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BUG: avoid triggering numpy deprecation warning in assert functions for nested array with empty array/list #59778

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merged 2 commits into from
Sep 12, 2024
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BUG: avoid triggering numpy deprecation warning in assert functions for nested array with empty array/list #59778

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BUG: avoid triggering numpy deprecation warning in assert functions f…
jorisvandenbossche Sep 11, 2024
591a455
remove expected warnings in tests
jorisvandenbossche Sep 11, 2024
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2 changes: 2 additions & 0 deletions pandas/_libs/lib.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -600,6 +600,8 @@ def array_equivalent_object(ndarray left, ndarray right) -> bool:
if not array_equivalent(x, y):
return False

elif PyArray_Check(x) or PyArray_Check(y):
return False
Comment on lines +603 to +604
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Below we would essentially do bool(left == right) which raises an error for arrays/lists of size > 1 (and that error would then be caught below, turned into return False. So for now, just directly returning False here when left or right is a numpy array and the other not.

That then avoids doing this bool(left == right) for empty array/list case, which triggers the warning.

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So for now, just directly returning False here when left or right is a numpy array and the other not.

Did you mean to use xor instead of or?

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The first if just before is if PyArray_Check(x) and PyArray_Check(y), so the or is sufficient

elif (x is C_NA) ^ (y is C_NA):
return False
elif not (
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4 changes: 4 additions & 0 deletions pandas/tests/util/test_assert_almost_equal.py
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Expand Up @@ -534,6 +534,10 @@ def test_assert_almost_equal_iterable_values_mismatch():
np.array([np.array([1, 2, 3]), np.array([4, 5])], dtype=object),
np.array([[1, 2, 3], [4, 5]], dtype=object),
),
(
np.array([np.array([], dtype=object), None], dtype=object),
np.array([[], None], dtype=object),
),
(
np.array(
[
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