尝试这个：
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 Count0 Vifor Pharma UK Ltd 4207.93 5或者如果您不想重置索引：
df.groupby('Company Name')['Amount'].agg(['sum','count'])要么
df.groupby('Company Name').agg({'Amount': ['sum','count']})演示：
In [98]: df.groupby('Company Name')['Amount'].agg(['sum','count'])Out[98]: sum countCompany NameVifor Pharma UK Ltd 4207.93 5In [99]: df.groupby('Company Name').agg({'Amount': ['sum','count']})Out[99]:Amount sum countCompany NameVifor Pharma UK Ltd 4207.93 5
