Fit Student-t and normal distribution in python

gistfile1.txt

    import scipy
    import scipy.stats
    
    plt.hist(noise, bins=100, normed=1)
    x = np.linspace(-0.2, 0.2, len(noise))
    dist_names = ['norm', 't']
    for dist_name in dist_names:
        dist = getattr(scipy.stats, dist_name)
        param = dist.fit(noise)
        pdf_fitted = dist.pdf(x, *param[:-2], loc=param[-2], scale=param[-1])
        plt.plot(x, pdf_fitted, label=dist_name)
    plt.show()