bw2calc.mc_vector

Classes

ParameterVectorLCA

A Monte Carlo class where all uncertain parameters are stored in a single large array.

Module Contents

class bw2calc.mc_vector.ParameterVectorLCA(demand, method=None, iter_solver=cgs, seed=None, *args, **kwargs)

Bases: bw2calc.monte_carlo.IterativeMonteCarlo

A Monte Carlo class where all uncertain parameters are stored in a single large array.

Useful for sensitivity analysis and easy manipulation.

Create a new LCA calculation.

Parameters:

• demand (*) – The demand or functional unit. Needs to be a dictionary to indicate amounts, e.g. {("my database", "my process"): 2.5}.

• method (*) – LCIA Method tuple, e.g. ("My", "great", "LCIA", "method"). Can be omitted if only interested in calculating the life cycle inventory.

Returns:

A new LCA object

load_data()

rebuild_all(vector=None)

Rebuild the LCI/LCIA matrices from a new Monte Carlo sample or provided vector.

property bio_sample

property cf_sample

property tech_sample

property weighting_sample