有没有一种简单的方法可以在matplotlib中为滚动的垂直线设置动画？

Question

我希望有一个我所说的进度标记，它在音频播放工具中似乎很常见。我认为在matplotlib中，这相当于左/右动画plt.vlines。我的代码需要2秒钟的数据数组，并创建了音频时间序列可视化。我正在努力创建一条动画的垂直线，该线将在整个图上从0到2线性移动2秒。

import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt

font = {'weight': 'bold', 'size': 15}
plt.rc('font',**font)
sns.set_style("darkgrid")

testSeries = np.random.randint(-10, 20, 12000)
testSeries = testSeries - testSeries.mean()


fig,axis = plt.subplots(nrows=1,ncols=1,figsize=(18,5),sharex=True)
sns.lineplot(range(0,len(testSeries)),testSeries,  color='#007294')
plt.xlim(0, len(testSeries))
axis.set_xlabel("Time (s)", fontsize='large', fontweight='bold')
axis.set_ylabel("Amplitude", fontsize='large', fontweight='bold')
axis.set_xticklabels(['0', '0.3', '0.6', '1', '1.3', '1.6', '2'],fontsize=15)
fig.tight_layout(rect=[0,0,.8,1]) 
plt.subplots_adjust(bottom=-0.01)
sns.despine()
plt.show()

Answer 1

axvline()仅返回一个Line2D对象，因此您可以使用Line2D.set_xdata()

更新其位置

duration = 2 # in sec
refreshPeriod = 100 # in ms

fig,ax = plt.subplots()
vl = ax.axvline(0, ls='-', color='r', lw=1, zorder=10)
ax.set_xlim(0,duration)

def animate(i,vl,period):
    t = i*period / 1000
    vl.set_xdata([t,t])
    return vl,

ani = animation.FuncAnimation(fig, animate, frames=int(duration/(refreshPeriod/1000)), fargs=(vl,refreshPeriod), interval=refreshPeriod)
plt.show()

请注意，刷新率不能保证，它取决于重画图形所需的时间。您可能需要玩refreshPeriod。

Answer 2

matplotlib的交互模式可能对您有用。设置方法如下：

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


testSeries = np.random.randint(-10, 20, 1000)
testSeries = testSeries - testSeries.mean()

x = range(0,len(testSeries))
fig,ax = plt.subplots(nrows=1,ncols=1)

line = ax.plot((x[0], x[0]), (0, testSeries[0]), 'k-',linewidth=4)

plt.xlim(0, len(testSeries))
plt.ion()   # set interactive mode
plt.show()

ax.set_xlabel("Time (s)", fontsize='large', fontweight='bold')
ax.set_ylabel("Amplitude", fontsize='large', fontweight='bold')
ax.set_xticklabels(['0', '0.3', '0.6', '1', '1.3', '1.6', '2'],fontsize=15)

for i,serie in enumerate(testSeries):
#comment the following three lines if you don't want to remove previous lines

    for l in line:
        l.remove()
        del l

    line = ax.plot((x[i], x[i]), (0, testSeries[i]), 'k-',linewidth=4)
    plt.gcf().canvas.draw()
    plt.pause(0.01)

输出（保留前几行）：

输出（删除前几行）：