DOC: Fix #24268 by updating description for keep in Series.nlargest

pandas/core/series.py

@@ -3100,11 +3100,16 @@ def nlargest(self, n=5, keep='first'):
             When there are duplicate values that cannot all fit in a
             Series of `n` elements:
 
-            - ``first`` : take the first occurrences based on the index order
-            - ``last`` : take the last occurrences based on the index order
+            - ``first`` : return the first `n` occurrences in order
+                of appearance.
+            - ``last`` : return the last `n` occurrences in reverse
+                order of appearance.
             - ``all`` : keep all occurrences. This can result in a Series of
                 size larger than `n`.
 
+            Regardless of `keep`, the result will be sorted
+            by the row label.
+
         Returns
         -------
         Series
@@ -3196,11 +3201,16 @@ def nsmallest(self, n=5, keep='first'):
             When there are duplicate values that cannot all fit in a
             Series of `n` elements:
 
-            - ``first`` : take the first occurrences based on the index order
-            - ``last`` : take the last occurrences based on the index order
+            - ``first`` : return the first `n` occurrences in order
+                of appearance.
+            - ``last`` : return the last `n` occurrences in reverse
+                order of appearance.
             - ``all`` : keep all occurrences. This can result in a Series of
                 size larger than `n`.
 
+            Regardless of `keep`, the result will be sorted
+            by the row label.
+
         Returns
         -------
         Series
@@ -3238,7 +3248,7 @@ def nsmallest(self, n=5, keep='first'):
         Monserat        5200
         dtype: int64
 
-        The `n` largest elements where ``n=5`` by default.
+        The `n` smallest elements where ``n=5`` by default.
 
         >>> s.nsmallest()
         Monserat      5200