class_docstr: The base volumetric structure.
  
  This object represents numerical values embedded in a
  3-dimensional world space (called a field in physics and
  engineering)
  
  This is an abstract base class: it defines the interface, but not
  the logics.
  
  Attributes
  ----------
  
  world_space: string
      World space the data is embedded in. For instance `mni152`.
  metadata: dictionary
      Optional, user-defined, dictionary used to carry around
      extra information about the data as it goes through
      transformations. The consistency of this information is not
      maintained as the data is modified.
docstr: Returns the transform object associated with the volumetric
  structure which is a general description of the mapping from
  the values to the world space.
  
  Returns
  -------
  transform : nipy.datasets.Transform object
docstr_tok: ["Returns","the","transform","object","associated","with","the","volumetric","structure","which","is","a","general","description","of","the","mapping","from","the","values","to","the","world","space",".","Returns","--","--","--","-","transform",":","nipy.datasets.Transform","object"]
code: def get_transform(self):
      """Returns the transform object associated with the volumetric
      structure which is a general description of the mapping from
      the values to the world space.
  
      Returns
      -------
      transform : nipy.datasets.Transform object
      """
      raise NotImplementedError
  
file_path: nipy/nipy/labs/datasets/volumes/volume_field.py
imports: from ..transforms.transform import CompositionError
label_desc: Use image node_id 1 for calling the VolumeField obj's underlying member method code with example usage: obj.get_transform() without return types