BF: adapt sphinx doctests to numpy 1.12

Integer indices, array returned instead of memmap.

Author: matthew-brett

doc/source/coordinate_systems.rst

@@ -97,11 +97,11 @@ middle voxel in the EPI data array like this:
     :nofigs:
 
     >>> n_i, n_j, n_k = epi_img_data.shape
-    >>> center_i = (n_i - 1) / 2.
-    >>> center_j = (n_j - 1) / 2.
-    >>> center_k = (n_k - 1) / 2.
+    >>> center_i = (n_i - 1) // 2  # // for integer division
+    >>> center_j = (n_j - 1) // 2
+    >>> center_k = (n_k - 1) // 2
     >>> center_i, center_j, center_k
-    (26.0, 30.0, 16.0)
+    (26, 30, 16)
     >>> center_vox_value = epi_img_data[center_i, center_j, center_k]
     >>> center_vox_value
     81.549287796020508

doc/source/nifti_images.rst

@@ -401,7 +401,7 @@ Now we save the image and load it again:
 The data array has the scaling applied:
 
 >>> scaled_img.get_data()
-memmap([[[ 10.,  12.,  14.,  16.],
+...([[[ 10.,  12.,  14.,  16.],
         [ 18.,  20.,  22.,  24.],
         [ 26.,  28.,  30.,  32.]],
 <BLANKLINE>