通过循环迭代更新条形图和子图 [英] Updating bar and plot subplots over loop iterations

问题描述

我写了以下代码段，并试图使其更新图表. 相反，我得到的是新地块与旧地块的重叠. 我研究了一下，发现在当前轴上需要relim()和autoscale_view(True,True,True). 我仍然无法获得想要的行为. 有没有办法在调用plt.draw()之前强制pyplot删除/删除旧图形?

I wrote the following snippet and I am trying to make it update the plots. What I get instead is an overlapping of new plots on the old ones. I researched a bit and found I needed relim() and autoscale_view(True,True,True) on the current axis. I still cannot get the desired behaviour. Is there a way to force pyplot to delete/remove the old drawing before calling plt.draw()?

import numpy as np
import matplotlib.pyplot as plt
import time

plt.ion()
a = np.arange(10)

fig,ax = plt.subplots(2,1)
plt.show()

for i in range(100):
    b = np.arange(10) * np.random.randint(10)
    ax[0].bar(a,b,align='center')
    ax[0].relim()
    ax[0].autoscale_view(True,True,True)
    ax[1].plot(a,b,'r-')
    ax[1].relim()
    ax[1].autoscale_view(True,True,True)
    plt.draw()
    time.sleep(0.01)
    plt.pause(0.001)

推荐答案

轴具有方法clear()来实现这一目标.

Axes has a method clear() to achieve this.

for i in range(100):
    b = np.arange(10) * np.random.randint(10)

    ax[0].clear()
    ax[1].clear()

    ax[0].bar(a,b,align='center')
    # ...

Matplotlib轴文档

但是relim()始终会根据新数据调整尺寸，因此您将获得静态图像.相反，我会使用set_ylim([min, max])设置值的固定区域.

But relim() will always adjust your dimension to the new data so you will get a static image. Instead I would use set_ylim([min, max]) to set a fix area of values.

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