5b) visualize uniform samples.py

import matplotlib.pyplot as plt
import hopsy
import os
import numpy as np
import helpers

if __name__ == "__main__":
    models = [
        'iEZ481_Citrat-MOPS',
        'iEZ481_Glucose-MOPS',
        'iEZ481_PCA_Gluc',
    ]
    for model in models:
        samples = np.load(file=os.path.join('data', f'{model}_uniform_samples.npz'))['samples']
        print(samples.shape)
        # # Histogramm anzeigen lassen
        plt.figure()
        plt.title(f'{model} growth rate')
        plt.hist(samples[0, :, 300], density=True, bins=10, alpha=0.5)
        plt.hist(samples[1, :, 300], density=True, bins=10, alpha=0.5)
        plt.hist(samples[2, :, 300], density=True, bins=10, alpha=0.5)
        plt.hist(samples[3, :, 300], density=True, bins=10, alpha=0.5)
        plt.tight_layout()
        plt.savefig(f"uniform_{model}.png")
        plt.show(block=False)
        del samples