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Description
Came across this while working on #37377
xref #28778 for potentially relevant prior discussions
This works on NumPy:
In [10]: np.array([0, 1, 2], dtype=bool)
Out[10]: array([False, True, True])but the following fails with BooleanArray:
In [11]: arr = pd.array([0, 1, 2], dtype="boolean")
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-11-44c03a9227eb> in <module>
----> 1 arr = pd.array([0, 1, 2], dtype="boolean")
/workspaces/pandas/pandas/core/construction.py in array(data, dtype, copy)
296 if is_extension_array_dtype(dtype):
297 cls = cast(ExtensionDtype, dtype).construct_array_type()
--> 298 return cls._from_sequence(data, dtype=dtype, copy=copy)
299
300 if dtype is None:
/workspaces/pandas/pandas/core/arrays/boolean.py in _from_sequence(cls, scalars, dtype, copy)
276 if dtype:
277 assert dtype == "boolean"
--> 278 values, mask = coerce_to_array(scalars, copy=copy)
279 return BooleanArray(values, mask)
280
/workspaces/pandas/pandas/core/arrays/boolean.py in coerce_to_array(values, mask, copy)
176 == values_object[~mask_values].astype(float)
177 ):
--> 178 raise TypeError("Need to pass bool-like values")
179
180 if mask is None and mask_values is None:
TypeError: Need to pass bool-like valuesI'm +0 on supporting NumPy-like behavior here (or we should make sure to document the current behavior)