This package is used to obtain Pro Football Reference and Basketball Reference using web scraping tables, for example to perform data analysis or data science. All rights belong to the respective sites and the package should not be used to load their servers. Please read the corresponding specifications in their robots.txt files.
pip install pylonparserUsage Provide instructions on how to use your project. Include code examples if possible.
url = "https://www.basketball-reference.com/boxscores/202405220MIN.html"
basketball_match = BasketballMatch(url)
df = pd.DataFrame(basketball_match.basic_away)
print(df.head())
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id player mp fg fga fg_pct fg3 fg3a fg3_pct ft fta ft_pct orb drb trb ast stl blk tov pf pts plus_minus reason
0 washipj01 P.J. Washington 40:50 4.0 10.0 0.400 2.0 8.0 0.25 3.0 3.0 1.000 0.0 7.0 7.0 0.0 0.0 2.0 3.0 4.0 13.0 +12 NaN
1 doncilu01 Luka Dončić 40:45 12.0 26.0 0.462 3.0 10.0 0.30 6.0 7.0 0.857 0.0 6.0 6.0 8.0 3.0 1.0 4.0 2.0 33.0 -9 NaN
2 irvinky01 Kyrie Irving 40:09 12.0 23.0 0.522 0.0 3.0 0.00 6.0 6.0 1.000 1.0 4.0 5.0 4.0 0.0 1.0 2.0 3.0 30.0 +5 NaN
3 jonesde02 Derrick Jones Jr. 34:55 4.0 9.0 0.444 0.0 2.0 0.00 0.0 0.0 0.000 2.0 2.0 4.0 2.0 0.0 0.0 0.0 1.0 8.0 -8 NaN
4 gaffoda01 Daniel Gafford 21:07 5.0 9.0 0.556 0.0 0.0 0.00 0.0 0.0 0.000 4.0 5.0 9.0 0.0 0.0 1.0 2.0 2.0 10.0 -15 NaN
Testing This project uses pytest for testing. To run the tests, use:
Contributing Contributions are welcome! Please read the contributing guidelines first.
License This project is licensed under the MIT License. See the LICENSE file for details.