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@ -30,7 +30,7 @@ def load_data(file):
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return dat
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def plot_parameters(dat, deparameterize=False, ref=None):
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def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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''' Plot the parameters in separate subplots with uncertainties.
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Args:
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@ -42,21 +42,29 @@ def plot_parameters(dat, deparameterize=False, ref=None):
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if is_ipython():
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plt.ion()
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idx_a = input_file.find('/')
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idx_b = input_file[idx_a+1::].find('/')
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name_file = input_file[idx_a+1:idx_b+idx_a+1]
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inputfile_path = 'results/' + name_file + '/input.yaml'
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inputfile_path = 'results/aorta_C/input.yaml'
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with open(inputfile_path) as file:
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inputfile = yaml.full_load(file)
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#true_val = [10,250,250,250,30]
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true_val = [94,250,683,615,30]
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true_val = [10,60,220,160,100]
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current_val = []
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current_val.append(inputfile['boundary_conditions'][2]['value'][0])
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current_val.append(inputfile['boundary_conditions'][3]['value'][0])
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current_val.append(inputfile['boundary_conditions'][4]['value'][0])
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current_val.append(inputfile['boundary_conditions'][5]['value'][0])
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current_val.append(inputfile['boundary_conditions'][1]['parameters']['U'])
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for bnd_c in inputfile['estimation']['boundary_conditions']:
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if 'windkessel' in bnd_c['type']:
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for bnd_set in inputfile['boundary_conditions']:
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if bnd_c['id'] == bnd_set['id']:
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current_val.append(bnd_set['value'][0])
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current_val.append(inputfile['boundary_conditions'][1]['parameters']['U'])
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dim = dat['theta'].shape[-1]
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fig1, axes = plt.subplots(1,1,figsize=(8,6))
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@ -72,6 +80,8 @@ def plot_parameters(dat, deparameterize=False, ref=None):
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col = cycle(['C0', 'C1', 'C2', 'C3','C4'])
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ls = cycle(['-', '-', '--', '--', ':', ':', '-.', '-.'])
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legends = cycle(['$R_3$','$R_4$','$R_5$','$R_6$','$U$'])
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#legends = cycle(['$R_3$','$U$'])
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col_ = next(col)
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ls_ = next(ls)
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@ -100,7 +110,8 @@ def plot_parameters(dat, deparameterize=False, ref=None):
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# print('theta_peak: \t {}'.format(theta[round(len(theta)/2), :]))
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print('Final value theta: \t {}'.format(theta[-1, :]))
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print('Deparameterized: 2^theta_end: \t {}'.format(2**theta[-1, :]))
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print('Real values: \t {}'.format(np.round(2**theta[-1, :]*current_val,2)))
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print('Real values: \t {}'.format(true_val))
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print('Recon values: \t {}'.format(np.round(2**theta[-1, :]*current_val,2)))
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@ -133,5 +144,5 @@ if __name__ == '__main__':
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args = get_parser().parse_args()
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dat = load_data(args.file)
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plot_parameters(dat, deparameterize=args.deparameterize, ref=args.ref)
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plot_parameters(dat, args.file,deparameterize=args.deparameterize, ref=args.ref)
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jeremias
2 years ago