DOC Fix EX01 issues in docstrings (#51533)

Author: DeaMariaLeon

ci/code_checks.sh

@@ -86,10 +86,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
     MSG='Partially validate docstrings (EX01)' ;  echo $MSG
     $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX01 --ignore_functions \
         pandas.Series.index \
-        pandas.Series.nbytes \
-        pandas.Series.ndim \
-        pandas.Series.size \
-        pandas.Series.T \
         pandas.Series.hasnans \
         pandas.Series.to_list \
         pandas.Series.__iter__ \

pandas/core/base.py

@@ -301,6 +301,20 @@ def transpose(self: _T, *args, **kwargs) -> _T:
         transpose,
         doc="""
         Return the transpose, which is by definition self.
+
+        Examples
+        --------
+        >>> s = pd.Series(['Ant', 'Bear', 'Cow'])
+        >>> s
+        0     Ant
+        1    Bear
+        2     Cow
+        dtype: object
+        >>> s.T
+        0     Ant
+        1    Bear
+        2     Cow
+        dtype: object
         """,
     )
 
@@ -325,6 +339,17 @@ def __len__(self) -> int:
     def ndim(self) -> Literal[1]:
         """
         Number of dimensions of the underlying data, by definition 1.
+
+        Examples
+        --------
+        >>> s = pd.Series(['Ant', 'Bear', 'Cow'])
+        >>> s
+        0     Ant
+        1    Bear
+        2     Cow
+        dtype: object
+        >>> s.ndim
+        1
         """
         return 1
 
@@ -351,13 +376,35 @@ def item(self):
     def nbytes(self) -> int:
         """
         Return the number of bytes in the underlying data.
+
+        Examples
+        --------
+        >>> s = pd.Series(['Ant', 'Bear', 'Cow'])
+        >>> s
+        0     Ant
+        1    Bear
+        2     Cow
+        dtype: object
+        >>> s.nbytes
+        24
         """
         return self._values.nbytes
 
     @property
     def size(self) -> int:
         """
         Return the number of elements in the underlying data.
+
+        Examples
+        --------
+        >>> s = pd.Series(['Ant', 'Bear', 'Cow'])
+        >>> s
+        0     Ant
+        1    Bear
+        2     Cow
+        dtype: object
+        >>> s.size
+        3
         """
         return len(self._values)