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: An MPL axis-like object that displays a cut of 3D volumes
  
  Parameters
  ==========
  ax: a MPL axes instance
      The axes in which the plots will be drawn
  direction: {'x', 'y', 'z'}
      The directions of the cut
  coord: float
      The coordinate along the direction of the cut
docstr_tok: ["An","MPL","axis-like","object","that","displays","a","cut","of","3D","volumes","Parameters","==========","ax",":","a","MPL","axes","instance","The","axes","in","which","the","plots","will","be","drawn","direction",":","{","'","x","'",",","'","y","'",",","'","z","'","}","The","directions","of","the","cut","coord",":","float","The","coordinate","along","the","direction","of","the","cut"]
code: def __init__(self, ax, direction, coord):
      """An MPL axis-like object that displays a cut of 3D volumes
  
      Parameters
      ==========
      ax: a MPL axes instance
          The axes in which the plots will be drawn
      direction: {'x', 'y', 'z'}
          The directions of the cut
      coord: float
          The coordinate along the direction of the cut
      """
      self.ax = ax
      self.direction = direction
      self.coord = coord
      self._object_bounds = []
  
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 1 to create a new CutAxes object  with example: obj = CutAxes(ax, direction, coord)