Fix errors for Index.drop, Index.reindex (#58454)

Author: shriyakalakata

Diff for: ci/code_checks.sh

@@ -106,7 +106,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Index PR07" \
         -i "pandas.Index.append PR07,RT03,SA01" \
         -i "pandas.Index.difference PR07,RT03,SA01" \
-        -i "pandas.Index.drop PR07,SA01" \
         -i "pandas.Index.duplicated RT03" \
         -i "pandas.Index.get_indexer PR07,SA01" \
         -i "pandas.Index.get_indexer_for PR01,SA01" \
@@ -120,7 +119,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Index.nunique RT03" \
         -i "pandas.Index.putmask PR01,RT03" \
         -i "pandas.Index.ravel PR01,RT03" \
-        -i "pandas.Index.reindex PR07" \
         -i "pandas.Index.slice_indexer PR07,RT03,SA01" \
         -i "pandas.Index.str PR01,SA01" \
         -i "pandas.Index.symmetric_difference PR07,RT03,SA01" \

Diff for: pandas/core/indexes/base.py

@@ -3953,6 +3953,7 @@ def reindex(
         Parameters
         ----------
         target : an iterable
+            An iterable containing the values to be used for creating the new index.
         method : {None, 'pad'/'ffill', 'backfill'/'bfill', 'nearest'}, optional
             * default: exact matches only.
             * pad / ffill: find the PREVIOUS index value if no exact match.
@@ -6686,6 +6687,8 @@ def drop(
         Parameters
         ----------
         labels : array-like or scalar
+            Array-like object or a scalar value, representing the labels to be removed
+            from the Index.
         errors : {'ignore', 'raise'}, default 'raise'
             If 'ignore', suppress error and existing labels are dropped.
 
@@ -6699,6 +6702,11 @@ def drop(
         KeyError
             If not all of the labels are found in the selected axis
 
+        See Also
+        --------
+        Index.dropna : Return Index without NA/NaN values.
+        Index.drop_duplicates : Return Index with duplicate values removed.
+
         Examples
         --------
         >>> idx = pd.Index(["a", "b", "c"])