BUG: DataFrame Interchange Protocol errors on Boolean columns [skip-ci]

Author: MarcoGorelli

doc/source/whatsnew/v2.2.2.rst

@@ -24,6 +24,7 @@ Bug fixes
 ~~~~~~~~~
 - :meth:`DataFrame.__dataframe__` was showing bytemask instead of bitmask for ``'string[pyarrow]'`` validity buffer (:issue:`57762`)
 - :meth:`DataFrame.__dataframe__` was showing non-null validity buffer (instead of ``None``) ``'string[pyarrow]'`` without missing values (:issue:`57761`)
+- :meth:`DataFrame.__dataframe__` was producing incorrect data buffers when the column's type was nullable boolean (:issue:`55332`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_222.other:

pandas/core/interchange/utils.py

@@ -16,6 +16,8 @@
     DatetimeTZDtype,
 )
 
+from pandas import BooleanDtype
+
 if typing.TYPE_CHECKING:
     from pandas._typing import DtypeObj
 
@@ -142,6 +144,9 @@ def dtype_to_arrow_c_fmt(dtype: DtypeObj) -> str:
     elif isinstance(dtype, DatetimeTZDtype):
         return ArrowCTypes.TIMESTAMP.format(resolution=dtype.unit[0], tz=dtype.tz)
 
+    elif isinstance(dtype, BooleanDtype):
+        return ArrowCTypes.BOOL
+
     raise NotImplementedError(
         f"Conversion of {dtype} to Arrow C format string is not implemented."
     )

pandas/tests/interchange/test_impl.py

@@ -438,6 +438,7 @@ def test_non_str_names_w_duplicates():
         ),
         ([1.0, 2.25, None], "Float32", "float32"),
         ([1.0, 2.25, None], "Float32[pyarrow]", "float32"),
+        ([True, False, None], "boolean", "bool"),
         ([True, False, None], "boolean[pyarrow]", "bool"),
         (["much ado", "about", None], "string[pyarrow_numpy]", "large_string"),
         (["much ado", "about", None], "string[pyarrow]", "large_string"),