class_docstr: Univariate Normal Distribution 
class_docstr_tok: ["Univariate","Normal","Distribution"]
docstr: Returns the log pdf at x 
docstr_tok: ["Returns","the","log","pdf","at","x"]
code: def logp(self, x):
      """Returns the log pdf at x"""
      return np.asscalar(
          -0.5
          * (
              ((x - self.mean) * (x - self.mean) / self.var)
              + np.log(2 * np.pi * self.var)
          )
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  import numpy
  from .distribution import Continuous
  from ..exd import domains
label_desc: Use image node_id 4 for calling the Normal obj's underlying member method code with example usage: obj.logp(x) and returns: np