class_docstr: Diffusion that has an exact integral representation
  
  this is currently mainly for geometric, log processes
class_docstr_tok: ["Diffusion","that","has","an","exact","integral","representation","this","is","currently","mainly","for","geometric",",","log","processes"]
code: def exactdist(self, xzero, t):
      expnt = np.exp(-self.lambd * t)
      meant = xzero * expnt + self._exactconst(expnt)
      stdt = self._exactstd(expnt)
      return stats.norm(loc=meant, scale=stdt)
  
imports: import numpy
  from scipy import stats, signal
  import matplotlib.pyplot
label_desc: Use image node_id 3 for calling the ExactDiffusion obj's underlying member method code with example usage: obj.exactdist(xzero, t) and returns: stats