def winLoss(self, home):
'''Returns the current record of a team for a given game. W/L vals
are normalized to 1, so 1-0 has the same record as 2-0. This should
be changed in the future to better reflect a team's performance'''
if home:
team = self.home
else:
team = self.away
home_table = self.season[team]
home_table = TFns.get_previous_stats(home_table, self.week, 17)
if type(home_table) == type(None):
return {'wins': 0.0, 'losses': 0.0, 'streak': 0.0}
#home_counts = pd.Series.value_counts(home_table['score'] > home_table['opp_score'])
home_counts = Counter(home_table['score'] > home_table['opp_score'])
if len( home_counts.keys() ) == 1:
if home_counts.keys()[0]:
home_wins = 1
home_losses = 0
elif not home_counts.keys()[0]:
home_losses = 1
home_wins = 0
else:
home_wins = home_counts[True]
home_losses = home_counts[False]
normalize = float(home_wins + home_losses)
streak = self.getStreak(home_table)
return {'wins': home_wins / normalize, 'losses': home_losses / normalize, 'streak': streak }
def get_stats(self, n):
home_table = load.getTeamData(self.year, self.home)
away_table = load.getTeamData(self.year, self.away)
home_stats = TFns.get_previous_stats(home_table, self.week, n)
away_stats = TFns.get_previous_stats(away_table, self.week, n)
return {'home stats': home_stats, 'away stats': away_stats}
