def __call_internal__(self, *args, **kwargs):
        g = Pipeline.__call_internal__(self, *args, **kwargs)
        gs = g.glyph.glyph_source
        # Use a cube source for glyphs.
        if not 'mode' in kwargs:
            gs.glyph_source = gs.glyph_dict['cube_source']
        # Position the glyph tail on the point.
        gs.glyph_position = 'tail'
        gs.glyph_source.center = (0.0, 0.0, 0.5)
        g.glyph.glyph.orient = False
        if not 'color' in kwargs:
            g.glyph.color_mode = 'color_by_scalar'
        if not 'scale_mode' in kwargs:
            g.glyph.scale_mode = 'scale_by_vector_components'
        g.glyph.glyph.clamping = False
        # The auto-scaling code. It involves finding the minimum
        # distance between points, which can be very expensive. We
        # shortcut this calculation for structured data
        if len(args) == 1 or self.auto_scale:
            min_axis_distance = 1
        else:
            x, y, z = g.mlab_source.x, g.mlab_source.y, g.mlab_source.z
            min_axis_distance = \
                    tools._min_axis_distance(x, y, z)
        scale_factor = g.glyph.glyph.scale_factor * min_axis_distance
        lateral_scale = kwargs.pop('lateral_scale', self.lateral_scale)
        try:
            g.glyph.glyph_source.glyph_source.y_length = \
                    lateral_scale / (scale_factor)
            g.glyph.glyph_source.glyph_source.x_length = \
                    lateral_scale / (scale_factor)
        except TraitError:
            " Not all types of glyphs have controlable y_length and x_length"

        return g
Override the call to be able to scale automatically the axis.
dataset/ETHPy150Open enthought/mayavi/mayavi/tools/helper_functions.py/BarChart.__call_internal__