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TST: Inconsistent behavior of .replace() in Int64 series with NA #38693

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Merged
merged 13 commits into from
Dec 28, 2020
Merged

TST: Inconsistent behavior of .replace() in Int64 series with NA #38693

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39ec797
pandas-dev issue #38267
ftrihardjo Dec 25, 2020
a83dbcb
pandas-dev issue #38267
ftrihardjo Dec 25, 2020
3db04e7
pandas-dev issue #38267
ftrihardjo Dec 26, 2020
b8ccce5
pandas-dev issue #38267
ftrihardjo Dec 26, 2020
9b3f075
pandas-dev issue #38267
ftrihardjo Dec 26, 2020
9d437ec
pandas-dev issue #38267
ftrihardjo Dec 26, 2020
76e2fa6
pandas-dev issue #38267
ftrihardjo Dec 27, 2020
6320412
pandas-dev issue #38267
ftrihardjo Dec 27, 2020
a5dc3c4
pandas-dev issue #38267
ftrihardjo Dec 27, 2020
ced83a6
pandas-dev issue #38267
ftrihardjo Dec 27, 2020
d486750
pandas-dev issue #38267
ftrihardjo Dec 27, 2020
d11fddc
pandas-dev issue #38267
ftrihardjo Dec 28, 2020
778392c
pandas-dev issue #38267
ftrihardjo Dec 28, 2020
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8 changes: 8 additions & 0 deletions pandas/tests/series/methods/test_replace.py
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Original file line number Diff line number Diff line change
Expand Up @@ -208,6 +208,14 @@ def test_replace_with_dict_with_bool_keys(self):
expected = pd.Series(["yes", False, "yes"])
tm.assert_series_equal(result, expected)

@pytest.mark.parametrize('dtype', ['int8', 'int16', 'int32', 'int64'])
def test_replace_int_with_na(self, dtype):
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should use any_nullable_int_dtype fixture here

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I'd call it test_replace_nullable_int_with_na or test_replace_Int_with_na

result = pd.Series([0, None]).astype(dtype)
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can you put the issue number as a comment here? see some other tests for an example

result.replace(0, pd.NA)
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I think you'll want

result = result.replace(0, pd.NA)

expected = pd.Series([0, None]).astype(dtype)
expected.fillna(0).replace(0, pd.NA)
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why is this line needed? Just construct expected directly

tm.assert_series_equal(result, expected)

def test_replace2(self):
N = 100
ser = pd.Series(np.fabs(np.random.randn(N)), tm.makeDateIndex(N), dtype=object)
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