generate_plots.py 文件源码

def generateDistributionPlot(test):

    sns.set(color_codes=True)
    for row in test:
        label = row.pop(0)
        d = [float(i) for i in row]
        # Plot a filled kernel density estimate
        sns.distplot(d, hist=False, kde_kws={"shade": True}, label=label)
    plt.xlim([-0.01, 0.1])
    plt.xlabel("time (s)")
    plt.ylabel("operations")