TST (string dtype): clean-up interpolate tests #60653
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jorisvandenbossche
added
Testing
WillAyd
approved these changes
Jan 3, 2025
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Milestone should be 2.3 right? |
rhshadrach
reviewed
Jan 3, 2025
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| if not using_infer_string: | ||
| with pytest.raises(TypeError, match=msg): | ||
| df.set_index("C").interpolate() | ||
| else: | ||
| result = df.set_index("C").interpolate() | ||
| expected = df.set_index("C") | ||
| expected.loc[3, "A"] = 2.66667 | ||
| expected.loc[5, "B"] = 9 | ||
| tm.assert_frame_equal(result, expected) |
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Previously this test was showing an API discrepancy between object vs string dtypes. Maybe just open an issue to track?
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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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Small follow-up on #60637: move the code checking for the error for non-numeric data to a separate test, so we can actually still test the "basic" behaviour properly in the case there are only numeric columns. And remove the xfail for the non-range index case.