class_docstr: :math::
  dx_t &= \mu dt + \sigma dW_t
class_docstr_tok: [":","math",":",":","dx_t","&","=","\\mu","dt","+","\\sigma","dW_t"]
code: def exactdist(self, xzero, t):
      expnt = np.exp(-self.lambd * t)
      meant = self._drift * t
      stdt = self._sigma * np.sqrt(t)
      return stats.norm(loc=meant, scale=stdt)
  
imports: import numpy
  from scipy import stats, signal
  import matplotlib.pyplot
label_desc: Use image node_id 5 for calling the ArithmeticBrownian obj's underlying member method code with example usage: obj.exactdist(xzero, t) and returns: stats