Groupby where only

>>> df = pd.DataFrame({'A' : ['foo', 'bar', 'foo', 'bar',
...                           'foo', 'bar'],
...                    'B' : [1, 2, 3, 4, 5, 6],
...                    'C' : [2.0, 5., 8., 1., 2., 9.]})
>>> grouped = df.groupby('A')
>>> grouped.filter(lambda x: x['B'].mean() > 3.)
     A  B    C
1  bar  2  5.0
3  bar  4  1.0
5  bar  6  9.0

-1

Source: pandas.pydata.org

Similar codes

2 votes218 views1 answer
Django flush database
Python Django
0 vote174 views2 answers
Python script in excel
Python
2 votes250 views1 answer
Python ftplib get list of directories
Python
3 votes193 views2 answers
Plot second y axis matplotlib
Python
0 vote212 views1 answer
Create pdf in python
Python
1 vote403 views1 answer
Pygame disable message
Python
69 votes184 views6 answers
How to activate venv python
Python
0 vote213 views1 answer
Mechanize python XE #25
Python
0 vote176 views1 answer
Python remove blanks from string
Python
1 vote193 views1 answer
Python convert file into list
Python