def make_error_series(rare_mat, groups, std_type):
 err_ser = dict()
 collapsed_ser = dict()
 seen = set()
 pre_err = {}
 ops = [k for k in groups]
 notfound = []
 for o in ops:
  pre_err[o] = []
  for samID in groups[o]:
   pre_err[o].append(rare_mat[samID])
  min_len = min([(len(i) - i.count('nan')) for i in pre_err[o]])
  pre_err[o] = [x[:min_len] for x in pre_err[o]]
 for o in ops:
  opsarray = array(pre_err[o])
  mn = mean(opsarray, 0)
  collapsed_ser[o] = mn.tolist()
  if (std_type == 'stderr'):
   stderr_result = stderr(opsarray, 0)
   err_ser[o] = stderr_result.tolist()
  else:
   stddev = std(opsarray, 0)
   err_ser[o] = stddev.tolist()
 return (collapsed_ser, err_ser, ops)

def make_error_series ( rare_mat , groups , std_type ) : err_ser = dict ( ) collapsed_ser = dict ( ) seen = set ( ) pre_err = { } ops = [ k for k in groups ] notfound = [ ] for o in ops : pre_err [ o ] = [ ] for samID in groups [ o ] : pre_err [ o ] . append ( rare_mat [ samID ] ) min_len = min ( [ ( len ( i ) - i . count ( 'nan' ) ) for i in pre_err [ o ] ] ) pre_err [ o ] = [ x [ : min_len ] for x in pre_err [ o ] ] for o in ops : opsarray = array ( pre_err [ o ] ) mn = mean ( opsarray , 0 ) collapsed_ser [ o ] = mn . tolist ( ) if ( std_type == 'stderr' ) : stderr_result = stderr ( opsarray , 0 ) err_ser [ o ] = stderr_result . tolist ( ) else : stddev = std ( opsarray , 0 ) err_ser [ o ] = stddev . tolist ( ) return ( collapsed_ser , err_ser , ops )
create mean and error bar series for the supplied mapping category .