title: How to do a random Monte Carlo scan and getting the outputs in a data file
body: <p>I have some python program let's say 'Test.py' it has a class and inside this in the init I have to introduce three random variables. </p>
  
  <pre><code>import math
  class Vector():
  def __init__(self,vx,vy,vz):
      self.x=vx
      self.y=vy
      self.z=vz
  
  def norm(self):
      xx=self.x**2
      yy=self.y**2
      zz=self.z**2
      return math.sqrt(xx+yy+zz)
  </code></pre>
  
  <p>Now I made a run file 'Testrun.py' which calls this file and then for each dataset it produces one result</p>
  
  <pre><code>import math
  import numpy as np
  
  from Desktop import Test
  def random_range(n, min, max):
     return min + np.random.random(n) * (max - min)
  
  model=Test.Vector(x,y,z)
  
  x=random_range(20,2,9)
  y=random_range(20,2,9)
  z=random_range(20,2,9)
  
  trial_args = np.stack((x, y, z), axis=-1)
  for x, y, z in trial_args:
     print(x, y, z, '=&gt;', model.norm())
  </code></pre>
  
  <p>Now I want to store only the results which gives the 'norm'>5 and want to print the inputs and outputs in a data file </p>