$ pip install pbpstatsTo avoid repeating the same requests multiple times, and to allow for manually fixing issues with the raw play-by-play data I recommend setting up a data directory to save the response data. This will limit the number of requests you make to the NBA Stats API and allow you to manually fix issues with the raw data. Within this directory you will need to add four subdirectories(game_details, overrides, pbp and schedule). To use the directory, just include it in your settings when initializing the client like in the example below. This directory is also where override files to fix periods starters and handle issues with parsing pbp that can't be fixed by editing pbp file are placed.
If you want data with pbp event order fixed as well as overrides that are up to date as of this release you can download the files from here. Unzip it and use the unzipped directory as your data directory.
The data from both these sources is mostly the same but there are a few small differences. The data.nba.com play-by-play has the offense team id in all events, which makes it easier to track possession changes. The stats.nba.com events do not have this attribute and to get possession counts the play-by-play needs to be parsed, which makes it more sensitive to events being in the correct order. The stats.nba.com play-by-play also has lots of shots and rebounds that are out of order that need to be fixed manually. If you download the data from the link above, I have fixed these for previous seasons, but going forward if you use this you will have to keep up with fixing them manually yourself. If you don't care if there may be an occasional possession count being off or you don't want to deal with manually fixing the event order I suggest using data.nba.com for your play-by-play provider.
The stats.nba.com has more older season data available. So it should be used if you want to work with older data.
Another difference is that the data.nba.com play-by-play updates in real time, so if you are looking to do live stats during a game you can use it for that.
Within your settings that will be passed into the client when you instantiate it you can set the data directory and set the resources and data source you want.
Options for source are 'file' and 'web'. When source is 'file', it will pull data from the dir specified in the settings. When source is 'web' it will make an API request to get the data. If you want to save the response data to disk set dir within the settings and it will be saved in the appropriate subdirectory.
Options for data_provider are 'stats_nba' and 'data_nba'.
See the code examples below for some examples settings.
Resource options are:
- Boxscore - basic boxscore stats
- EnhancedPbp - more detail than the basic play-by-play
- Games - for getting all games for a season or date
- Pbp - raw play-by-play
- Possessions - splits enhanced pbp data up into possessions.
- Shots (stats.nba.com only)
The following code will instantiate the client and instantiate the Game data object for the given game id with boxscore and possession data.
from pbpstats.client import Client
settings = {
"dir": "/response_data",
"Boxscore": {"source": "file", "data_provider": "stats_nba"},
"Possessions": {"source": "file", "data_provider": "stats_nba"},
}
client = Client(settings)
game = client.Game("0021900001")Resource data can be accessed by calling game.<snake_case_resource_name>.items. In this case, since 'Boxscore' and 'Possessions' were provided in the settings dict boxscore and possessions data can be accessed via game.boxscore.items and game.possessions.items. See ~pbpstats.resources.possessions.possessions.Possessions for properties for working with possessions data. See ~pbpstats.resources.boxscore.boxscore.Boxscore for properties for working with boxscore data.
The following code can be used to get all final games for a season.
from pbpstats.client import Client
settings = {
"Games": {"source": "web", "data_provider": "data_nba"},
}
client = Client(settings)
season = client.Season("nba", "2019-20", "Regular Season")
for final_game in season.games.final_games:
print(final_game)The following code can be used to get all final games for a season. Note that for day, data_provider must be stats_nba
from pbpstats.client import Client
settings = {
"Games": {"source": "web", "data_provider": "stats_nba"},
}
client = Client(settings)
day = client.Day("12/05/2019", "nba")
for final_game in day.games.final_games:
print(final_game)The following code will get all possessions that start off a missed field goal.
off_rim_miss = [possession for possession in game.possessions.items if possession.possession_start_type == "OffAtRimMiss"]For more on what is available for possession data see ~pbpstats.resources.possessions.possession.Possession docs
The following code will get the average 2pt shot distance on all missed field goals.
from pbpstats.resources.enhanced_pbp import FieldGoal
...
shot_dists = []
for possession in game.possessions.items:
for possession_event in possession.events:
if isinstance(possession_event, FieldGoal) and not possession_event.is_made and possession_event.shot_value == 2:
shot_dists.append(possession_event.distance)
print(sum(shot_dists) / len(shot_dists))For more on what is available for enhanced pbp data see pbpstats.resources.enhanced_pbp docs
Player and team Ids the same player and team ids used by stats.nba.com. Lineup ids are '-' separated player ids (with player ids sorted as strings).
If you need to fix event order in the play-by-play file you will need to open the pbp file for the game in your data directory and change the order of the events list. Each event is a list and searching for the event number (the event number should be in the exception text somewhere) to find the event is a good place to start to figure out which event needs to be moved around.