Functions
def	make_model
Variables
string	dir_ = './'
string	model_name = 'model_2'
list	tab_dens = [3, 4, 5, 6]
list	tab_ab_O = [-3.1, -3.25, -3.4, -3.55, -3.7]
int	n_proc = 3
tuple	Ms = pc.load_models('{0}{1}'.format(dir_, model_name), read_grains = False)
list	rO3 = [np.log10(M.get_emis_vol('O__3__5007A')/M.get_emis_vol('TOTL__4363A')) for M in Ms]
list	rO2 = [np.log10(M.get_emis_vol('O_II__3726A')/M.get_emis_vol('O_II__3729A')) for M in Ms]
list	col = [M.abund['O'] for M in Ms]
list	size = [np.log10(M.nH[0])*20 for M in Ms]
tuple	cb = plt.colorbar()

Function Documentation

def pyCloudy::test::test2::make_model	(	dir_,
		model_name,
		dens,
		ab_O
	)

Variable Documentation

tuple cb = plt.colorbar()

list col = [M.abund['O'] for M in Ms]

string dir_ = './'

string model_name = 'model_2'

tuple Ms = pc.load_models('{0}{1}'.format(dir_, model_name), read_grains = False)

int n_proc = 3

list rO2 = [np.log10(M.get_emis_vol('O_II__3726A')/M.get_emis_vol('O_II__3729A')) for M in Ms]

list rO3 = [np.log10(M.get_emis_vol('O__3__5007A')/M.get_emis_vol('TOTL__4363A')) for M in Ms]

list size = [np.log10(M.nH[0])*20 for M in Ms]

list tab_ab_O = [-3.1, -3.25, -3.4, -3.55, -3.7]

list tab_dens = [3, 4, 5, 6]