/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

1 vote296 views1 answer
Inplace pandas
Python
0 vote342 views1 answer
Python matplotlib plot thickness
Python
0 vote325 views1 answer
Sklearn impute
Python
0 vote284 views1 answer
Theme_use() tkinter theme usage
Python
0 vote295 views1 answer
Split a string by comma in python
Python
0 vote298 views1 answer
How to fix valueerror in python
Python
0 vote312 views1 answer
DataFrame.plot.line() method: | dataframe line plot
Python
0 vote286 views1 answer
Ajouter élément liste python
Python
0 vote297 views1 answer
Datetime column only extract date pandas
Python
1 vote327 views4 answers
Tkinter icon
Python