plot.py 文件源码

def plot_pdf(x, cov_factor=None, *args, **kwargs):
    import matplotlib.pyplot as plt
    from scipy.stats import gaussian_kde
    density = gaussian_kde(x)
    xgrid = np.linspace(min(x), max(x), 200)
    if cov_factor is not None:
        density.covariance_factor = lambda: cov_factor
        density._compute_covariance()
    y = density(xgrid)
    plt.plot(xgrid, y, *args, **kwargs)