6023 \n",
"Pagan, Jeoffrey DNP Alabama 9 5/8 6030 \n",
"Palepoi, Tenny 9.25 Utah 9 7/8 6014 \n",
"Pennel, Michael 8.5 Colorado St. Pueblo 9 7/8 6042 \n",
"Quarles, Kelcy 8.5 South Carolina 9 3/8 6036 \n",
"Ramsey, Kaleb DNP Boston College 9 3/4 6030 \n",
"Reid, Caraun 8.833333 Princeton 10 1/2 6021 \n",
"Sam, Michael 9.5 Missouri 9 3/8 6020 \n",
"Smith, Chris 10.08333 Arkansas 9 1/2 6010 \n",
"Smith, Marcus 10.08333 Louisville 10 6033 \n",
"Stephen, Shamar 8.583333 Connecticut 10 6047 \n",
"Stinson, Edward DNP Alabama 9 3/8 6030 \n",
"Sutton, William 8.25 Arizona St. 10 6004 \n",
"Thomas, Robert DNP Arkansas 10 6010 \n",
"Thornton, Khyri 9.333333 Southern Miss 9 1/2 6025 \n",
"Tuitt, Stephon DNP Notre Dame 10 6050 \n",
"Uko, George 9.166667 USC 10 1/8 6025 \n",
"Urban, Brent DNP Virginia 9 3/4 6070 \n",
"Webster, Larry 10.25 Bloomsburg 10 1/8 6056 \n",
"Westbrooks, Ethan 9.166667 West Texas A&amp;M 9 5/8 6034 \n",
"Whaley, Christopher DNP Texas 9 1/8 6030 \n",
"Wynn, Kerry 9.416667 Richmond 9 1/8 6047 \n",
"\n",
" PLAYER POS VJ WGT \n",
"Bromley, Jason Bromley, Jason DL 33.5 306 \n",
"Carrethers, Ryan Carrethers, Ryan DL 26.0 337 \n",
"Clarke, William Clarke, William DL 32.0 271 \n",
"Clowney, Jadeveon Clowney, Jadeveon DL 37.5 266 \n",
"Coleman, Deandre Coleman, Deandre DL 0.0 314 \n",
"Crichton, Scott Crichton, Scott DL 31.5 273 \n",
"Donald, Aaron Donald, Aaron DL 32.0 285 \n",
"Ealy, Kony Ealy, Kony DL 31.0 273 \n",
"Easley, Dominique Easley, Dominique DL 0.0 288 \n",
"Edebali, Kasim Edebali, Kasim DL 34.5 253 \n",
"Ellis, Justin Ellis, Justin DL 28.0 334 \n",
"Enemkpali, Ikemefuna Enemkpali, Ikemefuna DL 34.0 261 \n",
"Ferguson, Ego Ferguson, Ego DL 0.0 315 \n",
"Ford, Donald Ford, Donald DL 0.0 252 \n",
"Gayle, Jadon Gayle, Jadon DL 37.0 259 \n",
"Hageman, Ra'shede Hageman, Ra'shede DL 35.5 310 \n",
"Hart, Taylor Hart, Taylor DL 0.0 281 \n",
"Hyder, Kerry Hyder, Kerry DL 29.5 290 \n",
"Jeffcoat, Jackson Jeffcoat, Jackson DL 36.0 247 \n",
"Jernigan, Timmy Jernigan, Timmy DL 29.5 299 \n",
"Johnson, Anthony Johnson, Anthony DL 24.5 308 \n",
"Jones, Daquan Jones, Daquan DL 27.5 322 \n",
"Jones, Howard Jones, Howard DL 40.5 235 \n",
"Kerr, Zachariah Kerr, Zachariah DL 28.5 326 \n",
"Lawrence, Demarcus Lawrence, Demarcus DL 34.5 251 \n",
"Lynch, Aaron Lynch, Aaron DL 0.0 249 \n",
"Manumaleuna, Eathyn Manumaleuna, Eathyn DL 28.0 296 \n",
"Marsh, Cassius Marsh, Cassius DL 32.0 252 \n",
"Martin, Kareem Martin, Kareem DL 35.5 272 \n",
"Mauro, Joshua Mauro, Joshua DL 32.0 271 \n",
"Mccullers, Daniel Mccullers, Daniel DL 20.5 352 \n",
"Mims, Tevin Mims, Tevin DL 27.5 260 \n",
"Moore, Zachary Moore, Zachary DL 33.5 269 \n",
"Newsome, Jonathan Newsome, Jonathan DL 34.0 247 \n",
"Nix, Louis Nix, Louis DL 25.5 331 \n",
"Pagan, Jeoffrey Pagan, Jeoffrey DL 0.0 310 \n",
"Palepoi, Tenny Palepoi, Tenny DL 30.5 298 \n",
"Pennel, Michael Pennel, Michael DL 28.5 332 \n",
"Quarles, Kelcy Quarles, Kelcy DL 23.5 297 \n",
"Ramsey, Kaleb Ramsey, Kaleb DL 0.0 297 \n",
"Reid, Caraun Reid, Caraun DL 26.5 302 \n",
"Sam, Michael Sam, Michael DL 25.5 261 \n",
"Smith, Chris Smith, Chris DL 37.0 266 \n",
"Smith, Marcus Smith, Marcus DL 35.0 251 \n",
"Stephen, Shamar Stephen, Shamar DL 30.5 309 \n",
