class_docstr: An MPL axis-like object that displays a 2D view of 3D volumes.
  
  Parameters
  ----------
  %(ax)s
  direction : {'x', 'y', 'z'}
      The directions of the view.
  
  coord : :obj:`float`
      The coordinate along the direction of the cut.
  %(radiological)s
class_docstr_tok: ["An","MPL","axis-like","object","that","displays","a","2D","view","of","3D","volumes",".","Parameters","--","--","--","--","--","%","(","ax",")","s","direction",":","{","'","x","'",",","'","y","'",",","'","z","'","}","The","directions","of","the","view",".","coord",":",":","obj",":","`","float","`","The","coordinate","along","the","direction","of","the","cut",".","%","(","radiological",")","s"]
docstr: Return the bounds of the objects on this axes.
docstr_tok: ["Return","the","bounds","of","the","objects","on","this","axes","."]
code: def get_object_bounds(self):
      """Return the bounds of the objects on this axes."""
      if len(self._object_bounds) == 0:
          # Nothing plotted yet
          return -0.01, 0.01, -0.01, 0.01
      xmins, xmaxs, ymins, ymaxs = np.array(self._object_bounds).T
      xmax = max(xmaxs.max(), xmins.max())
      xmin = min(xmins.min(), xmaxs.min())
      ymax = max(ymaxs.max(), ymins.max())
      ymin = min(ymins.min(), ymaxs.min())
  
      return xmin, xmax, ymin, ymax
  
imports: import numbers
  import matplotlib.pyplot
  import numpy
  from matplotlib.colors import Normalize
  from matplotlib.font_manager import FontProperties
  from matplotlib.lines import Line2D
  from matplotlib.patches import FancyArrow
  from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
  from nilearn._utils.docs import fill_doc
  from nilearn.image import coord_transform
  from nilearn.plotting.glass_brain import plot_brain_schematics
label_desc: Use image node_id 5 for calling the BaseAxes obj's underlying member method code with example usage: obj.get_object_bounds() and returns: xmin,  xmax,  ymin,  ymax, unknown,  int,  unknown,  int