pandas groupby sum
df.groupby(['Fruit','Name'])['Number'].sum()python aggregate count and sum
In [110]: (df.groupby('Company Name')
.....: .agg({'Organisation Name':'count', 'Amount': 'sum'})
.....: .reset_index()
.....: .rename(columns={'Organisation Name':'Organisation Count'})
.....: )
Out[110]:
Company Name Amount Organisation Count
0 Vifor Pharma UK Ltd 4207.93 5python aggregate count and sum
df.groupby('Company Name').agg(MySum=('Amount', 'sum'), MyCount=('Amount', 'count'))pandas sum group by
df.groupby(['Fiscal_Year','Billing_Group'])['CHARGE_AMT'].sum()Copyright © 2021 Codeinu
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