matplotlib中带有垂直线的图例

时间:2018-11-02 16:38:01

标签: python matplotlib legend

由于特定原因,我需要在matplotlib图例中显示一条垂直线。我试图让matplotlib理解我想要与lines.Line2D(x,y)垂直的线,但这显然不起作用。

import matplotlib.pyplot as plt
from matplotlib import lines
fig, ax = plt.subplots()
ax.plot([0,0],[0,3])
lgd = []
lgd.append(lines.Line2D([0,0],[0,1], color = 'blue', label = 'Vertical line'))
plt.legend(handles = lgd)

enter image description here

我需要线条显示为垂直,而不是图例。有人可以帮忙吗?

2 个答案:

答案 0 :(得分:5)

制作line2D对象时,可以使用垂直线标记。可以找到有效标记的列表here

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()

enter image description here

答案 1 :(得分:2)

垂直标记所有行

如果要使图例中的每一行都垂直标记而不是水平标记,则可以通过handler_map更新图例手柄。

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()

enter image description here

以微型形式复制行

如果目标是在图例中获得缩略图线的缩略版,则原则上可以对Using a miniature version of the plotted data as the legend handle使用此答案。不过,需要略微修改以解决宽度框可能为0的问题,我现在也将其编辑为原始答案。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()

enter image description here