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REF: pass dtype explicitly to _from_sequence inside pd.array #59773

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Sep 25, 2024
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REF: pass dtype explicitly to _from_sequence inside pd.array #59773

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8652024
REF: pass dtype explicitly to _from_sequence
jbrockmendel Sep 10, 2024
ea6220b
Merge branch 'main' into ref-dtype-explicit-array
jbrockmendel Sep 20, 2024
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6 changes: 4 additions & 2 deletions pandas/core/construction.py
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Original file line number Diff line number Diff line change
Expand Up @@ -358,15 +358,17 @@ def array(
return cls._from_sequence(data, dtype=dtype, copy=copy)

elif data.dtype.kind in "iu":
return IntegerArray._from_sequence(data, copy=copy)
dtype = IntegerArray._dtype_cls._get_dtype_mapping()[data.dtype]
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Suggested change
dtype = IntegerArray._dtype_cls._get_dtype_mapping()[data.dtype]
dtype = NUMPY_INT_TO_DTYPE[data.dtype]

?

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thatd work too. i chose to do it this way to avoid the extra import

return IntegerArray._from_sequence(data, dtype=dtype, copy=copy)
elif data.dtype.kind == "f":
# GH#44715 Exclude np.float16 bc FloatingArray does not support it;
# we will fall back to NumpyExtensionArray.
if data.dtype == np.float16:
return NumpyExtensionArray._from_sequence(
data, dtype=data.dtype, copy=copy
)
return FloatingArray._from_sequence(data, copy=copy)
dtype = FloatingArray._dtype_cls._get_dtype_mapping()[data.dtype]
return FloatingArray._from_sequence(data, dtype=dtype, copy=copy)

elif data.dtype.kind == "b":
return BooleanArray._from_sequence(data, dtype="boolean", copy=copy)
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2 changes: 1 addition & 1 deletion pandas/tests/extension/base/methods.py
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Expand Up @@ -549,7 +549,7 @@ def _test_searchsorted_bool_dtypes(self, data_for_sorting, as_series):
dtype = data_for_sorting.dtype
data_for_sorting = pd.array([True, False], dtype=dtype)
b, a = data_for_sorting
arr = type(data_for_sorting)._from_sequence([a, b])
arr = type(data_for_sorting)._from_sequence([a, b], dtype=dtype)

if as_series:
arr = pd.Series(arr)
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