filter(self, func, dropna: 'bool' = True, *args, **kwargs)
Functions that mutate the passed object can produce unexpected behavior or errors and are not supported. See gotchas.udf-mutation
for more details.
To apply to each group. Should return True or False.
if False, groups that evaluate False are filled with NaNs.
Return a copy of a Series excluding elements from groups that do not satisfy the boolean criterion specified by func.
>>> df = pd.DataFrame({'A' : ['foo', 'bar', 'foo', 'bar',See :
... 'foo', 'bar'],
... 'B' : [1, 2, 3, 4, 5, 6],
... 'C' : [2.0, 5., 8., 1., 2., 9.]})
... grouped = df.groupby('A')
... df.groupby('A').B.filter(lambda x: x.mean() > 3.) 1 2 3 4 5 6 Name: B, dtype: int64
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