Filter groupby pandas

>>> 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

0 vote274 views1 answer
Show avg value in sns boxplot
Python
0 vote261 views1 answer
Python numpy find local minima
Python
0 vote284 views1 answer
Request.body django
Python Django
1 vote315 views1 answer
Unix command in python script
Python
7 votes305 views2 answers
Pandas change to numeric
Python
0 vote276 views1 answer
Figure in matplotlib
Python
0 vote290 views1 answer
How to remove quasi constant column in pandas dataframe
Python
4 votes288 views1 answer
Pandas read_csv ignore first column
Python
4 votes275 views1 answer
Set column datatype pandas
Python
0 vote264 views1 answer
Off to obj python
Python