Clean Up Categorical Test for JSON #33228
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WillAyd
added
IO JSON
WillAyd
commented
Apr 2, 2020
| data = self.categorical.to_json(orient=orient) | ||
| if numpy and orient in ("records", "values"): | ||
| data = df.to_json(orient=orient) | ||
| if numpy and orient != "split": |
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I removed the xfail preceding this because it was no longer applicable, but it unearthed a new issue when numpy=True and any orient except split.
That keyword is deprecated in #28512 and scheduled for removal in 2.0, so figured not worth investing much in
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/azp run |
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Azure Pipelines successfully started running 1 pipeline(s). |
mroeschke
approved these changes
Apr 3, 2020
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thanks @WillAyd |
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This is a little wonky in its current state, bolting categoricals onto an existing object / fixture
Instead just localized this to the one test that covers it for now