Fix sphinx warnings

pandas/core/frame.py

@@ -2945,10 +2945,10 @@ def to_orc(
  Raises
  ------
  NotImplementedError
- * Dtype of one or more columns is unsigned integers, intervals,
-  periods, sparse or categorical.
+ Dtype of one or more columns is category, unsigned integers, interval,
+ period or sparse.
  ValueError
- * engine is not pyarrow.
+ engine is not pyarrow.
 
  See Also
  --------
@@ -2961,13 +2961,13 @@ def to_orc(
  Notes
  -----
  * Before using this function you should read the :ref:`user guide about
- ORC <io.orc>` and :ref:`install optional dependencies <install.warn_orc>`.
- * This function requires `pyarrow <https://arrow.apache.org/docs/python/>`
- _ library.
+  ORC <io.orc>` and :ref:`install optional dependencies <install.warn_orc>`.
+ * This function requires `pyarrow <https://arrow.apache.org/docs/python/>`_
+   library.
  * Unsigned integers, intervals, periods, sparse and categorical Dtypes
- are not supported yet.
+  are not supported yet.
  * Currently timezones in datetime columns are not preserved when a
- dataframe is converted into ORC files.
+  dataframe is converted into ORC files.
 
  Examples
  --------

pandas/io/orc.py

@@ -107,22 +107,22 @@ def to_orc(
  Raises
  ------
  NotImplementedError
- * Dtype of one or more columns is unsigned integers, intervals,
-  periods, sparse or categorical.
+ Dtype of one or more columns is category, unsigned integers, interval,
+ period or sparse.
  ValueError
- * engine is not pyarrow.
+ engine is not pyarrow.
 
  Notes
  -----
  * Before using this function you should read the
- :ref:`user guide about ORC <io.orc>` and
- :ref:`install optional dependencies <install.warn_orc>`.
- * This function requires `pyarrow <https://arrow.apache.org/docs/python/>`
- _ library.
+  :ref:`user guide about ORC <io.orc>` and
+  :ref:`install optional dependencies <install.warn_orc>`.
+ * This function requires `pyarrow <https://arrow.apache.org/docs/python/>`_
+   library.
  * Unsigned integers, intervals, periods, sparse and categorical Dtypes
- are not supported yet.
+  are not supported yet.
  * Currently timezones in datetime columns are not preserved when a
- dataframe is converted into ORC files.
+  dataframe is converted into ORC files.
  """
  if index is None:
  index = df.index.names[0] is not None