class_docstr: A class to create linked axes for plotting orthogonal projections     of 3D maps.
  
  This visualization mode can be activated from
  :func:`~nilearn.plotting.plot_glass_brain`, by setting
  ``display_mode='ortho'``:
  
    .. code-block:: python
  
        from nilearn.datasets import load_mni152_template
        from nilearn.plotting import plot_glass_brain
  
        img = load_mni152_template()
        # display is an instance of the OrthoProjector class
        display = plot_glass_brain(img, display_mode="ortho")
  
  Attributes
  ----------
  axes : :obj:`dict` of :class:`~nilearn.plotting.displays.GlassBrainAxes`
      The 3 axes used to plot each view ('x', 'y', and 'z').
  
  frame_axes : :class:`~matplotlib.axes.Axes`
      The axes framing the whole set of views.
docstr: Do nothing.
  
  It does not make sense to draw crosses for the position of
  the cuts since we are taking the max along one axis.
docstr_tok: ["Do","nothing",".","It","does","not","make","sense","to","draw","crosses","for","the","position","of","the","cuts","since","we","are","taking","the","max","along","one","axis","."]
code: def draw_cross(self, cut_coords=None, **kwargs):
      """Do nothing.
  
      It does not make sense to draw crosses for the position of
      the cuts since we are taking the max along one axis.
      """
      pass
  
imports: import warnings
  import matplotlib.pyplot
  import numpy
  from matplotlib import cm
  from scipy.sparse import issparse
  from scipy.stats import scoreatpercentile
  from nilearn._utils.param_validation import check_threshold
  from nilearn.plotting import cm
  from nilearn.plotting.displays._axes import GlassBrainAxes
  from nilearn.plotting.displays._slicers import OrthoSlicer, _get_create_display_fun
label_desc: Use image node_id 2 for calling the OrthoProjector obj's underlying member method code with example usage: obj.draw_cross(cut_coords) without return types