def get_initial(extension):
# read the initial concentrations
with open('initial.json') as f:
initial = json.load(f)
# read the initial LDH concetrations
fname = get_csv(extension)
df_cons = pandas.read_csv(fname[0], index_col=0)
LDH_0 = df_cons['LDH_0'].values
# generate list with initial values
initial_list = []
for ldh in LDH_0:
initial_list.append([
initial['HCl_0'], ldh, initial['Poly_active_0'],
initial['Radical_0'], initial['Prim_stab_0'],
initial['Poly_deg_0'], initial['Cross_link_0']
])
return initial_list
def get_initial(extension):
# read the initial concentrations
with open('initial.json') as f:
initial = json.load(f)
# read the initial LDH concetrations
fname = get_csv(extension)
df_cons = pandas.read_csv(fname[0], index_col=0)
LDH_0 = df_cons['LDH_0'].values
# generate list with initial values
initial_list = []
for ldh in LDH_0:
initial_list.append([initial['HCl_0'],
ldh,
initial['Poly_active_0'],
initial['Radical_0'],
initial['Prim_stab_0'],
initial['Poly_deg_0'],
initial['Cross_link_0']])
return initial_list
def get_constants(extension):
fname = get_csv(extension)
df_cons = pandas.read_csv(fname[0], index_col=0)
return df_cons[[2, 3, 4, 5, 6, 7]].values
def get_constants(extension):
fname = get_csv(extension)
df_cons = pandas.read_csv(fname[0], index_col=0)
return df_cons[[2, 3, 4, 5, 6, 7]].values