TST: add fillna test for filling with Categorical #62319
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rhshadrach
requested changes
Sep 30, 2025
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| filler = Series(Categorical([10.0, 20.0, 30.0])) | ||
| df.fillna({"ints": filler}, inplace=True) |
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Can you avoid mutating here; when debugging, it can be helpful to have both before and after the operation accessible.
Suggested change
| df.fillna({"ints": filler}, inplace=True) | |
| result = df.fillna({"ints": filler}) |
| tm.assert_frame_equal(df.fillna(value=NaT), df) | ||
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| def test_fillna_with_categorical_series(self): | ||
| df = DataFrame( |
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Add a reference to the issue as a comment on the first line.
# https://github.com/pandas-dev/pandas/issues/56329
rhshadrach
added
Missing-data
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This pull request is stale because it has been open for thirty days with no activity. Please update and respond to this comment if you're still interested in working on this. |
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Closing as stale. If you're interested in continuing, address requests above and we'd be more than happy to reopen! |
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Added a test to TestFillNA to check that call fillna with a
Seriesof dtypeCategoricaldoes not throw an error.