是否可以使用 matplotlib 图例选择器选择图例文本区域而不是图例行？

Question

我想使用 matplotlib 制作图表。我想添加一个选择器函数，这样我就可以从这个 matplotlib URL 中找到代码：https://matplotlib.org/stable/gallery/event_handling/legend_picking.html

然而，当我执行这段代码时，很难准确地 select 图例线，因为图例线很细。我想修改此代码，以便在单击图例行右侧的图例文本区域时选择器功能起作用。

import numpy as np
import matplotlib.pyplot as plt

t = np.linspace(0, 1)
y1 = 2 * np.sin(2*np.pi*t)
y2 = 4 * np.sin(2*np.pi*2*t)

fig, ax = plt.subplots()
ax.set_title('Click on legend line to toggle line on/off')
line1, = ax.plot(t, y1, lw=2, label='1 Hz')
line2, = ax.plot(t, y2, lw=2, label='2 Hz')
leg = ax.legend(fancybox=True, shadow=True)

lines = [line1, line2]
lined = {}  # Will map legend lines to original lines.

for legline, origline in zip(leg.get_lines(), lines):
    print(legline)
    print(origline)
    legline.set_picker(True)  # Enable picking on the legend line.
    lined[legline] = origline

def on_pick(event):
    # On the pick event, find the original line corresponding to the legend
    # proxy line, and toggle its visibility.
    legline = event.artist
    origline = lined[legline]
    visible = not origline.get_visible()
    origline.set_visible(visible)
    # Change the alpha on the line in the legend so we can see what lines
    # have been toggled.
    legline.set_alpha(1.0 if visible else 0.2)
    fig.canvas.draw()

fig.canvas.mpl_connect('pick_event', on_pick)
plt.show()

Answer 1

一个替代使用 here 使点击的容忍度 比 legend line 更高，因此更容易点击.

只需将 legline.set_picker(True) 更改为 legline.set_picker(7)

是否可以使用 matplotlib 图例选择器选择图例文本区域而不是图例行？

Is it possible to use matplotlib legend picker selecting legend text area not legend line?

python

graph

matplotlib

legend

picker