NBA_Tutorials
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rd11490
Tutorials for processing nba data
`73 periods = players_subbed_in_at_each_period['PERIOD'].drop_duplicates().values.tolist()` Sometimes the game has no substitutions, which may miss the period. `periods = play_by_play['PERIOD'].drop_duplicates().values.tolist()` This avoids the problem.
Thanks for your work, I can try to calculate rapm, but I still don't understand how to calculate the lucky adjusted rapm, I understand the basic principle, but how to...
I am looking at the later tutorial based around analyzing the play by play data which redirects me to this page to create a play-by-play scraper. But, this one seems...
In rapm_possessions.csv, there are at least 46 rows where Hassan Whiteside (playerid 202355) is listed in two different columns. For example, row 60919 has this property. It looks like they're...
Original code had issue when no subs were made in a period it would not find the starters for that period. This one-line change fixes the issue
I noticed that sometimes the play-by-play csv files have revisions when an event was forgotten and it was added at a later time. This means the event has a higher...