diff --git a/third_party/bigframes_vendored/pandas/core/series.py b/third_party/bigframes_vendored/pandas/core/series.py
index 10a4c195ab..1aa4ffffbb 100644
--- a/third_party/bigframes_vendored/pandas/core/series.py
+++ b/third_party/bigframes_vendored/pandas/core/series.py
@@ -2711,6 +2711,31 @@ def argmax(self):
 
         If the minimum is achieved in multiple locations, the first row position is returned.
 
+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+        Consider dataset containing cereal calories.
+
+            >>> s = bpd.Series({'Corn Flakes': 100.0, 'Almond Delight': 110.0,
+            ...                 'Cinnamon Toast Crunch': 120.0, 'Cocoa Puff': 110.0})
+            >>> s
+            Corn Flakes              100.0
+            Almond Delight           110.0
+            Cinnamon Toast Crunch    120.0
+            Cocoa Puff               110.0
+            dtype: Float64
+
+            >>> s.argmax()
+            2
+
+            >>> s.argmin()
+            0
+
+        The maximum cereal calories is the third element and the minimum cereal
+        calories is the first element, since series is zero-indexed.
+
         Returns:
             Series: Row position of the maximum value.
         """
@@ -2722,6 +2747,31 @@ def argmin(self):
 
         If the maximum is achieved in multiple locations, the first row position is returned.
 
+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+        Consider dataset containing cereal calories.
+
+            >>> s = bpd.Series({'Corn Flakes': 100.0, 'Almond Delight': 110.0,
+            ...                 'Cinnamon Toast Crunch': 120.0, 'Cocoa Puff': 110.0})
+            >>> s
+            Corn Flakes              100.0
+            Almond Delight           110.0
+            Cinnamon Toast Crunch    120.0
+            Cocoa Puff               110.0
+            dtype: Float64
+
+            >>> s.argmax()
+            2
+
+            >>> s.argmin()
+            0
+
+        The maximum cereal calories is the third element and the minimum cereal
+        calories is the first element, since series is zero-indexed.
+
         Returns:
             Series: Row position of the minimum value.
         """
@@ -2971,6 +3021,19 @@ def is_monotonic_increasing(self) -> bool:
         """
         Return boolean if values in the object are monotonically increasing.
 
+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+            >>> s = bpd.Series([1, 2, 2])
+            >>> s.is_monotonic_increasing
+            True
+
+            >>> s = bpd.Series([3, 2, 1])
+            >>> s.is_monotonic_increasing
+            False
+
         Returns:
             bool: Boolean.
         """
@@ -2981,6 +3044,19 @@ def is_monotonic_decreasing(self) -> bool:
         """
         Return boolean if values in the object are monotonically decreasing.
 
+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+            >>> s = bpd.Series([3, 2, 2, 1])
+            >>> s.is_monotonic_decreasing
+            True
+
+            >>> s = bpd.Series([1, 2, 3])
+            >>> s.is_monotonic_decreasing
+            False
+
         Returns:
             bool: Boolean.
         """