def METHOD_NAME(
    data_source, field=None, fname=None, sigma_clip=None, lens_type="plane-parallel"
):
    r"""Create a simple volume rendering of a data source.
    A helper function that creates a default camera view, transfer
    function, and image size. Using these, it returns an image and
    an instance of the Scene class, allowing one to further modify
    their rendering.
    Parameters
    ----------
    data_source : :class:`yt.data_objects.data_containers.AMR3DData`
        This is the source to be rendered, which can be any arbitrary yt
        3D object
    field: string, tuple, optional
        The field to be rendered. If unspecified, this will use the
        default_field for your dataset's frontend--usually ('gas', 'density').
        A default transfer function will be built that spans the range of
        values for that given field, and the field will be logarithmically
        scaled if the field_info object specifies as such.
    fname: string, optional
        If specified, the resulting rendering will be saved to this filename
        in png format.
    sigma_clip: float, optional
        If specified, the resulting image will be clipped before saving,
        using a threshold based on sigma_clip multiplied by the standard
        deviation of the pixel values. Recommended values are between 2 and 6.
        Default: None
    lens_type: string, optional
        This specifies the type of lens to use for rendering. Current
        options are 'plane-parallel', 'perspective', and 'fisheye'. See
        :class:`yt.visualization.volume_rendering.lens.Lens` for details.
        Default: 'plane-parallel'
    Returns
    -------
    im: ImageArray
        The resulting image, stored as an ImageArray object.
    sc: Scene
        A :class:`yt.visualization.volume_rendering.scene.Scene` object
        that was constructed during the rendering. Useful for further
        modifications, rotations, etc.
    Examples
    --------
    >>> import yt
    >>> ds = yt.load("Enzo_64/DD0046/DD0046")
    >>> im, sc = yt.volume_render(ds, fname="test.png", sigma_clip=4.0)
    """
    sc = create_scene(data_source, field=field)
    im = sc.render()
    sc.save(fname=fname, sigma_clip=sigma_clip, render=False)
    return im, sc