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playerdata.py
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playerdata.py
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import pandas as pd
class PlayerData:
"""
PlayerData tracks the name, class, and alias of a list of players.
"""
def __init__(self, path):
"""
Read a player config file into a pandas data frame with columns name, class, alias.
The config file should be in CSV format with the values name, class, alias.
:param path: path to the config CSV file
:return: A data frame with columns name, class, alias
"""
headers = ['name', 'class', 'alias']
stripping_sep = ' *, *'
data = pd.read_csv(path, names=headers, sep=stripping_sep, engine='python')
# clean up - remove NaN and duplicate rows, set NaN aliases to name, all other NaNs to UNKNOWN
data.drop_duplicates(inplace=True)
data.dropna(how='all', inplace=True)
data.loc[data['alias'].isnull(), 'alias'] = data.loc[data['alias'].isnull(), 'name']
data.fillna('UNKNOWN', inplace=True)
self.data = data
def is_player(self, player):
return player in self.data['name'].unique()
def get_data(self):
"""
Retrieves the data frame managed by a PlayerData object.
:return: a data frame containing the name, class, and alias of all players read in from file
"""
return self.data
def _get_player_attribute(self, player, attribute):
if not self.is_player(player):
return 'unknown'
player_idx = self.data.index[self.data['name'] == player].values[0]
return self.data.at[player_idx, attribute]
def get_player_class(self, player):
return self._get_player_attribute(player, 'class')
def get_player_alias(self, player):
return self._get_player_attribute(player, 'alias')