DOC: fixing SA01 errors for Index: name, dtype, and equals (pandas-dev#58355)

* DOC: fixing SA01 errors for Index: name, dtype, and equals

* fixing Blank line contains whitespace error

Author: KeiOshima

ci/code_checks.sh

@@ -136,10 +136,8 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Index.drop_duplicates RT03" \
         -i "pandas.Index.droplevel RT03,SA01" \
         -i "pandas.Index.dropna RT03,SA01" \
-        -i "pandas.Index.dtype SA01" \
         -i "pandas.Index.duplicated RT03" \
         -i "pandas.Index.empty GL08" \
-        -i "pandas.Index.equals SA01" \
         -i "pandas.Index.fillna RT03" \
         -i "pandas.Index.get_indexer PR07,SA01" \
         -i "pandas.Index.get_indexer_for PR01,SA01" \
@@ -153,7 +151,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Index.item SA01" \
         -i "pandas.Index.join PR07,RT03,SA01" \
         -i "pandas.Index.memory_usage RT03" \
-        -i "pandas.Index.name SA01" \
         -i "pandas.Index.names GL08" \
         -i "pandas.Index.nunique RT03" \
         -i "pandas.Index.putmask PR01,RT03" \

pandas/core/indexes/base.py

@@ -976,6 +976,10 @@ def dtype(self) -> DtypeObj:
         """
         Return the dtype object of the underlying data.
 
+        See Also
+        --------
+        Index.inferred_type: Return a string of the type inferred from the values.
+
         Examples
         --------
         >>> idx = pd.Index([1, 2, 3])
@@ -1638,6 +1642,11 @@ def name(self) -> Hashable:
         """
         Return Index or MultiIndex name.
 
+        See Also
+        --------
+        Index.set_names: Able to set new names partially and by level.
+        Index.rename: Able to set new names partially and by level.
+
         Examples
         --------
         >>> idx = pd.Index([1, 2, 3], name="x")
@@ -5181,6 +5190,12 @@ def equals(self, other: Any) -> bool:
             True if "other" is an Index and it has the same elements and order
             as the calling index; False otherwise.
 
+        See Also
+        --------
+        Index.identical: Checks that object attributes and types are also equal.
+        Index.has_duplicates: Check if the Index has duplicate values.
+        Index.is_unique: Return if the index has unique values.
+
         Examples
         --------
         >>> idx1 = pd.Index([1, 2, 3])