/Python/Dataframe groupby multiple columns

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

Pandas sum multiple columns groupby

df.groupby(['col1','col2']).agg({'col3':'sum','col4':'sum'}).reset_index()

Source: stackoverflow.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 vote180 views1 answer
Flask remove file after send_file
Python Flask
2 votes133 views1 answer
Python pandas apply to one column
Python
1 vote148 views2 answers
Download pdf from url python
Python
4 votes134 views1 answer
Beuatiful soup find a href
Python
8 votes137 views1 answer
Input stdin python
Python
0 vote137 views1 answer
The webpage at http://127.0.0.1:8000/ might be temporarily down or it may have moved permanently to a new web address. django
Python
0 vote129 views1 answer
Python code to display a grid of data table
Python
0 vote138 views1 answer
Pytest fixtures scope explained
Python
0 vote134 views1 answer
Optimize images in python using pillow
Python
0 vote169 views1 answer
Python timedelta get days with fraction
Python