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

0 vote324 views2 answers
Python convert ftp timestamp to datetime
Python
0 vote277 views2 answers
How to close a flask web server with python
Python
2 votes259 views1 answer
Python backslash in string
Python
0 vote278 views2 answers
Python delete intersection of two sets
Python
-1 vote309 views1 answer
How to generate random list in python with specific range
Python
16 votes261 views2 answers
What is self keyword in python
Python
1 vote290 views1 answer
How to make jupyterlab see other directory
Python
0 vote282 views2 answers
Matplotlib colormap transparent white to black
Python
3 votes277 views3 answers
Calculate mean median mode in python
Python
1 vote266 views1 answer
How to take list of float as input in python
Python