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than the maximum in all the combined experiments. steps_df = pd.DataFrame() x_t = np.array([0.5,1]) y_t = np.array([-0.5,-1]) for i in range(10): test_df = output_model(x_t, y_t, pars=(x0, y0, fwhm), cnt_point=False) test_df['iteration'] = i pipe1 = linear_pipe_fit(degree=1, interaction=True,