sportsdataverse python package

sportsdataverse-py

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See CHANGELOG.md for details.

The goal of sportsdataverse-py is to provide the community with a python package for working with sports data as a companion to the cfbfastR, hoopR, and wehoop R packages. Beyond data aggregation and tidying ease, one of the multitude of services that sportsdataverse-py provides is for benchmarking open-source expected points and win probability metrics for American Football.

Installation

sportsdataverse-py can be installed via pip:

pip install sportsdataverse

or from the repo (which may at times be more up to date):

git clone https://github.com/saiemgilani/sportsdataverse-py
cd sportsdataverse-py
pip install -e .

Our Authors

Citations

To cite the sportsdataverse-py Python package in publications, use:

BibTex Citation

@misc{gilani_sdvpy_2021,
  author = {Gilani, Saiem},
  title = {sportsdataverse-py: The SportsDataverse's Python Package for Sports Data.},
  url = {https://sportsdataverse-py.sportsdataverse.org},
  season = {2021}
}
Owner
Saiem Gilani
Sports Analytics, healthcare and interesting problems
Saiem Gilani
Comments
  • Cannot pull 2021 data from load_cfb_pbp

    Cannot pull 2021 data from load_cfb_pbp

    Trying to access pbp data for the 2021 season leads to a HTTPError. Is there any way to make sure the data is up-to-date? I would love to be able to utilize this package during the season as well. Thank you!

  • ncaa march madness tournament scores not pulling

    ncaa march madness tournament scores not pulling

    First of all, this is an amazing package, and thank you for all of your hard work. It seems that the NCAA tournament games are missing from the schedule, play by play, and team boxscores.

    Screen Shot 2022-03-08 at 11 04 57 AM

    At some point, I can try my hand at a pull request, but I thought I'd open an issue first.

  • Sg/nfl loaders

    Sg/nfl loaders

  • Armstjc/add retrosheet Release Candidate 2

    Armstjc/add retrosheet Release Candidate 2

    • Adds Retrosheet data functionality to the sportsdataverse-py Python package.
    • Adds Retrosplits data functionality to the sportsdataverse-py Python package.
    • Cleaned up pre-existing code for MLBAM functions in sportsdataverse-py.
    • Updated docs to add references to the new, MLB-related functions.
  • 29 example sdvcfbcfb teams call results in error

    29 example sdvcfbcfb teams call results in error

    An edge case issue was identified within the sportsdataverse.cfb.cfb_teams() function, where python would throw a'module' object is not callable error for the user.

    A solution to fix this issue, involves renaming the function to sportsdataverse.cfb.get_cfb_teams(), to avoid this specific error to happen.

  • Example sdv.cfb.cfb_teams() call results in error

    Example sdv.cfb.cfb_teams() call results in error

    https://py.sportsdataverse.org/docs/cfb/

    Example:

    import sportsdataverse as sdv
    cfb_df = sportsdataverse.cfb.cfb_teams()
    
    >> 
    ---------------------------------------------------------------------------
    TypeError                                 Traceback (most recent call last)
    Input In [12], in <cell line: 1>()
    ----> 1 sdv.cfb.cfb_teams()
    
    TypeError: 'module' object is not callable
  • armstjc/fix-retrosheet-bugs RC 4

    armstjc/fix-retrosheet-bugs RC 4

    • Fixed a glitch in multiple Retrosheet functions where the 1st row would be cut off.

    • Added failsafe conditions for Retrosheet and Retrosplits functions where the season inputted was equal to the current year, but Retrosheet and/or Retrosplits doesn't have a file currently for that season.

    • Re-wrote parts of the Retrosheet and Retrosplits functions to operate faster.

    • Bumped up version to 0.0.27

  • Cannot pull pbp data for Washington Football Team post 2018

    Cannot pull pbp data for Washington Football Team post 2018

    Since there is no mascot for the Washington Football Team post 2018, its produces the following key error:

    KeyError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_17088/3575107685.py in ----> 1 nfl = sportsdataverse.nfl.NFLPlayProcess("401326425").espn_nfl_pbp()

    ~\Anaconda3\lib\site-packages\sportsdataverse\nfl\nfl_pbp.py in espn_nfl_pbp(self) 112 ) 113 awayTeamMascot = str( --> 114 pbp_txt["header"]["competitions"][0]["competitors"][1]["team"]["name"] 115 ) 116 homeTeamName = str(

    KeyError: 'name'

  • Assists recorded in boxscores missing in play-by-play

    Assists recorded in boxscores missing in play-by-play

    For the December 22, 2021, game between Wyoming and Stanford (game Id: 401372551), the sportsdataverse.mbb.load_mbb_player_boxscore(seasons=[2022]) data for this game records Hunter Maldonado (player Id: 4280267) of Wyoming as getting 8 assists. However, when going through the rows for this game from sportsdataverse.mbb.load_mbb_pbp(seasons=[2022]), Maldonado would only be credited with 6 assists, based upon the number of occurrences of "Assisted by Hunter Maldonado" in the text column, as well as the number of times his Id appears in the participants_1_athlete_id column. In particular, he should have been credited with assists on jumpers from Graham Ike with 17:16 remaining in the 1st half and 1:15 remaining in the 2nd half. Overall, Maldonado only gets credited with 190 assists in the pbp file, but he should have 197 assists for the season so far (following Wyoming's win over UNLV in the MWC conference tournament, their last game in the dataset).

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