class_docstr: Normal Distribution
  ----
  This class contains methods relating to the normal distribution for time series.
docstr: Simulate from the Normal distribution using instance values
  
  Parameters
  ----------
  size : int
      How many simulations to perform
  
  Returns
  ----------
  np.ndarray of Normal random variable
docstr_tok: ["Simulate","from","the","Normal","distribution","using","instance","values","Parameters","--","--","--","--","--","size",":","int","How","many","simulations","to","perform","Returns","--","--","--","--","--","np.ndarray","of","Normal","random","variable"]
code: def draw_variable_local(self, size):
      """Simulate from the Normal distribution using instance values
  
      Parameters
      ----------
      size : int
          How many simulations to perform
  
      Returns
      ----------
      np.ndarray of Normal random variable
      """
      return ss.norm.rvs(loc=self.mu0, scale=self.sigma0, size=size)
  
imports: import numpy
  import scipy.stats
  import scipy.special
  from .family import Family
  from .flat import Flat
  from .gas_recursions import gas_recursion_normal_orderone, gas_recursion_normal_ordertwo
  from .gas_recursions import gasx_recursion_normal_orderone, gasx_recursion_normal_ordertwo
  from .gas_recursions import gas_llev_recursion_normal_orderone, gas_llev_recursion_normal_ordertwo
  from .gas_recursions import gas_llt_recursion_normal_orderone, gas_llt_recursion_normal_ordertwo
  from .gas_recursions import gas_reg_recursion_normal_orderone, gas_reg_recursion_normal_ordertwo
label_desc: Use image node_id 6 for calling the Normal obj's underlying member method code with example usage: obj.draw_variable_local(size) and returns: ss