def save_sbr_odds_info(sport, game_day, dataframe): """ Save odds data from the game day to a file :param str sport: sport odds are from :param datetime.datetime game_day: day these odds are from :param pandas.DataFrame dataframe: dataframe of odds :return: """ combine_dataframe_into_pickle_file(dataframe, get_gameday_filename(sport, game_day))
def save_rg_salary_info(sport, game_day, dataframe): """ Save salary and position data from the game day to a file :param str sport: sport salaries are from :param datetime.datetime game_day: day these salaries are from :param pandas.DataFrame dataframe: dataframe of salaries :return: """ combine_dataframe_into_pickle_file(dataframe, get_gameday_filename(sport, game_day))
def save_sbr_odds_info(sport, game_day, dataframe):
"""
Save odds data from the game day to a file
:param str sport: sport odds are from
:param datetime.datetime game_day: day these odds are from
:param pandas.DataFrame dataframe: dataframe of odds
:return:
"""
combine_dataframe_into_pickle_file(dataframe,
get_gameday_filename(sport, game_day))
def save_nf_salary_info(sport, salary_dict):
"""
Save salary data
:param dict[str, DataFrame] player_dict: the dict of player name -> numberfire prediction dataframe
:return:
"""
saved_dataframes = 0
for player, df in salary_dict.iteritems():
target_file = get_salary_filename(sport, player)
combine_dataframe_into_pickle_file(df, target_file)
saved_dataframes += 1
print 'Saved %d dataframes of player salaries' % saved_dataframes
def save_nf_histplayerinfo(sport, identifier_dict):
"""
Save the pandas dataframes (numberfire prediction logs) from each player in the dict to a file.
For MLB the keys in the dict are bref id's. See load_nf_histplayerinfo
:param dict[str, DataFrame] identifier_dict: the dict of player name -> numberfire prediction dataframe
:return:
"""
saved_dataframes = 0
for identifier, df in identifier_dict.iteritems():
target_file = get_histplayerinfo_filename(sport, identifier)
combine_dataframe_into_pickle_file(df, target_file)
saved_dataframes += 1
print 'Saved %d dataframes of predictions' % saved_dataframes
def save_dataframes(players, overwrite=False):
"""
Save the pandas dataframes (the gamelog_data) from each player in players to a file
:param dict[str, dict] players: the player dict
:return:
"""
saved_dataframes = 0
for bref_id, attrs in players.iteritems():
if 'gamelog_data' in attrs:
target_file = get_player_filename(bref_id)
combine_dataframe_into_pickle_file(attrs['gamelog_data'], target_file, overwrite=overwrite)
saved_dataframes += 1
logging.debug('Saved %d dataframes to %s', saved_dataframes, datadir)
def save_dataframes(players, overwrite=False):
"""
Save the pandas dataframes (the gamelog_data) from each player in players to a file
:param dict[str, dict] players: the player dict
:param bool overwrite: if True, delete old data
:return:
"""
saved_dataframes = 0
for bref_id, attrs in players.iteritems():
for data_type in player_data_types:
if data_type in attrs and attrs[data_type] is not None:
combine_dataframe_into_pickle_file(attrs[data_type], get_attr_filename(bref_id, data_type), overwrite=overwrite)
saved_dataframes += 1
logging.debug('Saved %d dataframes to %s', saved_dataframes, datadir)
def save_dataframes(players, overwrite=False):
"""
Save the pandas dataframes (the gamelog_data) from each player in players to a file
:param dict[str, dict] players: the player dict
:return:
"""
saved_dataframes = 0
for bref_id, attrs in players.iteritems():
if 'gamelog_data' in attrs:
target_file = get_player_filename(bref_id)
combine_dataframe_into_pickle_file(attrs['gamelog_data'],
target_file,
overwrite=overwrite)
saved_dataframes += 1
logging.debug('Saved %d dataframes to %s', saved_dataframes, datadir)
def save_dataframes(players, overwrite=False):
"""
Save the pandas dataframes (the gamelog_data) from each player in players to a file
:param dict[str, dict] players: the player dict
:param bool overwrite: if True, delete old data
:return:
"""
saved_dataframes = 0
for bref_id, attrs in players.iteritems():
for data_type in player_data_types:
if data_type in attrs and attrs[data_type] is not None:
combine_dataframe_into_pickle_file(attrs[data_type],
get_attr_filename(
bref_id, data_type),
overwrite=overwrite)
saved_dataframes += 1
logging.debug('Saved %d dataframes to %s', saved_dataframes, datadir)