Ale*_*oca 5 python mouse animation matplotlib cursor
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2个动画子图垂直堆叠。
我想根据鼠标位置在它们之间显示一条黑色垂直线。
到目前为止,移动鼠标时我只能完全弄乱这个身影。
如何清除更新之间的旧垂直线?
(只是出于好奇:由于具有鼠标移动控制功能,即使不移动鼠标,我的PC风扇在执行代码时也会发疯。鼠标是否“计算成本很高”?!?)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from time import sleep
val1 = np.zeros(100)
val2 = np.zeros(100)
level1 = 0.2
level2 = 0.5
fig, ax = plt.subplots()
ax1 = plt.subplot2grid((2,1),(0,0))
lineVal1, = ax1.plot(np.zeros(100))
ax1.set_ylim(-0.5, 1.5)
ax2 = plt.subplot2grid((2,1),(1,0))
lineVal2, = ax2.plot(np.zeros(100), color = "r")
ax2.set_ylim(-0.5, 1.5)
def onMouseMove(event):
ax1.axvline(x=event.xdata, color="k")
ax2.axvline(x=event.xdata, color="k")
def updateData():
global level1, val1
global level2, val2
clamp = lambda n, minn, maxn: max(min(maxn, n), minn)
level1 = clamp(level1 + (np.random.random()-.5)/20.0, 0.0, 1.0)
level2 = clamp(level2 + (np.random.random()-.5)/10.0, 0.0, 1.0)
# values are appended to the respective arrays which keep the last 100 readings
val1 = np.append(val1, level1)[-100:]
val2 = np.append(val2, level2)[-100:]
yield 1 # FuncAnimation expects an iterator
def visualize(i):
lineVal1.set_ydata(val1)
lineVal2.set_ydata(val2)
return lineVal1,lineVal2
fig.canvas.mpl_connect('motion_notify_event', onMouseMove)
ani = animation.FuncAnimation(fig, visualize, updateData, interval=50)
plt.show()
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编辑1
由Ophir解决:
def onMouseMove(event):
ax1.lines = [ax1.lines[0]]
ax2.lines = [ax2.lines[0]]
ax1.axvline(x=event.xdata, color="k")
ax2.axvline(x=event.xdata, color="k")
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编辑2
如果同一图中有更多数据集,例如:
ax1 = plt.subplot2grid((2,1),(0,0))
lineVal1, = ax1.plot(np.zeros(100))
lineVal2, = ax2.plot(np.zeros(100), color = "r")
ax1.set_ylim(-0.5, 1.5)
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每个数据集的行存储在ax1.lines[]:
ax1.lines[0] 是 lineVal1 ax1.lines[1] 是 lineVal2 ax1.lines[2] 是垂直线(如果已经绘制)。这意味着onMouseMove必须更改为:
def onMouseMove(event):
ax1.lines = ax1.lines[:2] # keep the first two lines
ax1.axvline(x=event.xdata, color="k") # then draw the vertical line
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将您的替换onMouseMove为以下内容:
(我使用了如何删除 Matplotlib 图中的线条)
def onMouseMove(event):
ax1.lines = [ax1.lines[0]]
ax2.lines = [ax2.lines[0]]
ax1.axvline(x=event.xdata, color="k")
ax2.axvline(x=event.xdata, color="k")
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