More fixes - Sphinx build is clean now

Author: rgommers

spec/API_specification/dataframe_api/_types.py

@@ -21,7 +21,7 @@
 from enum import Enum
 
 array = TypeVar("array")
-DataFrame = TypeVar("DataFrame")
+Scalar = TypeVar("Scalar")
 device = TypeVar("device")
 dtype = TypeVar("dtype")
 SupportsDLPack = TypeVar("SupportsDLPack")

spec/API_specification/dataframe_api/dataframe_object.py

@@ -4,12 +4,10 @@
 from .column_object import Column
 from .groupby_object import GroupBy
 
-
-__all__ = ["DataFrame"]
+from ._types import Scalar
 
 
-class Scalar:
-    "A class to represent Python scalars"
+__all__ = ["DataFrame"]
 
 
 class DataFrame:

spec/conf.py

@@ -65,19 +65,20 @@
 # them don't actually refer to anything that we have a document for.
 nitpick_ignore = [
     ('py:class', 'array'),
-    ('py:class', 'dataframe'),
+    ('py:class', 'DataFrame'),
     ('py:class', 'device'),
     ('py:class', 'dtype'),
     ('py:class', 'NestedSequence'),
     ('py:class', 'collections.abc.Sequence'),
     ('py:class', 'PyCapsule'),
     ('py:class', 'enum.Enum'),
     ('py:class', 'ellipsis'),
+    ('py:class', 'Scalar'),
 ]
 # NOTE: this alias handling isn't used yet - added in anticipation of future
-#       need based on array API aliases.
+#       need based on dataframe API aliases.
 # In dataframe_object.py we have to use aliased names for some types because they
-# would otherwise refer back to method objects of array
+# would otherwise refer back to method objects of `dataframe`
 autodoc_type_aliases = {
     'dataframe': 'dataframe',
     'Device': 'device',