count rows and sum in groupby pandas code example

Example 1: 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

Example 2: python aggregate count and sum

df.groupby('Company Name').agg(MySum=('Amount', 'sum'), MyCount=('Amount', 'count'))