![]() EndpointsĪ significant purpose of this package is to continuously map and analyze as many endpoints on NBA.com as possible. See Contributing to the NBA_API for complete details. Join Slack to get help, help others, provide feedback, see amazing projects, participates in discussions, and collaborate with others from around the world. Practical examples in Jupyter Notebook format, including making basic calls, finding games, working with play-by-play data, and interacting with live game data.Reduce HTTP requests for common and frequently accessed player and team data.Proxy Support, Custom Headers, and Timeout Settings.get_dict () NBA Live Data from nba_ import scoreboard # Today's Score Board games = scoreboard. PlayerCareerStats ( player_id = '203999' ) # pandas data frames (optional: pip install pandas) career. NBA Official Stats from nba_ import playercareerstats # Nikola Jokić career = playercareerstats. While panadas is not required, it is required to work with Pandas DataFrames. ![]() Nba_api requires Python 3.7+ along with the requests and numpy packages. ![]() Nba_api is an API Client for This package intends to make the APIs of NBA.com easily accessible and provide extensive documentation about them. Nba_api An API Client Package to Access the APIs of NBA.com ![]()
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