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

52 votes319 views2 answers
Python find index by value
Python
1 vote309 views2 answers
Python write json to file utf8
Python
9 votes293 views6 answers
Dropna pandas
Python
0 vote336 views1 answer
Check this id exist in database django
Python Django
1 vote296 views1 answer
Networkx remove nodes with degree
Python
6 votes270 views2 answers
Iterable meaning
Python
0 vote312 views1 answer
How to get all distinct substrings in a string python
Python
0 vote317 views1 answer
Tkinter datatypes
Python
0 vote266 views1 answer
Pandas split dataframe into chunks with a condition
Python
10 votes286 views2 answers
Check if key exists in sesison python
Python