python group by multiple aggregates
def f(x):
d = {}
d['a_sum'] = x['a'].sum()
d['a_max'] = x['a'].max()
d['b_mean'] = x['b'].mean()
d['c_d_prodsum'] = (x['c'] * x['d']).sum()
return pd.Series(d, index=['a_sum', 'a_max', 'b_mean', 'c_d_prodsum'])
df.groupby('group').apply(f)group by, aggregate multiple column -pandas
df[['col1', 'col2', 'col3', 'col4']].groupby(['col1', 'col2']).agg(['mean', 'count'])Copyright © 2021 Codeinu
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