def vector_stats(data, group=False):
stats = pd.DataFrame()
stats['name'] = data.name
stats['run'] = data.run
stats['mean'] = data.value.apply(lambda x: x.mean())
stats['max'] = data.value.apply(lambda x: x.max())
stats['min'] = data.value.apply(lambda x: x.min())
stats['std'] = data.value.apply(lambda x: x.std())
stats['count'] = data.value.apply(lambda x: x.size)
return stats.groupby(['name']).mean().drop('run',
axis=1) if group else stats
def merge_dates(stats):
pat = '(^\d+\-\d+\-\d+)'
extracted = stats.columns.str.extract(pat, expand=False)
grouped = stats.groupby(extracted, axis=1).sum()
return grouped
def merge_excercises(stats):
pat = '(^student$|\d+$)'
extracted = stats.columns.str.extract(pat, expand=False)
grouped = stats.groupby(extracted, axis=1).sum()
grouped = grouped.groupby(['student'], axis=0).sum()
return grouped
def merge_excercises(stats):
pat = '(\d+$)'
extracted = stats.columns.str.extract(pat, expand=False)
grouped = stats.groupby(extracted, axis=1).sum()
return grouped