def test_statistics(self):
self.assertDictEqual(
bc.helper.group.statistics(self.random_int_list,
summary='default'),
{
'mean': mean(self.random_int_list, winsorize=False),
'std': std(self.random_int_list, winsorize=False),
})
def mean_std(key):
return {
'mean':
mean([getattr(s, key) for s in self.sum_stats_list],
winsorize=False),
'std':
std([getattr(s, key) for s in self.sum_stats_list],
winsorize=False),
}
self.assertDictEqual(
bc.helper.group.statistics(self.sum_stats_list,
summary='extended'), {
'kurtosis': mean_std('kurtosis'),
'mean': mean_std('mean'),
'median': mean_std('median'),
'skewness': mean_std('skewness'),
'std': mean_std('std'),
'min': mean_std('min'),
'max': mean_std('max')
})
self.assertEqual(bc.helper.group.statistics([]).values(), [None] * 2)
def _default_stats(agg):
if agg is None or len(agg) == 0:
return {'mean': None, 'std': None}
else:
# Some functions may return None values
# It's better to filter them
agg = filter(lambda x: x is not None, agg)
return {'mean': mean(agg), 'std': std(agg)}
def _default_stats(agg):
if agg is None or len(agg) == 0:
return {'mean': None, 'std': None}
else:
# Some functions may return None values
# It's better to filter them
agg = filter(lambda x: x is not None, agg)
return {'mean': mean(agg), 'std': std(agg)}
def mean_std(key):
return {
'mean':
mean([getattr(s, key) for s in self.sum_stats_list],
winsorize=False),
'std':
std([getattr(s, key) for s in self.sum_stats_list],
winsorize=False),
}
def test_statistics(self):
self.assertDictEqual(bc.helper.group.statistics(self.random_int_list, summary='default'), {
'mean': mean(self.random_int_list),
'std': std(self.random_int_list),
})
def mean_std(key):
return {
'mean': mean([getattr(s, key) for s in self.sum_stats_list]),
'std': std([getattr(s, key) for s in self.sum_stats_list]),
}
self.assertDictEqual(bc.helper.group.statistics(self.sum_stats_list, summary='extended'), {
'kurtosis': mean_std('kurtosis'),
'mean': mean_std('mean'),
'median': mean_std('median'),
'skewness': mean_std('skewness'),
'std': mean_std('std'),
'min': mean_std('min'),
'max': mean_std('max')
})
self.assertEqual(bc.helper.group.statistics([]).values(), [None] * 2)
def mean_std(key):
return {
'mean': mean([getattr(s, key) for s in self.sum_stats_list]),
'std': std([getattr(s, key) for s in self.sum_stats_list]),
}
