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)pandas group by multiple columns and count
df.groupby(['col1', 'col2']).size()
.sort_values(ascending=False)
.reset_index(name='count')Copyright © 2021 Codeinu
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