old_contents: import numpy as np
  import os
  import matplotlib, matplotlib.pyplot as plt
  import collections
  
  
  #import args from system? (Google)
  # import line flux values from file into matrix
  lineflux - np.loadtxt(".../data/fluxes.txt", dtype = {'names': ('column name', '4363', '4363 error ', '3728', '3278 error', '4959', '4959 error', 'hbeta', 'hbeta error'), 'formats': ('s4', 'f8','f8','f8','f8','f8','f8','f8','f8')})
  
  # import mass, sfr, redshift? Or calc?
  
  
  # calculate k values? Or simply import from matlab program?
  k4363 = 4.1482
  k3728 = 5.1632
  k4959 = 
  k4861 = 3.6092
  
  
  
  
  
  
  
new_contents: import numpy as np
  import os
  import matplotlib, matplotlib.pyplot as plt
  import collections
  
  
  #import args from system? (Google)
  # import line flux values from file into matrix
  lineflux - np.loadtxt(".../data/fluxes.txt", dtype = {'names': ('column name', '4363', '4363 error ', '3728', '3278 error', '4959', '4959 error', 'hbeta', 'hbeta error'), 'formats': ('s4', 'f8','f8','f8','f8','f8','f8','f8','f8')})
  
  # import mass, sfr, redshift? Or calc?
  
  
  # calculate k values? Or simply import from matlab program?
  k4363 = 4.1482
  k3728 = 5.1632
  k4959 = 3.5163
  k4861 = 3.6092
  
  
  
  
  
  
  
subject: Update metal.py