Group by 2 columns 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

Group by 2 columns pandas

In [11]: df.groupby(['col5', 'col2']).size()
Out[11]:
col5  col2
1     A       1
      D       3
2     B       2
3     A       3
      C       1
4     B       1
5     B       2
6     B       1
dtype: int64

Source: stackoverflow.com

Two groupby pandas

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

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

Source: pandas.pydata.org

Similar codes

-2 votes123 views1 answer
How to check if a string value is nan in python
Python
20 votes138 views2 answers
Cv2 not found
Python
0 vote152 views2 answers
Pandas weighted average groupby
Python
0 vote127 views1 answer
Ordenar lista python
Python
9 votes134 views4 answers
Python combinations function
Python
1 vote143 views2 answers
Tensor vs numpy array
Python
0 vote132 views1 answer
Proj 4.9.0 must be installed.
Python
1 vote142 views1 answer
Numpy replicate array
Python
0 vote138 views1 answer
Convert utc to gmt+7 pandas
Python
3 votes125 views2 answers
Import file in parent directory python
Python