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

2 votes198 views2 answers
Django filter and condition
Python
0 vote260 views1 answer
Python trim zero off end of list
Python
6 votes228 views1 answer
Run py file in another py file
Python
1 vote207 views1 answer
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available()
Python
0 vote286 views1 answer
Raise 400 error python
Python
2 votes192 views2 answers
Nth root of a number python
Python
5 votes240 views4 answers
If queryset is empty django
Python Django
0 vote269 views1 answer
Sonido sfr200a
Python
0 vote204 views1 answer
Python string: .replace()
Python
4 votes165 views1 answer
Google translate python
Python