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所以我找到了这个代码:https://matplotlib.org/examples/event_handling/legend_picking.html。我试图让它适用于数据点而不是线条。所以我想我只是改变'o'中的标记,但这似乎不起作用。 另外我想在动画中使用它,以便我可以决定是否要遵循数据点。最后,我想要有10个可点击的图例条目。点击图例中的数据开/关python scatterplot
我试图做的是只放一个标记在一号线,2号线和代号:
import numpy as np
import matplotlib.pyplot as plt
t = np.arange(0.0, 0.2, 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, ls='None', marker='o', color='red', label='1 HZ')
line2, = ax.plot(t, y2, ls='None', marker='o', color='blue', label='2 HZ')
leg = ax.legend(loc='upper left', fancybox=True, shadow=True)
leg.get_frame().set_alpha(0.4)
# we will set up a dict mapping legend line to orig line, and enable
# picking on the legend line
lines = [line1, line2]
lined = dict()
print(lined)
for legline, origline in zip(leg.get_lines(), lines):
legline.set_picker(5) # 5 pts tolerance
lined[legline] = origline
def onpick(event):
# on the pick event, find the orig line corresponding to the
# legend proxy line, and toggle the visibility
legline = event.artist
origline = lined[legline]
vis = not origline.get_visible()
origline.set_visible(vis)
# Change the alpha on the line in the legend so we can see what lines
# have been toggled
if vis:
legline.set_alpha(1.0)
else:
legline.set_alpha(0.2)
fig.canvas.draw()
fig.canvas.mpl_connect('pick_event', onpick)
plt.show()
谢谢看我的问题!