group by many columns pandas 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: python - gropuby based on 2 variabels
df.groupby(['col5', 'col2']).size()