ENH/TST: Add BaseMethodsTests tests for ArrowExtensionArray #47552
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mroeschke
added
Testing
jreback
approved these changes
Jul 3, 2022
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Will take a look today (and start whittling down the ping backlog) |
jbrockmendel
reviewed
Jul 5, 2022
| @@ -49,8 +50,7 @@ def test_value_counts_with_normalize(self, data): | |||
| else: | |||
| expected = pd.Series(0.0, index=result.index) | |||
| expected[result > 0] = 1 / len(values) | |||
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| if isinstance(data.dtype, pd.core.dtypes.dtypes.BaseMaskedDtype): | |||
| if na_value_for_dtype(data.dtype) is pd.NA: | |||
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not for this PR, but we probably need to find a way to let authors define na_value_for_dtype
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Probably similar to #27825
jbrockmendel
reviewed
Jul 5, 2022
| super().test_container_shift(data, frame, periods, indices) | ||
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| @pytest.mark.xfail( | ||
| reason="result dtype pyarrow[bool] better than expected dtype object" |
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medium-term should just override the test with the correct/better behavior
yehoshuadimarsky
pushed a commit
to yehoshuadimarsky/pandas
that referenced
this pull request
Jul 13, 2022
…ev#47552) * ENH/TST: Add BaseMethodsTests tests for ArrowExtensionArray * Passing test now * add xfails for arraymanager * Fix typo * Trigger CI * Add xfails for min version and datamanger * Adjust more tests
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