Quinn Cook messing up my code?

[raiavincent]

Hi,

So what I am trying to do is create a dataset of NBA players and their stats. The code works fine until it gets to Quinn Cook.

The code returns "TypeError: 'NoneType' object is not iterable" as it runs through LAL. When I go to the Lakers sports ref page, Cook is double entered AND his page doesn't load. Is there anything I can do to fix this or do I pretty much have to wait?

Here is the code:

`from sportsreference.nba.teams import Teams
from sportsreference.nba.schedule import Schedule
from sportsreference.nba.boxscore import Boxscores
from sportsreference.nba.roster import Player
from sportsreference.nba.roster import Roster
import pandas as pd
from datetime import datetime

# Function to get player info from Player class object.
def get_player_df(player):

    # helper function to get year for each row and denote
    # rows that contain career totals.
    def get_year(ix):
        if ix[0] == "Career":
            return "Career"
        elif ix[0] == "1999-00":
            return "2000"
        else:
            return ix[0][0:2] + ix[0][-2:]

    # get player df and add some extra info
    player_df = player.dataframe
    player_df['birth_date'] = player.birth_date
    player_df['player_id'] = player.player_id
    player_df['name'] = player.name
    player_df['year'] = [get_year(ix) for ix in player_df.index]
    player_df['id'] = [player_id + ' ' + year for player_id,
                       year in zip(player_df['player_id'],
                       player_df['year'])]
    player_df.set_index('id', drop = True, inplace = True)

    return player_df

# initialize a list of players that we have pulled data for
players_collected = []
season_df_init = 0
career_df_init = 0
season_df = 0
career_df = 0
# iterate through years.
for year in range(2021, 1999, -1):
    print('\n' + str(year))

    # iterate through all teams in that year.
    for team in Teams(year = str(year)).dataframes.index:
        print('\n' + team + '\n')

        # iterate through every player on a team roster.
        for player_id in Roster(team, year = year,
                         slim = True).players.keys():

            # only pull player info if that player hasn't
            # been pulled already.
            if player_id not in players_collected:

                player = Player(player_id)
                player_info = get_player_df(player)
                player_seasons = player_info[
                                 player_info['year'] != "Career"]
                player_career = player_info[
                                player_info['year'] == "Career"]

                # create season_df if not initialized
                if not season_df_init:
                    season_df = player_seasons
                    season_df_init = 1

                # else concatenate to season_df
                else:
                    season_df = pd.concat([season_df,
                                   player_seasons], axis = 0)

                if not career_df_init:
                    career_df = player_career
                    career_df_init = 1

                # else concatenate to career_df
                else:
                    career_df = pd.concat([career_df,
                                   player_career], axis = 0)

                # add player to players_collected
                players_collected.append(player_id)
                print(player.name)`

[raiavincent]

I guess really the best way to get around this is to have an exception raised and it skips that player. Is there any way to do that, where maybe it also lists out those players? I am getting a similar error trying to do this for the NHL, but that player (Daniel Vladar) does have a page.

[raiavincent]

Reached out directly to sports ref and they stated they will get Quinn Cook fixed.