quantiles = {0: 0.3, 1: 0.1, 2: 0.2, 3: 0.25, 4: 0.5}
# to see contents of create_data function, look at the top-most algorithm's code
figure, axes, handles = create_plots(data, baselines)
for i, (ax, y) in enumerate(zip(axes, data)):
    if i == 0:
        lam = 1e7
    elif i == 1:
        lam = 1e6
    else:
        lam = 1e5
    baseline, params = baseline_fitter.irsqr(y, lam=lam, quantile=quantiles[i])
    ax.plot(baseline, 'g--')