TST: assert reading of legacy pickles against current data #61792
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jorisvandenbossche
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| # "cat_onecol": DataFrame({"A": Categorical(["foo", "bar"])}), | ||
| "cat_onecol": DataFrame( | ||
| { | ||
| "A": Categorical.from_codes( | ||
| [1, 0], categories=Index(["bar", "foo"], dtype="object") | ||
| ) | ||
| } | ||
| ), |
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@jorisvandenbossche to get the old behavior here, the code changes are a bit more involved. I've not got round to reviewing all the migration guides/release notes yet. Is this included? if not, should it be?
| and legacy_version < Version("1.3.0") | ||
| ): | ||
| # convert to wall time | ||
| # (bug since pandas 2.0 that tz gets dropped for older pickle files) |
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is there an issue ref for this
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can you merge main and see if the pyarrow decimal issue resolves itself? |
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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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While reviewing #61770, I noticed that we didn't actually compare the read pickle data to some ground truth expected value, but just to itself (we were essentially doing
assert_equal(result, result)..), due to some accidental change in a clean-up many years ago in f2246cf)Fixing that here by again creating the expected unpickled data with
create_pickle_data()during the test run, to compare with the data from the older pickled files.