/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 vote281 views1 answer
How to make booking website using django step by step
Python Django
0 vote243 views1 answer
Pandas dataframe froms string
Python
1 vote307 views1 answer
Django text area limit characters
Python Django
0 vote268 views1 answer
Django array of dates
Python Django
1 vote256 views1 answer
Kaaba python tutorial
Python
0 vote267 views2 answers
How to make a stopwatch in python
Python
3 votes248 views1 answer
Spotify api python
Python
0 vote282 views1 answer
Using django model translation with django rest
Python Django
1 vote286 views1 answer
LookupError: unknown encoding: idna python
Python
0 vote332 views1 answer
Select specific column names from dataframe
Python