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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) |
jeremias
10 months ago