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REGR: Avoid regression warning with ea dtype and assert_index_equal order False #47325

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Merged
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Jun 15, 2022
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REGR: Avoid regression warning with ea dtype and assert_index_equal order False #47325

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REGR: Avoid regression warning with ea dtype and assert_index_equal o…
phofl Jun 13, 2022
aa6e165
Add test
phofl Jun 14, 2022
5879fb4
Remove fixture
phofl Jun 15, 2022
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.4.3.rst
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Expand Up @@ -24,6 +24,7 @@ Fixed regressions
- Fixed regression in :func:`read_csv` with ``index_col=False`` identifying first row as index names when ``header=None`` (:issue:`46955`)
- Fixed regression in :meth:`.DataFrameGroupBy.agg` when used with list-likes or dict-likes and ``axis=1`` that would give incorrect results; now raises ``NotImplementedError`` (:issue:`46995`)
- Fixed regression in :meth:`DataFrame.resample` and :meth:`DataFrame.rolling` when used with list-likes or dict-likes and ``axis=1`` that would raise an unintuitive error message; now raises ``NotImplementedError`` (:issue:`46904`)
- Fixed regression in :func:`assert_index_equal` when ``check_order=False`` and :class:`Index` has extension or object dtype (:issue:`47207`)
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@phofl FYI :func:`assert_index_equal` doesn't render. probably needs to be :func:`testing.assert_index_equal` .

no need to follow-up as can be done with other cleanups before release.

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Thanks, will try to do correctly in the future

- Fixed regression in :func:`read_excel` returning ints as floats on certain input sheets (:issue:`46988`)
- Fixed regression in :meth:`DataFrame.shift` when ``axis`` is ``columns`` and ``fill_value`` is absent, ``freq`` is ignored (:issue:`47039`)

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4 changes: 2 additions & 2 deletions pandas/_testing/asserters.py
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Expand Up @@ -367,8 +367,8 @@ def _get_ilevel_values(index, level):

# If order doesn't matter then sort the index entries
if not check_order:
left = Index(safe_sort(left))
right = Index(safe_sort(right))
left = Index(safe_sort(left), dtype=left.dtype)
right = Index(safe_sort(right), dtype=right.dtype)
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maybe another issue, but the check_names check is later. It maybe that would need to resuse the code pattern you added in #47206. Not here, as this PR is targeted 1.4.3, just an observation.

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@phofl phofl Jun 13, 2022 •
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Good point, I am not using that myself, so I am a bit fuzzy on all the keywords :)

It is actually a bit more comlex, because These calls return regular indexes, even if a MultiIndex was given. I'll open an issue about it

Edit: Sorry misunderstood you. You are correct, we have to use exactly the same pattern

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my thinking was that your fix in #47206 looked quite useful to robustly sort indexes. and maybe a safe_sort_index would be handy. (IIRC we cannot support pandas objects in safe_sort but would need to check this). I wonder can the fix in #47206 suffer from the rogue warning too without the dtype specified there?

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Yep you are completely right. Opened #47330 for 1.5


# MultiIndex special comparison for little-friendly error messages
if left.nlevels > 1:
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14 changes: 14 additions & 0 deletions pandas/tests/util/test_assert_index_equal.py
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Expand Up @@ -242,3 +242,17 @@ def test_assert_index_equal_mixed_dtype():
# GH#39168
idx = Index(["foo", "bar", 42])
tm.assert_index_equal(idx, idx, check_order=False)


def test_assert_index_equal_ea_dtype_order_false(any_numeric_ea_dtype):
# GH#47207
idx1 = Index([1, 3], dtype=any_numeric_ea_dtype)
idx2 = Index([3, 1], dtype=any_numeric_ea_dtype)
tm.assert_index_equal(idx1, idx2, check_order=False)


def test_assert_index_equal_object_ints_order_false():
# GH#47207
idx1 = Index([1, 3], dtype="object")
idx2 = Index([3, 1], dtype="object")
tm.assert_index_equal(idx1, idx2, check_order=False)