ENH: Drop fancy indexing

Author: effigies

nibabel/minc1.py

@@ -342,6 +342,7 @@ def _check_slicing(self, slicer, return_spatial=False):
             Validated slicer object that will slice image's `dataobj`
             without collapsing spatial dimensions
         '''
+        slicer = canonical_slicers(slicer, self.shape)
         try:
             all_slices = super(Minc1Image, self)._check_slicing(slicer, False)
             sp_dims = self._spatial_dims

nibabel/spatialimages.py

@@ -337,27 +337,13 @@ def __init__(self, img):
 
         def __getitem__(self, slicer):
             try:
-                slicer = self.img._check_slicing(self._arr_to_slice(slicer))
+                slicer = self.img._check_slicing(slicer)
             except ValueError as err:
                 raise IndexError(*err.args)
             dataobj = self.img.dataobj[slicer]
             affine = self.img._slice_affine(slicer)
             return self.img.__class__(dataobj.copy(), affine, self.img.header)
 
-        def _arr_to_slice(self, slicer):
-            ''' Convert single item sequence indices to slices '''
-            if not isinstance(slicer, tuple):
-                slicer = (slicer,)
-
-            out = []
-            for subslicer in slicer:
-                arr = np.asarray(subslicer)
-                if arr.shape == (1,):
-                    subslicer = slice(arr[0], arr[0] + 1)
-                out.append(subslicer)
-
-            return tuple(out)
-
     def __init__(self, dataobj, affine, header=None,
                  extra=None, file_map=None):
         ''' Initialize image