parameters: (self, projection="nearest")
return_statement: return data
docstring: Convert this VolumeData into VertexData using the given projection 
          method.
  
          Parameters
          ----------
          projection : str, optional
              Type of projection to use. Default: nearest.
  
          Returns
          -------
          VertexData subclass
              Vertex valued version of this VolumeData.
docstring_summary: Convert this VolumeData into VertexData using the given projection 
          method.
docstring_tokens: Convert this VolumeData into VertexData using the given projection method .
function: def map(self, projection="nearest"):
          """Convert this VolumeData into VertexData using the given projection 
          method.
  
          Parameters
          ----------
          projection : str, optional
              Type of projection to use. Default: nearest.
  
          Returns
          -------
          VertexData subclass
              Vertex valued version of this VolumeData.
          """
          from cortex import utils
          mapper = utils.get_mapper(self.subject, self.xfmname, projection)
          data = mapper(self)
          # Note: this is OK, because VolumeRGB and Volume2D objects (which
          # have different requirements for vmin, vmax, cmap) do not inherit
          # from VolumeData, and so do not have this method.
          data.vmin = self.vmin
          data.vmax = self.vmax
          data.cmap = self.cmap
          return data
function_tokens: def map ( self , projection = "nearest" ) : from cortex import utils mapper = utils . get_mapper ( self . subject , self . xfmname , projection ) data = mapper ( self ) # Note: this is OK, because VolumeRGB and Volume2D objects (which # have different requirements for vmin, vmax, cmap) do not inherit # from VolumeData, and so do not have this method. data . vmin = self . vmin data . vmax = self . vmax data . cmap = self . cmap return data