These are testing conversion between DataFrame and xarray, and are
probably failing because xarray now handles extension types in some
places it previously didn't, but not everywhere -
https://github.com/pydata/xarray/issues/9661 .
"Attributes of DataFrame.iloc[:, 5] (column name="f") are different" -
Categorical columns now keep that dtype where they previously lost it
(which is actually an improvement, but the tests need to be told to
expect it).
"DataFrame.index classes are different" - However, extension-type
indices now lose that type where they previously kept it.
"DataFrame shape mismatch" - Possibly because of this, DataFrames with
repeated index values now gain more rows on conversion to and from
xarray, and the number suggests that n repeats becomes n^2 repeats.
(test_spss_metadata is a new item added in later pyreadstat, not an
actual problem, so the fix is to change the reference to expect it:
https://github.com/pandas-dev/pandas/pull/60109 . The parso failure no
longer appears, presumably because it now supports Python 3.13.)
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