change DeprecationWarning to FutureWarning

doc/release/1.7.0-notes.rst

@@ -29,7 +29,7 @@ such an array. See the documentation for np.diagonal for details.
 Similar to np.diagonal above, in a future version of numpy, indexing
 a record array by a list of field names will return a view onto the
 original array, instead of producing a copy as they do now. As with
-np.diagonal, numpy 1.7 produces a DeprecationWarning if it detects
+np.diagonal, numpy 1.7 produces a FutureWarning if it detects
 that you may be attemping to write to such an array. See the documentation
 for array indexing for details.
 

doc/source/reference/arrays.indexing.rst

@@ -339,7 +339,7 @@ Indexing into a record array can also be done with a list of field names,
 *e.g.* ``x[['field-name1','field-name2']]``. Currently this returns a new
 array containing a copy of the values in the fields specified in the list.
 As of NumPy 1.7, returning a copy is being deprecated in favor of returning
-a view. A copy will continue to be returned for now, but a DeprecationWarning
+a view. A copy will continue to be returned for now, but a FutureWarning
 will be issued when writing to the copy. If you depend on the current
 behavior, then we suggest copying the returned array explicitly, i.e. use
 x[['field-name1','field-name2']].copy(). This will work with both past and

numpy/core/tests/test_multiarray.py

@@ -1983,13 +1983,13 @@ def collect_warning_types(f, *args, **kwargs):
         # All the different functions raise a warning, but not an error, and
         # 'a' is not modified:
         assert_equal(collect_warning_types(a[['f1','f2']].__setitem__, 0, (10,20)),
-                     [DeprecationWarning])
+                     [FutureWarning])
         assert_equal(a, b)
         # Views also warn
         subset = a[['f1','f2']]
         subset_view = subset.view()
         assert_equal(collect_warning_types(subset_view['f1'].__setitem__, 0, 10),
-                     [DeprecationWarning])
+                     [FutureWarning])
         # But the write goes through:
         assert_equal(subset['f1'][0], 10)
         # Only one warning per multiple field indexing, though (even if there are