location,
state_location,
country_location,
n,
with_non_teaching_staff=True,
with_school_types=False,
school_mixing_type=school_mixing_type,
average_class_size=average_class_size,
inter_grade_mixing=inter_grade_mixing,
average_student_teacher_ratio=average_student_teacher_ratio,
average_teacher_teacher_degree=average_teacher_teacher_degree,
average_student_all_staff_ratio=average_student_all_staff_ratio,
average_additional_staff_degree=average_additional_staff_degree,
)
sp.show_layers(population)
# sp.generate_synthetic_population(n, datadir, location='seattle_metro', state_location='Washington', country_location='usa', sheet_name='United States of America',
# with_school_types=False, school_mixing_type='random', average_class_size=20, inter_grade_mixing=0.1,
# average_student_teacher_ratio=20, average_teacher_teacher_degree=3, teacher_age_min=25, teacher_age_max=75,
# average_student_all_staff_ratio=15, average_additional_staff_degree=20, staff_age_min=20, staff_age_max=75,
# verbose=False, plot=False, write=False, return_popdict=False, use_default=False)
# population = sp.make_population(n,
# generate=True,
# with_school_types=True,
# school_mixing_type=school_mixing_type)
for i in range(3000):
person = population[i]
if person['sc_staff']:
verbose = False
plot = True
write = True
# this will generate a population with microstructure and age demographics that approximate those of the location selected
# also saves to file in:
# datadir/demographics/contact_matrices_152_countries/state_location/
sp.generate_synthetic_population(n,
datadir,
location=location,
state_location=state_location,
country_location=country_location,
sheet_name=sheet_name,
verbose=verbose,
plot=plot,
write=write)
# load that population into a dictionary of individuals who know who their contacts are
options_args = {'use_microstructure': True}
network_distr_args = {'Npop': n}
contacts = sp.make_contacts(location=location,
state_location=state_location,
country_location=country_location,
options_args=options_args,
network_distr_args=network_distr_args)
verbose = True
# verbose = False
if verbose:
sp.show_layers(contacts, show_ages=True, show_n=2)