"Stinson, Edward Stinson, Edward DL 0.0 287 \n",
"Sutton, William Sutton, William DL 28.5 303 \n",
"Thomas, Robert Thomas, Robert DL 0.0 327 \n",
"Thornton, Khyri Thornton, Khyri DL 29.0 304 \n",
"Tuitt, Stephon Tuitt, Stephon DL 0.0 304 \n",
"Uko, George Uko, George DL 29.5 284 \n",
"Urban, Brent Urban, Brent DL 0.0 295 \n",
"Webster, Larry Webster, Larry DL 36.5 252 \n",
"Westbrooks, Ethan Westbrooks, Ethan DL 29.0 267 \n",
"Whaley, Christopher Whaley, Christopher DL 0.0 269 \n",
"Wynn, Kerry Wynn, Kerry DL 34.0 266 \n",
"\n",
"[56 rows x 17 columns]\n"
]
}
],
"prompt_number": 12
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Some data accessing functions for a panda dataframe\n",
"\n",
"These are just a few functions that show you how you can access the data once you have it in the dataframe. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"subtable = df.iloc[0:2, 0:2]\n",
"print \"subtable\"\n",
"print subtable\n",
"print \"\"\n",
"\n",
"df.head()\n",
"\n",
"column = df['VJ']\n",
"print \"column\"\n",
"print column\n",
"print \"\"\n",
"\n",
"row = df.ix[0] #row 0\n",
"print \"row\"\n",
"print row\n",
"print \"\"\n",
"\n",
"rows = df.ix[:2] #rows 0,1\n",
"print \"rows\"\n",
"print rows\n",
"print \"\"\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"subtable\n",
" 10(1) 10(2)\n",
"Bromley, Jason 1.72 1.79\n",
"Carrethers, Ryan 1.78 1.88\n",
"\n",
"[2 rows x 2 columns]\n",
"\n",
"column\n",
"Bromley, Jason 33.5\n",
"Carrethers, Ryan 26.0\n",
"Clarke, William 32.0\n",
"Clowney, Jadeveon 37.5\n",
"Coleman, Deandre 0.0\n",
"Crichton, Scott 31.5\n",
"Donald, Aaron 32.0\n",
"Ealy, Kony 31.0\n",
"Easley, Dominique 0.0\n",
"Edebali, Kasim 34.5\n",
"Ellis, Justin 28.0\n",
"Enemkpali, Ikemefuna 34.0\n",
"Ferguson, Ego 0.0\n",
"Ford, Donald 0.0\n",
"Gayle, Jadon 37.0\n",
"Hageman, Ra'shede 35.5\n",
"Hart, Taylor 0.0\n",
"Hyder, Kerry 29.5\n",
"Jeffcoat, Jackson 36.0\n",
"Jernigan, Timmy 29.5\n",
"Johnson, Anthony 24.5\n",
"Jones, Daquan 27.5\n",
"Jones, Howard 40.5\n",
"Kerr, Zachariah 28.5\n",
"Lawrence, Demarcus 34.5\n",
"Lynch, Aaron 0.0\n",
"Manumaleuna, Eathyn 28.0\n",
"Marsh, Cassius 32.0\n",
"Martin, Kareem 35.5\n",
"Mauro, Joshua 32.0\n",
"Mccullers, Daniel 20.5\n",
"Mims, Tevin 27.5\n",
"Moore, Zachary 33.5\n",
"Newsome, Jonathan 34.0\n",
"Nix, Louis 25.5\n",
"Pagan, Jeoffrey 0.0\n",
"Palepoi, Tenny 30.5\n",
"Pennel, Michael 28.5\n",
"Quarles, Kelcy 23.5\n",
"Ramsey, Kaleb 0.0\n",
"Reid, Caraun 26.5\n",
"Sam, Michael 25.5\n",
"Smith, Chris 37.0\n",
"Smith, Marcus 35.0\n",
"Stephen, Shamar 30.5\n",
"Stinson, Edward 0.0\n",
"Sutton, William 28.5\n",
"Thomas, Robert 0.0\n",
"Thornton, Khyri 29.0\n",
"Tuitt, Stephon 0.0\n",
"Uko, George 29.5\n",
"Urban, Brent 0.0\n",
"Webster, Larry 36.5\n",
"Westbrooks, Ethan 29.0\n",
"Whaley, Christopher 0.0\n",
"Wynn, Kerry 34.0\n",
"Name: VJ, Length: 56, dtype: float64\n",
"\n",
"row\n",
"10(1) 1.72\n",
"10(2) 1.79\n",
"20S n/a\n",
"225 26\n",
"3C 7.92\n",
"40(1) 4.93\n",
"40(2) 5.13\n",
"40(O) 5.06\n",
"ARMS 33 1/2\n",
"BJ 8.833333\n",
"COLLEGE Styracuse\n",
"HANDS 9 1/4\n",
"HGT 6031\n",
"PLAYER Bromley, Jason\n",
"POS DL\n",
"VJ 33.5\n",
"WGT 306\n",
"Name: Bromley, Jason, dtype: object\n",
"\n",
"rows\n",
" 10(1) 10(2) 20S 225 3C 40(1) 40(2) 40(O) ARMS \\\n",
