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TST: Groupby.filter dropna=False with empty group (#10780) #14926

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Dec 20, 2016
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TST: Groupby.filter dropna=False with empty group (#10780) #14926

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13 changes: 13 additions & 0 deletions pandas/tests/groupby/test_filters.py
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Original file line number Diff line number Diff line change
Expand Up @@ -596,6 +596,19 @@ def test_filter_non_bool_raises(self):
with tm.assertRaisesRegexp(TypeError, 'filter function returned a.*'):
df.groupby('a').filter(lambda g: g.c.mean())

def test_filter_dropna_with_empty_groups(self):
# GH 10780
data = pd.Series(np.random.rand(9), index=np.repeat([1, 2, 3], 3))
groupped = data.groupby(level=0)
result_false = groupped.filter(lambda x: x.mean() > 1, dropna=False)
expected_false = pd.Series([np.nan] * 9,
index=np.repeat([1, 2, 3], 3))
tm.assert_series_equal(result_false, expected_false)

result_true = groupped.filter(lambda x: x.mean() > 1, dropna=True)
expected_true = pd.Series(index=pd.Index([], dtype=int))
tm.assert_series_equal(result_true, expected_true)


def assert_fp_equal(a, b):
assert (np.abs(a - b) < 1e-12).all()
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