BUG: support casting from bool array to EA Integer dtype

doc/source/whatsnew/v0.25.0.rst

@@ -219,7 +219,7 @@ Numeric
 - Bug in :meth:`to_numeric` in which numbers were being coerced to float, even though ``errors`` was not ``coerce`` (:issue:`24910`)
 - Bug in error messages in :meth:`DataFrame.corr` and :meth:`Series.corr`. Added the possibility of using a callable. (:issue:`25729`)
 - Bug in :meth:`Series.divmod` and :meth:`Series.rdivmod` which would raise an (incorrect) ``ValueError`` rather than return a pair of :class:`Series` objects as result (:issue:`25557`)
--
+- Fixed bug where casting all-boolean array to integer extension array failed (:issue:`25211`)
 -
 -
 

pandas/core/arrays/integer.py

@@ -187,6 +187,9 @@ def coerce_to_array(values, dtype, mask=None, copy=False):
             raise TypeError("{} cannot be converted to an IntegerDtype".format(
                 values.dtype))
 
+    elif is_bool_dtype(values) and is_integer_dtype(dtype):
+        values = np.array(values, dtype=int, copy=copy)
+
     elif not (is_integer_dtype(values) or is_float_dtype(values)):
         raise TypeError("{} cannot be converted to an IntegerDtype".format(
             values.dtype))

pandas/tests/arrays/test_integer.py

@@ -615,6 +615,18 @@ def test_to_integer_array_float():
     assert result.dtype == Int64Dtype()
 
 
+@pytest.mark.parametrize(
+    'bool_values, int_values, result_dtype',
+    [([False, True], [0, 1], Int64Dtype()),
+     ([False, True], [0, 1], 'Int64'),
+     ([False, True, np.nan], [0, 1, np.nan], Int64Dtype())])
+def test_to_integer_array_bool(bool_values, int_values, result_dtype):
+    result = integer_array(bool_values, dtype=result_dtype)
+    assert result.dtype == result_dtype
+    expected = integer_array(int_values, dtype=result_dtype)
+    tm.assert_extension_array_equal(result, expected)
+
+
 @pytest.mark.parametrize(
     'values, to_dtype, result_dtype',
     [