"    Input:  {
              characteristics_table - characteristics table (list)

              (bins)                - number of bins (int, default = 100)

              (min)                 - min float value (if multiple ctables are processed)
              (max)                 - max float value (if multiple ctables are processed)

              (cov_factor)          - float covariance factor (0.5 by default)

              (skip_fail)           - if 'yes', do not fail, if SciPy and NumPy
                                      are not available
            }

    Output: {
              return       - return code =  0, if successful
                                         >  0, if error
              (error)      - error text if return > 0

              min        - min X values from input or calculated
              max        - max X values from input or calculated  

              xlist      - list of x values
              ylist      - list of y density values 

              xlist2     - list of x values with peaks
              ylist2     - list of y density values with peaks

              xlist2s    - list of sorted x values with peaks (max y -> hence 1st expected value)
              ylist2s    - list of sorted y density values with peaks
            }

"