DOC: Remove references to bfill, ffill, pad, and backfill in limit_direction (pandas-dev#57720)

* Remove references to `bfill`, `ffill`, `pad`, `backfill` from `limit_direction`

* Add `bfill` and `ffill` to the "See Also" section

* Add `bfill` and `ffill` to the "See Also" section

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

---------

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

Author: 2 people

pandas/core/resample.py

@@ -819,20 +819,6 @@ def interpolate(
         limit_direction : {{'forward', 'backward', 'both'}}, Optional
             Consecutive NaNs will be filled in this direction.
 
-            If limit is specified:
-                * If 'method' is 'pad' or 'ffill', 'limit_direction' must be 'forward'.
-                * If 'method' is 'backfill' or 'bfill', 'limit_direction' must be
-                  'backwards'.
-
-            If 'limit' is not specified:
-                * If 'method' is 'backfill' or 'bfill', the default is 'backward'
-                * else the default is 'forward'
-
-                raises ValueError if `limit_direction` is 'forward' or 'both' and
-                    method is 'backfill' or 'bfill'.
-                raises ValueError if `limit_direction` is 'backward' or 'both' and
-                    method is 'pad' or 'ffill'.
-
         limit_area : {{`None`, 'inside', 'outside'}}, default None
             If limit is specified, consecutive NaNs will be filled with this
             restriction.
@@ -860,6 +846,8 @@ def interpolate(
         core.resample.Resampler.asfreq: Return the values at the new freq,
             essentially a reindex.
         DataFrame.interpolate: Fill NaN values using an interpolation method.
+        DataFrame.bfill : Backward fill NaN values in the resampled data.
+        DataFrame.ffill : Forward fill NaN values.
 
         Notes
         -----