diff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py
index 1699fbd36e2..d2ac37e0e23 100644
--- a/xarray/core/dataarray.py
+++ b/xarray/core/dataarray.py
@@ -2235,8 +2235,8 @@ def interp(
             New coordinate can be a scalar, array-like or DataArray.
             If DataArrays are passed as new coordinates, their dimensions are
             used for the broadcasting. Missing values are skipped.
-        method : "linear", "nearest", "zero", "slinear", "quadratic", "cubic",
-            "quintic", "polynomial", "pchip", "barycentric", "krogh", "akima", "makima"
+        method : { "linear", "nearest", "zero", "slinear", "quadratic", "cubic", \
+            "quintic", "polynomial", "pchip", "barycentric", "krogh", "akima", "makima" }
             Interpolation method to use (see descriptions above).
         assume_sorted : bool, default: False
             If False, values of x can be in any order and they are sorted
@@ -2390,8 +2390,8 @@ def interp_like(
             Object with an 'indexes' attribute giving a mapping from dimension
             names to an 1d array-like, which provides coordinates upon
             which to index the variables in this dataset. Missing values are skipped.
-        method : "linear", "nearest", "zero", "slinear", "quadratic", "cubic",
-            "quintic", "polynomial", "pchip", "barycentric", "krogh", "akima", "makima"
+        method : { "linear", "nearest", "zero", "slinear", "quadratic", "cubic", \
+            "quintic", "polynomial", "pchip", "barycentric", "krogh", "akima", "makima" }
             Interpolation method to use (see descriptions above).
         assume_sorted : bool, default: False
             If False, values of coordinates that are interpolated over can be
diff --git a/xarray/core/dataset.py b/xarray/core/dataset.py
index 3193070b12b..d2ca11c518a 100644
--- a/xarray/core/dataset.py
+++ b/xarray/core/dataset.py
@@ -3903,8 +3903,8 @@ def interp(
             New coordinate can be a scalar, array-like or DataArray.
             If DataArrays are passed as new coordinates, their dimensions are
             used for the broadcasting. Missing values are skipped.
-        method : "linear", "nearest", "zero", "slinear", "quadratic", "cubic",
-            "quintic", "polynomial", "pchip", "barycentric", "krogh", "akima", "makima"
+        method : { "linear", "nearest", "zero", "slinear", "quadratic", "cubic", \
+            "quintic", "polynomial", "pchip", "barycentric", "krogh", "akima", "makima" }
             Interpolation method to use (see descriptions above).
         assume_sorted : bool, default: False
             If False, values of coordinates that are interpolated over can be
@@ -4195,8 +4195,8 @@ def interp_like(
             Object with an 'indexes' attribute giving a mapping from dimension
             names to an 1d array-like, which provides coordinates upon
             which to index the variables in this dataset. Missing values are skipped.
-        method : "linear", "nearest", "zero", "slinear", "quadratic", "cubic",
-            "quintic", "polynomial", "pchip", "barycentric", "krogh", "akima", "makima"
+        method : { "linear", "nearest", "zero", "slinear", "quadratic", "cubic", \
+            "quintic", "polynomial", "pchip", "barycentric", "krogh", "akima", "makima" }
             Interpolation method to use (see descriptions above).
         assume_sorted : bool, default: False
             If False, values of coordinates that are interpolated over can be