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TST: add test_ffill_with_string_column #40557

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Merged
merged 8 commits into from
May 13, 2021
Merged

TST: add test_ffill_with_string_column #40557

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6c4ec55
Merge pull request #1 from pandas-dev/master
shiv-io Mar 20, 2021
e96d0d4
Add test
shiv-io Mar 21, 2021
e633c2a
Parameterize test to test bfill and ffill
shiv-io Apr 17, 2021
c723e8c
Update function name
shiv-io Apr 17, 2021
c4902e6
Clean up result assignment
shiv-io May 9, 2021
31c9312
Parameterize expected dataframe
shiv-io May 9, 2021
4e23007
Add test function parameter
shiv-io May 9, 2021
ca4acb8
Merge branch 'pandas-dev:master' into tst-gh-40250
shiv-io May 13, 2021
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15 changes: 15 additions & 0 deletions pandas/tests/groupby/test_missing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,21 @@ def test_ffill_missing_arguments():
df.groupby("b").fillna()


@pytest.mark.parametrize("method", ["ffill", "bfill"])
def test_fillna_with_string_dtype(method):
# GH 40250
result = (
DataFrame({"a": pd.array([None, "a", None], dtype="string"), "b": [0, 0, 0]})
.groupby("b")
.fillna(method=method)
)
if method == "ffill":
expected = DataFrame({"a": pd.array([None, "a", "a"], dtype="string")})
elif method == "bfill":
expected = DataFrame({"a": pd.array(["a", "a", None], dtype="string")})
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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