DOC: Additions/updates documentation for df.interpolate() methods #60227

pandas/core/generic.py

@@ -7668,8 +7668,12 @@ def interpolate(
             * 'linear': Ignore the index and treat the values as equally
               spaced. This is the only method supported on MultiIndexes.
             * 'time': Works on daily and higher resolution data to interpolate
-              given length of interval.
-            * 'index', 'values': use the actual numerical values of the index.
+              given length of interval. This interpolates values based on
+              time interval between observations.
+            * 'index': The interpolation uses the actual numerical values
+              of the df's index to linearly calculate missing value.
+            * 'value': Interpolation based on the actual numerical values
+              in the DataFrame, treating them as equally spaced along the index.
             * 'nearest', 'zero', 'slinear', 'quadratic', 'cubic',
               'barycentric', 'polynomial': Passed to
               `scipy.interpolate.interp1d`, whereas 'spline' is passed to