b7d99dc4d489ff2ec135606cbfa46ce0288fed21,nilearn/plotting/slicers.py,BaseSlicer,init_with_figure,#Any#Any#Any#Any#Any#Any#Any#Any#Any#,210

Before Change

        // deal with "fake" 4D images
        if img is not None and img is not False and len(img.shape) > 3:
            if len(img.shape) == 4 and img.shape[3] == 1:
                data = img.get_data()
                data = data[:,:,:,0]
                img = nibabel.Nifti1Image(data, img.get_affine())
            else:
                raise ValueError("The provided volume has %d dimensions. Only" \
                                 " three dimensional volumes volumes are " \
                                 "supported."%len(data.shape))

After Change

                         cut_coords=None, figure=None, axes=None,
                         black_bg=False, leave_space=False, colorbar=False):
        // deal with "fake" 4D images
        if img is not None and img is not False:
            img = _utils.check_niimg(img, ensure_3d=True)

        cut_coords = cls.find_cut_coords(img, threshold, cut_coords)

        if isinstance(axes, pl.Axes) and figure is None:
            figure = axes.figure

Instances