class_docstr: An MPL axis-like object that displays a cut of 3D volumes
      
class_docstr_tok: ["An","MPL","axis-like","object","that","displays","a","cut","of","3D","volumes"]
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 matplotlib
  import matplotlib.pyplot
  import numpy
  from matplotlib import transforms
  from nipy.utils import is_iterable
  from ..datasets import VolumeImg
  from .None import cm
  from .coord_tools import coord_transform, find_cut_coords, get_bounds, get_mask_bounds
  from .edge_detect import _edge_map
label_desc: Use image node_id 4 for calling the CutAxes obj's underlying member method code with example usage: obj.get_object_bounds() and returns: xmin,  xmax,  ymin,  ymax, unknown,  int,  unknown,  int