Skip to content

Instantly share code, notes, and snippets.

@snippsat
Created January 17, 2019 08:51
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save snippsat/8508272b05282620acc7882ff699d0a5 to your computer and use it in GitHub Desktop.
Save snippsat/8508272b05282620acc7882ff699d0a5 to your computer and use it in GitHub Desktop.
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>date</th>\n",
" <th>day</th>\n",
" <th>week</th>\n",
" <th>season</th>\n",
" <th>team</th>\n",
" <th>o:team</th>\n",
" <th>site</th>\n",
" <th>points</th>\n",
" <th>o:points</th>\n",
" <th>line</th>\n",
" <th>total</th>\n",
" <th>OT</th>\n",
" <th>SUresult</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>20180909</td>\n",
" <td>Sunday</td>\n",
" <td>1</td>\n",
" <td>2018</td>\n",
" <td>Browns</td>\n",
" <td>Steelers</td>\n",
" <td>home</td>\n",
" <td>21</td>\n",
" <td>21</td>\n",
" <td>4.0</td>\n",
" <td>41.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>20180916</td>\n",
" <td>Sunday</td>\n",
" <td>2</td>\n",
" <td>2018</td>\n",
" <td>Browns</td>\n",
" <td>Saints</td>\n",
" <td>away</td>\n",
" <td>18</td>\n",
" <td>21</td>\n",
" <td>9.0</td>\n",
" <td>49.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>20180920</td>\n",
" <td>Thursday</td>\n",
" <td>3</td>\n",
" <td>2018</td>\n",
" <td>Browns</td>\n",
" <td>Jets</td>\n",
" <td>home</td>\n",
" <td>21</td>\n",
" <td>17</td>\n",
" <td>-3.0</td>\n",
" <td>39.5</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>20180930</td>\n",
" <td>Sunday</td>\n",
" <td>4</td>\n",
" <td>2018</td>\n",
" <td>Browns</td>\n",
" <td>Raiders</td>\n",
" <td>away</td>\n",
" <td>42</td>\n",
" <td>45</td>\n",
" <td>2.5</td>\n",
" <td>45.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>20181007</td>\n",
" <td>Sunday</td>\n",
" <td>5</td>\n",
" <td>2018</td>\n",
" <td>Browns</td>\n",
" <td>Ravens</td>\n",
" <td>home</td>\n",
" <td>12</td>\n",
" <td>9</td>\n",
" <td>2.5</td>\n",
" <td>45.5</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date day week season team o:team site points o:points \\\n",
"0 20180909 Sunday 1 2018 Browns Steelers home 21 21 \n",
"1 20180916 Sunday 2 2018 Browns Saints away 18 21 \n",
"2 20180920 Thursday 3 2018 Browns Jets home 21 17 \n",
"3 20180930 Sunday 4 2018 Browns Raiders away 42 45 \n",
"4 20181007 Sunday 5 2018 Browns Ravens home 12 9 \n",
"\n",
" line total OT SUresult \n",
"0 4.0 41.0 1 0 \n",
"1 9.0 49.0 0 0 \n",
"2 -3.0 39.5 0 1 \n",
"3 2.5 45.0 1 0 \n",
"4 2.5 45.5 1 1 "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import requests\n",
"import json\n",
"import pandas as pd\n",
" \n",
"url = \"http://api.sportsdatabase.com/nfl/query.json\"\n",
" \n",
"sdql = \"date,day,week,season,team,o:team,site,points,o:points,line,total,OT@\"\n",
"query = \"season = 2018 and team = Browns and week < 6\"\n",
"output = ''\"json\"''\n",
"api_key = ''\"guest\"''\n",
"string = sdql+query\n",
" \n",
"querystring = {\"sdql\":string,\"output\":output,\"api_key\":api_key}\n",
" \n",
"payload = \"\"\n",
" \n",
"headers = {'User-Agent': 'curl/7.58.0',\n",
" 'Accept': '*/*'}\n",
" \n",
"response = requests.request(\"GET\", url, data=payload, headers=headers, params=querystring)\n",
" \n",
"temp = response.text[14:-3].replace(\"\\t\", \"\")\n",
"temp = temp.replace(\"\\'\", \"\\\"\"\"\")\n",
" \n",
"data = json.loads(temp)\n",
" \n",
"d = data\n",
" \n",
"record = {}\n",
"for i in zip(d['headers'], d['groups'][0]['columns']):\n",
" record[i[0]] = i[1]\n",
" \n",
"d = record\n",
" \n",
"pd.set_option('display.max_columns', None)\n",
" \n",
"df = pd.DataFrame.from_dict(d)\n",
" \n",
"df['SUresult'] = df['points'] > df['o:points'] # Add Straight Up results Column and see if team Won SU\n",
"df['SUresult'] = df['SUresult'].astype(int) # Change the Dataframe boolan to interger 0 or 1\n",
"df"
]
}
],
"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": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment