code: def get_projector(display_mode):
      """Retrieve a projector from a given display mode.
  
      Parameters
      ----------
      display_mode : {"ortho", "xz", "yz", "yx", "x", "y",\
      "z", "lzry", "lyrz", "lyr", "lzr", "lr", "l", "r"}
          The desired display mode.
  
      Returns
      -------
      projector : :class:`~nilearn.plotting.displays.OrthoProjector`\
      or instance of derived classes
  
          The projector corresponding to the requested display mode:
  
              - "ortho": Returns an
                :class:`~nilearn.plotting.displays.OrthoProjector`.
              - "xz": Returns a
                :class:`~nilearn.plotting.displays.XZProjector`.
              - "yz": Returns a
                :class:`~nilearn.plotting.displays.YZProjector`.
              - "yx": Returns a
                :class:`~nilearn.plotting.displays.YXProjector`.
              - "x": Returns a
                :class:`~nilearn.plotting.displays.XProjector`.
              - "y": Returns a
                :class:`~nilearn.plotting.displays.YProjector`.
              - "z": Returns a
                :class:`~nilearn.plotting.displays.ZProjector`.
              - "lzry": Returns a
                :class:`~nilearn.plotting.displays.LZRYProjector`.
              - "lyrz": Returns a
                :class:`~nilearn.plotting.displays.LYRZProjector`.
              - "lyr": Returns a
                :class:`~nilearn.plotting.displays.LYRProjector`.
              - "lzr": Returns a
                :class:`~nilearn.plotting.displays.LZRProjector`.
              - "lr": Returns a
                :class:`~nilearn.plotting.displays.LRProjector`.
              - "l": Returns a
                :class:`~nilearn.plotting.displays.LProjector`.
              - "z": Returns a
                :class:`~nilearn.plotting.displays.RProjector`.
  
      """
      return _get_create_display_fun(display_mode, PROJECTORS)
  
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 1 for calling a global function with example usage: get_projector(display_mode) and returns: _get_create_display_fun