def create_player_lists(teams, year):
'''
create_player_lists: Returns a dataframe with a column DND_IDS, which contains a list of player ids for inactive players.
Inactive players are defined as players who were listed as DND (did not dress) or NWT (not with team)
'''
df_bs = Loader.load_unsorted_boxscore(year)
# df_inactives = df_inactives[~np.isnan(df_inactives['Date'])]
# create dataframes with players who DND and NWT
df_dnd = df_bs[df_bs['COMMENT'].str.contains('DND', na=False)]
df_without_dnd = df_bs[~df_bs['COMMENT'].str.contains('DND', na=False)]
df_nwt = df_without_dnd[df_without_dnd['COMMENT'].str.contains(
'NWT', na=False)]
# populate list with all player IDs in boxscore
df_bs.apply((lambda row: teams[row['TEAM_ID']].player_list[row['Date']]
.append(row['PLAYER_ID'])),
axis=1)
# populate list with all player IDs who DND
df_dnd.apply((lambda row: teams[row['TEAM_ID']].inactive_list[row[
'Date']].append(row['PLAYER_ID'])),
axis=1)
# populate list with all player IDs who were NWT
df_nwt.apply((lambda row: teams[row['TEAM_ID']].inactive_list[row[
'Date']].append(row['PLAYER_ID'])),
axis=1)
def create_player_lists(teams, year):
'''
create_player_lists: Returns a dataframe with a column DND_IDS, which contains a list of player ids for inactive players.
Inactive players are defined as players who were listed as DND (did not dress) or NWT (not with team)
'''
df_bs = Loader.load_unsorted_boxscore(year)
# df_inactives = df_inactives[~np.isnan(df_inactives['Date'])]
# create dataframes with players who DND and NWT
df_dnd = df_bs[df_bs['COMMENT'].str.contains('DND', na=False)]
df_without_dnd = df_bs[~df_bs['COMMENT'].str.contains('DND', na=False)]
df_nwt = df_without_dnd[df_without_dnd['COMMENT'].str.contains('NWT', na=False)]
# populate list with all player IDs in boxscore
df_bs.apply((lambda row: teams[row['TEAM_ID']].player_list[row['Date']].append(row['PLAYER_ID'])), axis=1)
# populate list with all player IDs who DND
df_dnd.apply((lambda row: teams[row['TEAM_ID']].inactive_list[row['Date']].append(row['PLAYER_ID'])), axis=1)
# populate list with all player IDs who were NWT
df_nwt.apply((lambda row: teams[row['TEAM_ID']].inactive_list[row['Date']].append(row['PLAYER_ID'])), axis=1)
