code: def draw_pdf(f, arg, bound, bins=100, scale=1.0, density=True,
               normed_pdf=False, ax=None, **kwds):
      
      edges = np.linspace(bound[0], bound[1], bins)
      return draw_pdf_with_edges(f, arg, edges, ax=ax, scale=scale, density=density,
                                 normed_pdf=normed_pdf, **kwds)
docs: draw pdf with given argument and bounds.
  
      **Arguments**
  
          * **f** your pdf. The first argument is assumed to be independent
            variable
  
          * **arg** argument can be tuple or list
  
          * **bound** tuple(xmin,xmax)
  
          * **bins** number of bins to plot pdf. Default 100.
  
          * **scale** multiply pdf by given number. Default 1.0.
  
          * **density** plot density instead of expected count in each bin
            (pdf*bin width). Default True.
  
          * **normed_pdf** Normalize pdf in given bound. Default False
  
          * The rest of keyword argument will be pass to pyplot.plot
  
      **Returns**
  
          x, y of what's being plot