code: def print_direction_mean(mean_dictionary):
      
      print('Dec: ' + str(round(mean_dictionary['dec'], 1)) +
            '  Inc: ' + str(round(mean_dictionary['inc'], 1)))
      print('Number of directions in mean (n): ' + str(mean_dictionary['n']))
      print('Angular radius of 95% confidence (a_95): ' +
            str(round(mean_dictionary['alpha95'], 1)))
      print('Precision parameter (k) estimate: ' +
            str(round(mean_dictionary['k'], 1)))
docs: Does a pretty job printing a Fisher mean and associated statistics for
      directional data.
  
      Parameters
      ----------
      mean_dictionary: output dictionary of pmag.fisher_mean
  
      Examples
      --------
      Generate a Fisher mean using ``ipmag.fisher_mean`` and then print it nicely
      using ``ipmag.print_direction_mean``
  
      >>> my_mean = ipmag.fisher_mean(di_block=[[140,21],[127,23],[142,19],[136,22]])
      >>> ipmag.print_direction_mean(my_mean)
      Dec: 136.3  Inc: 21.3
      Number of directions in mean (n): 4
      Angular radius of 95% confidence (a_95): 7.3
      Precision parameter (k) estimate: 159.7