code: def plot_hurst_hist():
    
    # local import to avoid dependency for non-debug use
    import matplotlib.pyplot as plt
    hs = [nolds.hurst_rs(np.random.random(size=10000), corrected=True) for _ in range(100)]
    plt.hist(hs, bins=20)
    plt.xlabel("esimated value of hurst exponent")
    plt.ylabel("number of experiments")
    plt.show()
docs: Plots a histogram of values obtained for the hurst exponent of uniformly
    distributed white noise.
  
    This function requires the package ``matplotlib``.