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cast numpy scalars to arrays in as_compatible_data #9403

Merged
merged 11 commits into from
Sep 23, 2024
Merged

cast numpy scalars to arrays in as_compatible_data #9403

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17367f3
also call `np.asarray` on numpy scalars
keewis Aug 27, 2024
a673e61
check that numpy scalars are properly casted to arrays
keewis Aug 27, 2024
ff909b0
Merge branch 'main' into force-scalars-to-ndarray
keewis Aug 27, 2024
f61c6c2
Merge branch 'main' into force-scalars-to-ndarray
keewis Aug 28, 2024
2b66e25
don't allow `numpy.ndarray` subclasses
keewis Aug 28, 2024
01e83ad
Merge branch 'main' into force-scalars-to-ndarray
keewis Aug 28, 2024
2fa2a2c
Merge branch 'main' into force-scalars-to-ndarray
keewis Sep 1, 2024
42f7e8c
Merge branch 'main' into force-scalars-to-ndarray
keewis Sep 3, 2024
9baaf50
Merge branch 'main' into force-scalars-to-ndarray
keewis Sep 20, 2024
f01ca2a
comment on the purpose of the explicit isinstance and `np.asarray`
keewis Sep 20, 2024
9aed88d
Merge branch 'main' into force-scalars-to-ndarray
keewis Sep 22, 2024
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2 changes: 1 addition & 1 deletion xarray/core/variable.py
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Original file line number Diff line number Diff line change
Expand Up @@ -310,7 +310,7 @@ def as_compatible_data(
else:
data = np.asarray(data)

if not isinstance(data, np.ndarray) and (
if not isinstance(data, np.ndarray | np.generic) and (
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This is worth adding a comment, noting that we want to cast numpy scalars to arrays.

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I think the latest commit does that, but please check if that's clear enough

hasattr(data, "__array_function__") or hasattr(data, "__array_namespace__")
):
return cast("T_DuckArray", data)
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9 changes: 7 additions & 2 deletions xarray/tests/test_variable.py
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Expand Up @@ -2584,10 +2584,15 @@ def test_unchanged_types(self):
assert source_ndarray(x) is source_ndarray(as_compatible_data(x))

def test_converted_types(self):
for input_array in [[[0, 1, 2]], pd.DataFrame([[0, 1, 2]])]:
for input_array in [
[[0, 1, 2]],
pd.DataFrame([[0, 1, 2]]),
np.float64(1.4),
np.str_("abc"),
]:
actual = as_compatible_data(input_array)
assert_array_equal(np.asarray(input_array), actual)
assert np.ndarray == type(actual)
assert isinstance(actual, np.ndarray)
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assert np.asarray(input_array).dtype == actual.dtype

def test_masked_array(self):
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