total_passenger_kilometers = [[
float(numcar) * 1 * float(dt)
for numcar, cpk, dt in zip(numcars, cpks, dist_for_yr_cat)
] for numcars, cpks, dist_for_yr_cat in zip(
sample_model._data, yr_consumption_per_km, dist_for_yr)]
total_consumption_unweighted_list = [[
float(numcar) * 1 * float(cpk)
for numcar, cpk, dt in zip(numcars, cpks, dist_for_yr_cat)
] for numcars, cpks, dist_for_yr_cat in zip(
sample_model._data, yr_consumption_per_km, dist_for_yr)]
annual_grams = sum(sum(total_consumption_grams, []))
total_travel = sum(sum(total_passenger_kilometers, []))
total_consumption_unweighted = sum(
sum(total_consumption_unweighted_list, []))
numlist = BaseModel.get_counts(self=sample_model)
numcars = sum(sum(numlist, []))
emissions_intensity = annual_grams / (numcars)
emissions_intensity_per_km = annual_grams / (total_travel)
emissions_intensity_per_km_unweighted = total_consumption_unweighted / (
numcars)
print(
f'{f_type} Emissions for year: {sample_model._year} = {annual_grams} grams_CO2- number of cars :{numcars}'
)
em_dict.append({
"year":
str(sample_model._year),
"grams_CO2":
annual_grams,
"number_cars":
