@orca.step()
def auto_ownership_simulate(set_random_seed, households_merged,
                            auto_ownership_spec):

    choices, _ = asim.simple_simulate(
        households_merged.to_frame(), auto_ownership_spec)

    print "Choices:\n", choices.value_counts()

    orca.add_column("households", "auto_ownership", choices)

    add_dependent_columns("households", "households_autoown")
Auto ownership is a standard model which predicts how many cars a household
dataset/ETHPy150Open UDST/activitysim/activitysim/defaults/models/auto_ownership.py/auto_ownership_simulate