@@ -910,7 +910,7 @@ def max(self, *args, **kwargs):
910910 return self ._apply ('roll_max' , 'max' , ** kwargs )
911911
912912 _shared_docs ['min' ] = dedent ("""
913- Calculate the %(name)s minimum.
913+ Calculate the %(name)s minimum.
914914
915915 Parameters
916916 ----------
@@ -922,7 +922,7 @@ def max(self, *args, **kwargs):
922922 Series or DataFrame
923923 Returned object type is determined by the caller of the %(name)s
924924 calculation.
925-
925+
926926 See Also
927927 --------
928928 Series.%(name)s : Calling object with a Series
@@ -932,17 +932,9 @@ def max(self, *args, **kwargs):
932932
933933 Examples
934934 --------
935- The below example will show a rolling calculation
936- with a window size of 3.
935+ Performing a rolling minimum with a window size of 3.
937936
938- >>> s = pd.Series([4,3,5,2,6])
939- >>> s
940- 0 4
941- 1 3
942- 2 5
943- 3 2
944- 4 6
945- dtype: int64
937+ >>> s = pd.Series([4, 3, 5, 2, 6])
946938 >>> s.rolling(3).min()
947939 0 NaN
948940 1 NaN
@@ -951,7 +943,7 @@ def max(self, *args, **kwargs):
951943 4 2.0
952944 dtype: float64
953945 """ )
954-
946+
955947 def min (self , * args , ** kwargs ):
956948 nv .validate_window_func ('min' , args , kwargs )
957949 return self ._apply ('roll_min' , 'min' , ** kwargs )
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