title: Can continuous random variables be converted into discrete using scipy?
body: <p>If I initialize a subclass of <code>scipy.stats.rv_continuous</code> , for example <code>scipy.stats.norm</code></p>
  
  <pre><code>&gt;&gt;&gt; from scipy.stats import norm
  &gt;&gt;&gt; rv = norm()
  </code></pre>
  
  <p>Can I convert it into a list of probabilities with each element representing the probability of a range of values after providing the number of ranges?
  Something like -
  (for the range - [(-inf,-1), (-1,0), (0,1), (1, inf)] )</p>
  
  <pre><code>&gt;&gt;&gt; li
  [0.15865525393145707, 0.34134474606854293, 0.34134474606854293, 0.15865525393145707]
  </code></pre>
  
  <p>( where 0.15865525393145707 is the probability of the variable being less than -1 and 0.34134474606854293 for being in the range -1 to 0 and similarly for others. </p>
  
  <p>Can this be done using scipy? If not which python library can support such conversion operations?</p>