io.py 文件源码

def load_nf_salaryinfo(sport, players):
  """
  Load previously saved dataframes of numberfire salary data
  :param list[str] players: players to load
  :return dict[str, DataFrame]: dict of player -> salary data for player
  """
  loaded = 0
  player_dict = {}
  for player in players:
    target_file = get_salary_filename(sport, player)
    if os.path.exists(target_file):
      player_dict[player] = pandas.read_pickle(target_file)
      # Attempt to convert the index to time based if possible
      if player_dict[player] is not None and 'date' in player_dict[player].columns:
        player_dict[player].set_index('date', inplace=True)
      loaded += 1
  return player_dict