pandas groupby sum
df.groupby(['Fruit','Name'])['Number'].sum()pandas groupby sum
df.groupby(['att1', 'att2']).agg({'att1': "count", 'att3': "sum",'att4': 'mean'})python groupby sum single columns
df.groupby(['A','C'], as_index=False)['B'].sum()sum group by pandas and create new column
df['new_column'] = df.groupby(['group_column'])['sum_column'].transform('sum')pandas sum group by
df.groupby(['Fiscal_Year','Billing_Group'])['CHARGE_AMT'].sum()Copyright © 2021 Codeinu
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