我试图重现下面的曲线from this paper：

该图显示了5次运行的平均准确度，垂直值显示了最小和最大准确度。
如何将这些具有特定值的垂直散点相加？
我的当前代码：

def plot_losses(losses: Dict[float, Dict[float, List[float]]]) -> None:
    """
    Plot the evolution of the loss regarding the sparsity level and iteration step

    Args:
        losses (Dict[float, Dict[float, List[float]]]): Dict containing the losses regarding the sparsity level and iteration step
    """

    plt.clf()

    plt.figure(figsize=(20, 10))
    plt.tight_layout()

    sparsity_levels = [round(sparsity_level, 2) for sparsity_level in losses.keys()]

    for sparsity_level, key in zip(sparsity_levels, losses.keys()):
        plt.plot(list(losses[key].keys()), list(losses[key].values()), '+--', label=f"{100 - sparsity_level:.2f}%")

    plt.show()