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

4 votes219 views2 answers
Matplotlib axes limits
Python
12 votes227 views6 answers
How to make a list python
Python
1 vote151 views1 answer
Cannot import name 'joblib' from 'sklearn.externals' (/shared-libs/python3.7/py/lib/python3.7/site-packages/sklearn/externals/__init__.py)
Python
1 vote241 views1 answer
ValueError: logits and labels must have the same shape ((None, 1) vs (None, 2))
Python
14 votes181 views4 answers
Find average in python
Python
0 vote217 views1 answer
Any value in list will retrun true python
Python
0 vote211 views1 answer
Python how to add a string to a list in the begining
Python
0 vote233 views1 answer
How to round an array in python
Python
0 vote217 views1 answer
Obtener el mayor valor de un diccionario python
Python
0 vote209 views2 answers
Palindrom python rekursiv
Python