"Bromley, Jason 1.72 1.79 n/a 26 7.92 4.93 5.13 5.06 33 1/2 \n",
"Carrethers, Ryan 1.78 1.88 n/a 32 7.89 5.44 5.5 5.47 31 3/4 \n",
"\n",
" BJ COLLEGE HANDS HGT PLAYER POS \\\n",
"Bromley, Jason 8.833333 Styracuse 9 1/4 6031 Bromley, Jason DL \n",
"Carrethers, Ryan 7.333333 Arkansas St. 9 3/8 6012 Carrethers, Ryan DL \n",
"\n",
" VJ WGT \n",
"Bromley, Jason 33.5 306 \n",
"Carrethers, Ryan 26.0 337 \n",
"\n",
"[2 rows x 17 columns]\n",
"\n"
]
}
],
"prompt_number": 13
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Viewing vertical jump\n",
"\n",
"Our first step is to start visualizing the data. In this case I'm just going to look a bar chart of the DL vertical jump results. We can quickly compare the different players. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# extract the vertical jump information from the dataframe. \n",
"\n",
"bar_width = 0.35\n",
"opacity = 0.4\n",
"\n",
"col = df[\"VJ\"]\n",
"\n",
"# generate the \n",
"pos = [i + .5 for i in arange(len(col))]\n",
"\n",
"# Here we set the width and height of the figure \n",
"fig = plt.figure(figsize=(4,10))\n",
"\n",
"# Add a subplot, 1 row, 1 col \n",
"ax = fig.add_subplot(111)\n",
"ax.set_title(\"Vertical jump\")\n",
"\n",
"ax.barh(pos, col.values, align='center', height=0.3)\n",
"ax.set_yticks(pos)\n",
"_ = ax.set_yticklabels(col.index, fontsize=\"small\")\n",
"\n",
"\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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ECRNo3rx5jvaTQVWS8kdePnsWdfc/KSkJrVaLVqvFxsZGWc84mtSNGzeUwUci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\nBbJVxwHU9YQAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0xd0624e0>"
]
}
],
"prompt_number": 14
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#Lets get a sense of weight adjusted vertical jump\n",
"Howard Jones sure looks good but when I dig a little deeper I see that he's only 235 lbs. I think we can agree that a 350 lb player with a 40\" vertical is a little more interesting than a 235 lb player. So lets look at a scatter plot of vertical jump versus weight. \n",
"\n",
"As you would expect we can see a downward sloping trend. In english, the heavier the player, the smaller the vertical jump. \n",
"\n",
"However its interesting to note the players that are above the trend. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#filter out the zero entries\n",
"mask = df['VJ'] > 0\n",
"subdf = df[mask]\n",
"\n",
"fig, ax = plt.subplots()\n",
"\n",
"\n",
"ax.scatter(subdf['WGT'], subdf['VJ'])\n",
"ax.set_xlabel('Weight')\n",
"ax.set_ylabel('Vertical Jump')\n",
"ax.annotate(\"Hageman\", xy=(310, 35.5), xytext=(330,40),arrowprops=dict(facecolor=\"black\",shrink=0.05))\n",
"\n",
"# plt.scatter(subdf['WGT'],subdf['VJ'])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 51,
"text": [
"<matplotlib.text.Annotation at 0x10469da0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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0ej2dOnUiPj6eSZMmsXDhQurVq0dGRgZw47xx/fr1De9LBZM+BFHDJScnk5aW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\nOr0QMgAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0xe9bfcf8>"
]
}
],
"prompt_number": 51
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Crunch data quickly\n",
"\n",
