BUG: Cannot astype from IntegerArray to BooleanArray with missing values #31102
Description
For the boolean -> integer array conversion, I added a special path for that. But astypeing integer to boolean is currently not working:
In [23]: a = pd.array([1, 0, pd.NA])
In [24]: a
Out[24]:
<IntegerArray>
[1, 0, <NA>]
Length: 3, dtype: Int64
In [25]: a.astype("boolean")
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-25-41973ed53ee3> in <module>
----> 1 a.astype("boolean")
~/scipy/pandas/pandas/core/arrays/integer.py in astype(self, dtype, copy)
454 kwargs = {}
455
--> 456 data = self.to_numpy(dtype=dtype, **kwargs)
457 return astype_nansafe(data, dtype, copy=False)
458
~/scipy/pandas/pandas/core/arrays/masked.py in to_numpy(self, dtype, copy, na_value)
124 ):
125 raise ValueError(
--> 126 f"cannot convert to '{dtype}'-dtype NumPy array "
127 "with missing values. Specify an appropriate 'na_value' "
128 "for this dtype."
ValueError: cannot convert to 'boolean'-dtype NumPy array with missing values. Specify an appropriate 'na_value' for this dtype.
In [26]: a.astype(pd.BooleanDtype())
...
ValueError: cannot convert to 'boolean'-dtype NumPy array with missing values. Specify an appropriate 'na_value' for this dtype.
while for conversions to other nullable dtypes, this should be possible.