TST (string dtype): clean-up interpolate tests #60653
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jorisvandenbossche
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Testing
WillAyd
approved these changes
Jan 3, 2025
|
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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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.