Answers for "pandas group by sum and count"

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                   5

python 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()