docs: add code samples for Series.{between, cumprod}

third_party/bigframes_vendored/pandas/core/series.py

@@ -1774,6 +1774,42 @@ def between(
  corresponding Series element is between the boundary values `left` and
  `right`. NA values are treated as `False`.
 
+ **Examples:**
+
+ >>> import bigframes.pandas as bpd
+ >>> bpd.options.display.progress_bar = None
+
+ Boundary values are included by default:
+
+ >>> s = bpd.Series([2, 0, 4, 8, np.nan])
+ >>> s.between(1, 4)
+ 0 True
+ 1 False
+ 2 True
+ 3 False
+ 4 <NA>
+ dtype: boolean
+
+ With inclusive set to "neither" boundary values are excluded:
+
+ >>> s.between(1, 4, inclusive="neither")
+ 0 True
+ 1 False
+ 2 False
+ 3 False
+ 4 <NA>
+ dtype: boolean
+
+ left and right can be any scalar value:
+
+ >>> s = bpd.Series(['Alice', 'Bob', 'Carol', 'Eve'])
+ >>> s.between('Anna', 'Daniel')
+ 0 False
+ 1 True
+ 2 True
+ 3 False
+ dtype: boolean
+
  Args:
  left (scalar or list-like):
  Left boundary.
@@ -1796,6 +1832,30 @@ def cumprod(self):
  Returns a DataFrame or Series of the same size containing the cumulative
  product.
 
+ **Examples:**
+
+ >>> import bigframes.pandas as bpd
+ >>> bpd.options.display.progress_bar = None
+
+ >>> s = bpd.Series([2, np.nan, 5, -1, 0])
+ >>> s
+ 0 2.0
+ 1 <NA>
+ 2 5.0
+ 3 -1.0
+ 4 0.0
+ dtype: Float64
+
+ By default, NA values are ignored.
+
+ >>> s.cumprod()
+ 0 2.0
+ 1 <NA>
+ 2 10.0
+ 3 -10.0
+ 4 0.0
+ dtype: Float64
+
  Returns:
  bigframes.series.Series: Return cumulative sum of scalar or Series.
  """