Raises a ValueError for not handled dtypes in pyarrow Conversion.

doc/source/whatsnew/v2.2.0.rst

@@ -251,6 +251,7 @@ Other Deprecations
 - Deprecated downcasting behavior in :meth:`Series.where`, :meth:`DataFrame.where`, :meth:`Series.mask`, :meth:`DataFrame.mask`, :meth:`Series.clip`, :meth:`DataFrame.clip`; in a future version these will not infer object-dtype columns to non-object dtype, or all-round floats to integer dtype. Call ``result.infer_objects(copy=False)`` on the result for object inference, or explicitly cast floats to ints. To opt in to the future version, use ``pd.set_option("future.no_silent_downcasting", True)`` (:issue:`53656`)
 - Deprecated including the groups in computations when using :meth:`DataFrameGroupBy.apply` and :meth:`DataFrameGroupBy.resample`; pass ``include_groups=False`` to exclude the groups (:issue:`7155`)
 - Deprecated not passing a tuple to :class:`DataFrameGroupBy.get_group` or :class:`SeriesGroupBy.get_group` when grouping by a length-1 list-like (:issue:`25971`)
+- Deprecated string ``A`` denoting frequency in :class:`YearEnd` and strings ``A-DEC``, ``A-JAN``, etc. denoting annual frequencies with various fiscal year ends (:issue:`52536`)
 - Deprecated strings ``S``, ``U``, and ``N`` denoting units in :func:`to_timedelta` (:issue:`52536`)
 - Deprecated strings ``T``, ``S``, ``L``, ``U``, and ``N`` denoting frequencies in :class:`Minute`, :class:`Second`, :class:`Milli`, :class:`Micro`, :class:`Nano` (:issue:`52536`)
 - Deprecated strings ``T``, ``S``, ``L``, ``U``, and ``N`` denoting units in :class:`Timedelta` (:issue:`52536`)
@@ -283,6 +284,7 @@ Bug fixes
 - Bug in :meth:`DataFrame.apply` where passing ``raw=True`` ignored ``args`` passed to the applied function (:issue:`55009`)
 - Bug in :meth:`pandas.DataFrame.melt` where it would not preserve the datetime (:issue:`55254`)
 - Bug in :meth:`pandas.read_excel` with a ODS file without cached formatted cell for float values (:issue:`55219`)
+-
 
 Categorical
 ^^^^^^^^^^^
@@ -312,6 +314,7 @@ Numeric
 Conversion
 ^^^^^^^^^^
 - Bug in :meth:`Series.convert_dtypes` not converting all NA column to ``null[pyarrow]`` (:issue:`55346`)
+- Raise ValueError in :meth:`PandasColumn._dtype_from_pandasdtype` for currently unhandled dtypes. (:issue:`55332`)
 -
 
 Strings
@@ -362,7 +365,9 @@ Plotting
 
 Groupby/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
--
+- Fixed bug in :meth:`DataFrame.resample` not respecting ``closed`` and ``label`` arguments for :class:`~pandas.tseries.offsets.BusinessDay` (:issue:`55282`)
+- Fixed bug in :meth:`DataFrame.resample` where bin edges were not correct for :class:`~pandas.tseries.offsets.BusinessDay` (:issue:`55281`)
+- Fixed bug in :meth:`DataFrame.resample` where bin edges were not correct for :class:`~pandas.tseries.offsets.MonthBegin` (:issue:`55271`)
 -
 
 Reshaping
@@ -389,6 +394,8 @@ Styler
 Other
 ^^^^^
 - Bug in :func:`cut` incorrectly allowing cutting of timezone-aware datetimes with timezone-naive bins (:issue:`54964`)
+- Bug in rendering a :class:`Series` with a :class:`MultiIndex` when one of the index level's names is 0 not having that name displayed (:issue:`55415`)
+-
 
 .. ***DO NOT USE THIS SECTION***
 

pandas/core/interchange/column.py

@@ -144,7 +144,12 @@ def _dtype_from_pandasdtype(self, dtype) -> tuple[DtypeKind, int, str, str]:
         elif isinstance(dtype, DatetimeTZDtype):
             byteorder = dtype.base.byteorder  # type: ignore[union-attr]
         else:
-            byteorder = dtype.byteorder
+            try:
+                byteorder = dtype.byteorder
+            except AttributeError:
+                raise ValueError(
+                    f"Data type {dtype} not supported by interchange protocol"
+                )
 
         return kind, dtype.itemsize * 8, dtype_to_arrow_c_fmt(dtype), byteorder
 

pandas/tests/interchange/test_impl.py

@@ -326,3 +326,17 @@ def test_interchange_from_non_pandas_tz_aware():
         dtype="datetime64[us, Asia/Kathmandu]",
     )
     tm.assert_frame_equal(expected, result)
+
+
+def test_not_handled() -> None:
+    pa = pytest.importorskip("pyarrow", "11.0.0")
+    df = pd.DataFrame(
+        {
+            "b": pd.Series([True, False], dtype="boolean"),
+        }
+    )
+    with pytest.raises(
+        ValueError,
+        match="Data type boolean not supported by interchange protocol",
+    ):
+        pa.interchange.from_dataframe(df)