/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 vote300 views1 answer
Plynomial regression implementation python
Python
41 votes316 views6 answers
Python comments
Python
0 vote310 views1 answer
Difference between calling a function and referencing a function python
Python
0 vote333 views1 answer
How to find permutation of numbers in python
Python
0 vote324 views1 answer
Enumerate() to skip items
Python
-1 vote310 views1 answer
Python matrix determinant without numpy
Python
0 vote307 views1 answer
Kivy Python ListView Scrollview with Toggle on off
Python
210 votes481 views6 answers
Looping over dictionary python
Python
1 vote312 views1 answer
Uninstall a python package from virtualenv
Python
3 votes336 views2 answers
Python find location of module
Python