Schedule¶
DataNbaScheduleLoader
loads schedule data for a season and
creates DataNbaGameItem
objects for each game
The following code will load schedule data for 2019-20 NBA Regular Season
from pbpstats.data_loader import DataNbaScheduleFileLoader, DataNbaScheduleLoader
source_loader = DataNbaScheduleFileLoader("/data")
schedule_loader = DataNbaScheduleLoader("nba", "2019-20", "Regular Season", source_loader)
print(schedule_loader.items[0].data) # prints dict with the first game of the season
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class
pbpstats.data_loader.data_nba.schedule.loader.
DataNbaScheduleLoader
(league, season, season_type, source_loader)[source]¶ Bases:
pbpstats.data_loader.data_nba.base.DataNbaLoaderBase
Loads data.nba.com source schedule data for season. Games are stored in items attribute as
DataNbaGameItem
objectsParameters: - league (str) – Options are ‘nba’, ‘wnba’ or ‘gleague’
- season (str) – Can be formatted as either 2019-20 or 2019.
- season_type (str) – Options are ‘Regular Season’ or ‘Playoffs’ or ‘Play In’
- source_loader –
DataNbaScheduleFileLoader
orDataNbaScheduleWebLoader
object
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data
¶ returns raw JSON response data
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data_provider
= 'data_nba'¶
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parent_object
= 'Season'¶
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resource
= 'Games'¶
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class
pbpstats.data_loader.data_nba.schedule.file.
DataNbaScheduleFileLoader
(file_directory=None)[source]¶ Bases:
pbpstats.data_loader.data_nba.file_loader.DataNbaFileLoader
A
DataNbaScheduleFileLoader
object should be instantiated and passed intoDataNbaScheduleLoader
when loading data from fileParameters: file_directory (str) – Directory in which data should be loaded from. The specific file location will be data_<league>_<season_year>.json in the /schedule subdirectory.
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class
pbpstats.data_loader.data_nba.schedule.web.
DataNbaScheduleWebLoader
(file_directory=None)[source]¶ Bases:
pbpstats.data_loader.data_nba.web_loader.DataNbaWebLoader
ADataNbaScheduleWebLoader
object should be instantiated and passed intoDataNbaSchedulLoader
when loading data directly from the NBA Stats APIParameters: file_directory (str) – (optional, use it if you want to store the response data on disk) Directory in which data should be either stored. The specific file location will be data_<league>_<season_year>.json in the /schedule subdirectory. If not provided response data will not be saved on disk. -
league_id
¶ Returns League Id for league.
00 for nba, 10 for wnba, 20 for g-league
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