DOC: Clarify where to the additional arguments for some win_types (#34615)

* DOC: Clarify some syntax when using win_types

DOC: Clarify where to the additional arguments for some win_types
For example, std needs to specify when win_types is gaussian. However, std should be specified in the operation argument, not as one of the rolling arguments. This change is to clarify this point. 

Closes: #34593

* DOC: Clarify where to the additional arguments for some win_types

Edit: 711add5 First Commit
Original issue: #34615

* DOC: Clarify where to the additional arguments for some win_types

Edit: a3e38ac Second Commit 

What's new: I shortened line 935 so that each line is less than 88 characters. 

Original Issue: #34615

* Revert "DOC: Clarify where to the additional arguments for some win_types"

This reverts commit 45be538.

* Revert "Revert "DOC: Clarify where to the additional arguments for some win_types""

This reverts commit 05ed0eb.

* DOC: Remove whitespace in docstring

* DOC: Remove indent of line934

* Update pandas/core/window/rolling.py

Co-authored-by: Tom Augspurger <[email protected]>

Author: linnndachen

pandas/core/window/rolling.py

@@ -922,16 +922,19 @@ class Window(_Window):
     * ``blackmanharris``
     * ``nuttall``
     * ``barthann``
-    * ``kaiser`` (needs beta)
-    * ``gaussian`` (needs std)
-    * ``general_gaussian`` (needs power, width)
-    * ``slepian`` (needs width)
-    * ``exponential`` (needs tau), center is set to None.
+    * ``kaiser`` (needs parameter: beta)
+    * ``gaussian`` (needs parameter: std)
+    * ``general_gaussian`` (needs parameters: power, width)
+    * ``slepian`` (needs parameter: width)
+    * ``exponential`` (needs parameter: tau), center is set to None.
 
     If ``win_type=None`` all points are evenly weighted. To learn more about
     different window types see `scipy.signal window functions
     <https://docs.scipy.org/doc/scipy/reference/signal.html#window-functions>`__.
 
+    Certain window types require additional parameters to be passed. Please see
+    the third example below on how to add the additional parameters.
+
     Examples
     --------
     >>> df = pd.DataFrame({'B': [0, 1, 2, np.nan, 4]})