"One of my pet peeves is irrelevant groupings. Here's a description from [AdvancedNFLStats.com](http://www.advancednflstats.com/2013/08/how-to-lie-with-statistics.html)\n",
"\n",
">An irrelevant grouping is achieved by picking certain information, say: attempts, receptions and >percentage of team attempts. And then showing that by this cooked-up collection of data points, Shonn >Greene is analogous to Jim Brown. This often involves arbitrary end points.\n",
"\n",
"\n",
"As a starting point I start with largest possible set of data and then follow the data. Here's where the power of the computer really shines. Now that we've already built the machinery to parse the data lets add the data for defensive linemen from 2012 as well as the data for linebackers for 2013 and 2012 as well. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"website_html1 = requests.get(url1).text\n",
"website_html2 = requests.get(url2).text\n",
"website_html3 = requests.get(url3).text\n",
"\n",
"data_table_1 = get_html_table(website_html1)\n",
"data_table_2 = get_html_table(website_html2)\n",
"data_table_3 = get_html_table(website_html3)\n",
"\n",
"dict1 = get_data(data_table_1)\n",
"dict2 = get_data(data_table_2)\n",
"dict3 = get_data(data_table_3)\n",
"\n",
"df1 = pd.DataFrame.from_dict(dict1, orient='index')\n",
"df2 = pd.DataFrame.from_dict(dict2, orient='index')\n",
"df3 = pd.DataFrame.from_dict(dict3, orient='index')\n",
"\n",
"df_all = pd.concat([df,df1,df2,df3])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#Looking at a bigger universe of vertical jumps\n",
"\n",
"Let's run that plot again except this time we'll look at DL and LBs from 2013 and 2014. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# extract the vertical jump information from the dataframe. \n",
"\n",
"\n",
"df_VJ = df_all[df_all.VJ > 0] \n",
"\n",
"\n",
"df_VJ.sort([\"VJ\"], ascending=[1], inplace=True)\n",
"\n",
"bar_width = 0.35\n",
"opacity = 0.4\n",
"\n",
"\n",
"col = df_VJ[\"VJ\"]\n",
"\n",
"# generate the \n",
"pos = [i + .5 for i in arange(len(col))]\n",
" \n",
"# Here we set the width and height of the figure \n",
"fig = plt.figure(figsize=(4,40))\n",
"\n",
"# Add a subplot, 1 row, 1 col \n",
"ax = fig.add_subplot(111)\n",
"ax.set_title(\"Vertical jump\")\n",
"\n",
"ax.barh(pos, col.values, align='center', height=0.3)\n",
"ax.set_yticks(pos)\n",
"ax.xaxis.grid(True)\n",
"\n",
"_ = ax.set_yticklabels(col.index, fontsize=\"small\")\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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AWLhwIceOHePVV1/N9PyGDRvy5ZdfUq5cOVJSUrBarSxduhSr9Z/o+fDhw1SpUiXTa0WE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9w2zfz+w1CUso76qSplluJ8sYqi3DrFOfdsZvivKIpiC2hSVQCdC64atqdRVmuqmlQVRVFKEK2p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y2o+vj4MHfuXBo2bAhAxYoVeeaZZ/TtWQPTvessP0NDQ2nTpg0tWrSgSpUqVuve286UKVPY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\nXx9fX1+rMXf265iYGA4dOsS5c+e4evUqq1evzjP3314JW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bffcHd3Z9u2bfTr14+LFy/a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"text": [
"<matplotlib.figure.Figure at 0x10744080>"
]
}
],
"prompt_number": 17
}
],
"metadata": {}
}
]
}
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