docstr: Prints properties of a pyramid level.
  
  Prints the properties of a level of this scale space to standard output
  
  Parameters
  ----------
  level : int, 0 <= from_level < L, (L = number of resolutions)
      the scale space level to be printed
docstr_tok: ["Prints","properties","of","a","pyramid","level",".","Prints","the","properties","of","a","level","of","this","scale","space","to","standard","output","Parameters","--","--","--","--","--","level",":","int",",","0","<","=","from_level","<","L",",","(","L","=","number","of","resolutions",")","the","scale","space","level","to","be","printed"]
code: def print_level(self, level):
      """Prints properties of a pyramid level.
  
      Prints the properties of a level of this scale space to standard output
  
      Parameters
      ----------
      level : int, 0 <= from_level < L, (L = number of resolutions)
          the scale space level to be printed
  
      """
      logger.info("Domain shape: " + str(self.get_domain_shape(level)))
      logger.info("Spacing: " + str(self.get_spacing(level)))
      logger.info("Scaling: " + str(self.get_scaling(level)))
      logger.info("Affine: " + str(self.get_affine(level)))
      logger.info("Sigmas: " + str(self.get_sigmas(level)))
  
imports: import logging
  from dipy.align import floating
  import numpy
  import numpy.linalg
  from scipy.ndimage import gaussian_filter
label_desc: Use image node_id 3 for calling the ScaleSpace obj's underlying member method code with example usage: obj.print_level(level) without return types