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Pandas sum group by

Pandas groupby sum

df.groupby(['Fruit','Name'])['Number'].sum()

4

Sum group by pandas and create new column

df['new_column'] = df.groupby(['group_column'])['sum_column'].transform('sum')

0

Source: stackoverflow.com

Pandas sum group by

df.groupby(['Fiscal_Year','Billing_Group'])['CHARGE_AMT'].sum()

-1

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