Two groupby pandas

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)

Source: jamesrledoux.com

Two groupby pandas

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

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

Source: pandas.pydata.org

Similar codes

19 votes182 views1 answer
10 minute timer
Python
2 votes186 views1 answer
Python argparser flags
Python
24 votes203 views6 answers
Display all rows pandas
Python
2 votes189 views1 answer
Python default input
Python
-1 vote196 views1 answer
Python design patterns
Python
0 vote178 views1 answer
Heapsort python
Python
0 vote181 views1 answer
From string to flaot python numpy
Python
7 votes179 views2 answers
Python numpy matrix to list
Python
0 vote155 views0 answer
Python
0 vote191 views1 answer
Jupyter notebook print all rows dataframe
Python