code: def create_parameterized_CAG(input, output, filename="CAG_with_indicators_and_values.pdf"):
      
      with open(input, "rb") as f:
          G = pickle.load(f)
      G.parameterize(year=2017, month=4)
      G.get_timeseries_values_for_indicators()
      with open(output, "wb") as f:
          pickle.dump(G, f)
docs: Create a CAG with mapped and parameterized indicators