panda dataframe groupby multiple column code example

Example 1: dataframe groupby multiple columns

grouped_multiple = df.groupby(['Team', 'Pos']).agg({'Age': ['mean', 'min', 'max']})
grouped_multiple.columns = ['age_mean', 'age_min', 'age_max']
grouped_multiple = grouped_multiple.reset_index()
print(grouped_multiple)

Example 2: two groupby pandas

In [8]: grouped = df.groupby('A')

In [9]: grouped = df.groupby(['A', 'B'])