def demo_score_comparison(testsource='espn', trialsource='cbs'):
dftest = ffldata.load_prediction_data(source=testsource)
dftrial = ffldata.load_prediction_data(source=trialsource)
dftrialpred = score_comparison(dftest, dftrial)
m = pd.merge(
dftrialpred, dftest, how='left', on='playername',
suffixes=('_{}'.format(src) for src in [testsource, trialsource])
)
return m
def __init__(self, teamYaml=SASNUT):
# loading team info
self.teamYaml = teamYaml
self._teamdict = None
self._leagueteams = None
self.drafthistory = []
self.data = ffldata.load_prediction_data(source='espn')
self.update_replacement_value()
