Clarify documentation for asfreq

Author: Pranav-Wadhwa

pandas/core/generic.py

@@ -8452,8 +8452,8 @@ def asfreq(
         will map one-to-one to the new index).
 
         Otherwise, the new index will be equivalent to ``pd.date_range(start, end,
-        freq=freq)`` where ``start`` and ``end`` are, respectively, the first and
-        last entries in the original index (see :func:`pandas.date_range`). The
+        freq=freq)`` where ``start`` and ``end`` are, respectively, the min and
+        max entries in the original index (see :func:`pandas.date_range`). The
         values corresponding to any timesteps in the new index which were not present
         in the original index will be null (``NaN``), unless a method for filling
         such unknowns is provided (see the ``method`` parameter below).
@@ -8471,7 +8471,7 @@ def asfreq(
             does not fill NaNs that already were present):
 
             * 'pad' / 'ffill': propagate last valid observation forward to next
-              valid
+              valid based on the order of the index
             * 'backfill' / 'bfill': use NEXT valid observation to fill.
         how : {{'start', 'end'}}, default end
             For PeriodIndex only (see PeriodIndex.asfreq).