pandas 1.4.2

NotesParametersReturns
filter(self, func, dropna: 'bool' = True, *args, **kwargs)

Notes

Functions that mutate the passed object can produce unexpected behavior or errors and are not supported. See gotchas.udf-mutation for more details.

Parameters

func : function

To apply to each group. Should return True or False.

dropna : Drop groups that do not pass the filter. True by default;

if False, groups that evaluate False are filled with NaNs.

Returns

filtered : Series

Return a copy of a Series excluding elements from groups that do not satisfy the boolean criterion specified by func.

Examples

This example is valid syntax, but we were not able to check execution
>>> 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')
... df.groupby('A').B.filter(lambda x: x.mean() > 3.) 1 2 3 4 5 6 Name: B, dtype: int64
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File: /pandas/core/groupby/generic.py#478
type: <class 'function'>
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