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TST: add test_ffill_with_string_column #40557

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May 13, 2021
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11 changes: 11 additions & 0 deletions pandas/tests/groupby/test_missing.py
Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,17 @@ def test_ffill_missing_arguments():
df.groupby("b").fillna()


def test_ffill_with_string_column():
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rename to test_ffill_with_string_dtype

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@shiv-io shiv-io Apr 17, 2021

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I thought it made sense to rename to test_fillna_with_string_dtype since I have now parameterized the test to test both ffill and bfill.

# GH 40250
result = (
DataFrame({"a": pd.array([None, "a"], dtype="string"), "b": [0, 0]})
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can you change the example so it also fills a forward value (e.g. make the input '[None, "a", None]'

.groupby("b")
.ffill()
)
expected = DataFrame({"a": pd.array([None, "a"], dtype="string")})
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would also not object to a parameterized version which tests bfill as well.

tm.assert_frame_equal(result, expected)


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we may have a similar example with object dtype, if you can co-locate, alternatively can parameterize on the dtype as well.

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after #41343 is merged, can use the any_string_dtype fixture

def test_fill_consistency():

# GH9221
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