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TST: add test_ffill_with_string_column #40557
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Original file line number | Diff line number | Diff line change |
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@@ -43,6 +43,17 @@ def test_ffill_missing_arguments(): | |
df.groupby("b").fillna() | ||
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def test_ffill_with_string_column(): | ||
# GH 40250 | ||
result = ( | ||
DataFrame({"a": pd.array([None, "a"], dtype="string"), "b": [0, 0]}) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. can you change the example so it also fills a forward value (e.g. make the input '[None, "a", None]' |
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.groupby("b") | ||
.ffill() | ||
) | ||
expected = DataFrame({"a": pd.array([None, "a"], dtype="string")}) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. would also not object to a parameterized version which tests bfill as well. |
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tm.assert_frame_equal(result, expected) | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. we may have a similar example with object dtype, if you can co-locate, alternatively can parameterize on the dtype as well. There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. after #41343 is merged, can use the |
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def test_fill_consistency(): | ||
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# GH9221 | ||
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rename to test_ffill_with_string_dtype
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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 bothffill
andbfill
.