davidhassell
diff --git a/‎cf/data/data.py‎
Lines changed: 31 additions & 32 deletions b/‎cf/data/data.py‎
Lines changed: 31 additions & 32 deletions
@@ -795,7 +795,7 @@ def __getitem__(self, indices):
         If the shape of the data is unknown then it is calculated
         immediately by executing all delayed operations.
 
-        . seealso:: `vindex`, `__keepdims_indexing__`,
+        . seealso:: `__keepdims_indexing__`,
                     `__orthogonal_indexing__`, `__setitem__`
 
         :Returns:
@@ -5205,38 +5205,37 @@ def mask(self):
 
         return mask_data_obj
 
-#    @property
-    def vindex(self, *indices):
-        """Vectorized indexing with broadcasting.
-
-        This is equivalent to numpy’s advanced indexing, using arrays
-        that are broadcast against each other. This allows for
-        pointwise indexing.
-
-        .. versionadded:: TODOUGRIDVER
-
-        .. seealso:: `__getitem__`
-
-        **Examples**
-
-        >>> d = cf.Data([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
-        >>> print(d.vindex([0, 1, 2], [0, 1, 2]).array)
-        [1 5 9]
-        >>> print(d.vindex(0, [0, 0, 1]).array)
-        [1 1 2]
-
-        """
-        new = self.copy(array=False)
-        dx = self.to_dask_array()
-        dx = dx.vindex[indices]
-        new._set_dask(dx)
-        
-        if self.nc_hdf5_chunksizes() and new.shape != self.shape:
-            # Delete hdf5 chunksizes when the shape has changed.
-            new.nc_clear_hdf5_chunksizes()
+    #    def vindex(self, *indices):
+    #        """Vectorized indexing with broadcasting.
+    #
+    #        This is equivalent to numpy’s advanced indexing, using arrays
+    #        that are broadcast against each other. This allows for
+    #        pointwise indexing.
+    #
+    #        .. versionadded:: TODOUGRIDVER
+    #
+    #        .. seealso:: `__getitem__`
+    #
+    #        **Examples**
+    #
+    #        >>> d = cf.Data([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
+    #        >>> print(d.vindex([0, 1, 2], [0, 1, 2]).array)
+    #        [1 5 9]
+    #        >>> print(d.vindex(0, [0, 0, 1]).array)
+    #        [1 1 2]
+    #
+    #        """
+    #        new = self.copy(array=False)
+    #        dx = self.to_dask_array()
+    #        dx = dx.vindex[indices]
+    #        new._set_dask(dx)
+    #
+    #        if self.nc_hdf5_chunksizes() and new.shape != self.shape:
+    #            # Delete hdf5 chunksizes when the shape has changed.
+    #            new.nc_clear_hdf5_chunksizes()
+    #
+    #        return new
 
-        return new
-    
     @_inplace_enabled(default=False)
     def arctan(self, inplace=False):
         """Take the trigonometric inverse tangent of the data element-