def test_statistics(self):
rv = bc.helper.group.statistics(self.random_int_list,
summary='default')
self.assertDictEqual(rv, {
'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]),
}
rv = bc.helper.group.statistics(self.sum_stats_list,
summary='extended')
self.assertDictEqual(
rv, {
'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')
})
rv = bc.helper.group.statistics([]).values()
self.assertEqual(list(rv), [None] * 2)
def test_statistics(self):
rv = bc.helper.group.statistics(self.random_int_list, summary='default')
self.assertDictEqual(rv, {
'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]),
}
rv = bc.helper.group.statistics(self.sum_stats_list, summary='extended')
self.assertDictEqual(rv, {
'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')
})
rv = bc.helper.group.statistics([]).values()
self.assertEqual(list(rv), [None] * 2)
def _default_stats(agg):
if agg is None or len(agg) == 0:
return OrderedDict([('mean', None), ('std', None)])
else:
# Some functions may return None values
# It's better to filter them
agg = [x for x in agg if x is not None]
return OrderedDict([('mean', mean(agg)), ('std', std(agg))])
def _default_stats(agg):
if agg is None or len(agg) == 0:
return OrderedDict([('mean', None), ('std', None)])
else:
# Some functions may return None values
# It's better to filter them
agg = [x for x in agg if x is not None]
return OrderedDict([('mean', mean(agg)), ('std', std(agg))])
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]),
}
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]),
}