你可以在制作line2D对象时使用垂直线标记。有效标记的列表可以在here中找到。

import matplotlib.pyplot as plt
from matplotlib import lines

fig, ax = plt.subplots()
ax.plot([0,0],[0,3])

vertical_line = lines.Line2D([], [], color='#1f77b4', marker='|', linestyle='None',
                          markersize=10, markeredgewidth=1.5, label='Vertical line')

plt.legend(handles = [vertical_line])

plt.show()

垂直标记所有行

如果目标是在图例中垂直标记每一行而不是水平标记每一行，则可以通过handler_map更新图例句柄。

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.legend_handler import HandlerLine2D

plt.plot([1,3,2], label='something')
plt.plot([.5,.5], [1,3], label='something else')

def update_prop(handle, orig):
    handle.update_from(orig)
    x,y = handle.get_data()
    handle.set_data([np.mean(x)]*2, [0, 2*y[0]])

plt.legend(handler_map={plt.Line2D:HandlerLine2D(update_func=update_prop)})

plt.show()

以微缩形式复制行

如果目标是得到图例中绘制的线的缩小版本，原则上可以使用Using a miniature version of the plotted data as the legend handle的答案。需要稍微修改一下，以考虑可能的0宽度边界框，我现在也编辑到原始答案中。在这里，它看起来像：

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.legend_handler import HandlerLine2D
import matplotlib.path as mpath
from matplotlib.transforms import BboxTransformFrom, BboxTransformTo, Bbox

class HandlerMiniatureLine(HandlerLine2D):
    def create_artists(self, legend, orig_handle,
                       xdescent, ydescent, width, height, fontsize,
                       trans):

        legline, _ = HandlerLine2D.create_artists(self,legend, orig_handle,
                                xdescent, ydescent, width, height, fontsize, trans)

        legline.set_data(*orig_handle.get_data())

        ext = mpath.get_paths_extents([orig_handle.get_path()])
        if ext.width == 0:
            ext.x0 -= 0.1
            ext.x1 += 0.1
        bbox0 = BboxTransformFrom(ext)
        bbox1 = BboxTransformTo(Bbox.from_bounds(xdescent, ydescent, width, height))

        legline.set_transform(bbox0 + bbox1 + trans)
        return legline,

plt.plot([1,3,2], label='something')
plt.plot([.5,.5], [1,3], label='something else')

plt.legend(handler_map={plt.Line2D:HandlerMiniatureLine()})

plt.show()