NBA API: Looping a dictionary to get data frames

Question

I am trying to get a full database of all active players career stats in the NBA.

I'm relatively new to Python and am trying to figure out a way to iterate a loop function by looking up the playerID for each PlayerCareerStat data frame. Ultimately I will summarize and group the data so its easier to read but I am trying to return a list of all players career stats by season.

I am able to use the players.get_active_players() endpoint to return a list of all players with their player_id: [1]: https://i.sstatic.net/BFxgv.png

With that, I am tryin to loop the Player_id through each data frame in the PlayerCareerStats() endpoint ... I think? Since the parameter for this endpoint requires a single player_id I can't seem to get all the players. Please see picture [1]: https://i.sstatic.net/skM8Y.png

Does anyone know how I might be able to get the output I am trying to find?

Answer 1

When you create a function, it will end when it reaches return. So your function returns the player id, and doesn't move on to the part where you are trying to pull the career stats.

So get rid of that return player['id'], and the function should run all the way through:

from nba_api.stats.static import players
from nba_api.stats.endpoints import playercareerstats
import pandas as pd


def get_nba_id():
    nba_players = players.get_active_players()
    
    for player in nba_players:
        career_stats = playercareerstats.PlayerCareerStats(player_id=player['id'])
        career_df = career_stats.get_data_frames()[0]
        career_df['NAME'] = player['full_name']
        print(career_df)