如何在matplotlib中使用单个打印命令打印多条线（相同的数据、不同的样式）？

在我的示例中，我想在实际数据（示例中的蓝色“俯仰角”线）后面绘制一条“突出显示”线（一条黑色的粗线，上面有一条较窄的黄线以创建黑色轮廓）

My function

highlight

对pandas系列

x

中的元素执行此操作，其中

h

为

True

，并最终绘制

x

<代码>高亮显示返回创建的高亮显示线的唯一标识符，以及用于编辑图例条目以生成图像中所示内容的实际线样式，但据我所知，在所有打印命令之后，即在

高亮显示

之外，必须执行此操作，假设将向轴添加其他内容，例如我的示例中的“细螺距”和“10度”线

def highlight(x, h, hlw=8, hc='#FFFBCC', hll='Highlighted', **kwargs):

    """
    Plot data in Series x, highlighting the elements correponding to True in h.
    """

    # For passing to extra the highlighter lines, drop any passed kwargs which
    # would clobber their appearance.  Keep a copy of the full set for the data.
    # The extra lines are plotted first so they appear underneath the actual
    # data.
    fullkwargs = kwargs.copy()
    for k in ['lw', 'linewidth', 'linestyle', 'ls', 'color', 'c', 'label']:
        kwargs.pop(k, None)

    # Generate a probably unique ID so that the legend entries of these lines
    # can be identified by the caller.
    import random
    gid = random.random()

    # Plot the highlighting lines.  First, plot a heavier black line to provide
    # a clear outline to the bright highlighted region.
    x.where(h).plot(lw=hlw+2, c='k', label='_dont_put_me_in_legend', **kwargs)
    # Plot the bright highlighter line on top of that.  Give this line an id.
    x.where(h).plot(lw=hlw, c=hc, label=hll, gid=gid, **kwargs)

    # Plot the actual data.
    a = x.plot(**fullkwargs)

    # Generate the custom legend entry artists.
    import matplotlib.lines as mlines
    l1 = mlines.Line2D([], [], lw=hlw+2, c='k')
    l2 = mlines.Line2D([], [], lw=hlw, c=hc)

    # Return the unique identifier of this call, and the tuple of line styles to
    # go to HandlerTuple (see
    # http://matplotlib.org/users/legend_guide.html#legend-handlers).  This
    # makes it possible to update all "highlighter" legend entries with the
    # correct color-on-black visual style produced here.
    return {gid: (l1, l2)}

我在调用plt.legend（）时通过循环所有图例条目并替换图例键（其中，

gid

是

highlight

返回的值之一），为高亮显示生成准确的图例条目

handles,labels = a.get_legend_handles_labels()
newhandles = []

for h in handles:

    if h.get_gid() in hi:

        newhandles.append(hi[h.get_gid()])

    else:

        newhandles.append(h)

a.legend(newhandles, labels)

matplotlib中是否有方法定义“复合”线样式，以便一个打印命令生成所需的外观，并且只有一个图例条目