Python实现支持双轴缩放的示波器式波形显示工具需求

• matplotlib.animation（无需额外安装）
  你可能没注意到matplotlib本身就能实现示波器效果，用FuncAnimation可以实时更新波形，完全满足快速检查的需求。示例代码：

  import matplotlib.pyplot as plt
  from matplotlib.animation import FuncAnimation
  import numpy as np
  
  fig, ax = plt.subplots()
  x_data = np.linspace(0, 10, 100)
  line, = ax.plot(x_data, np.zeros_like(x_data))
  ax.set_ylim(-1, 1)
  
  def update(frame):
      # 模拟实时生成的波形数据
      y_data = np.sin(x_data + frame/10)
      line.set_ydata(y_data)
      return line,
  
  ani = FuncAnimation(fig, update, interval=50, blit=True)
  plt.show()
  

• PyQtGraph
  专为实时数据可视化设计，比matplotlib响应更快，API风格简洁，适合快速搭建示波器界面。安装后直接用：

  import pyqtgraph as pg
  from pyqtgraph.Qt import QtCore, QtGui
  import numpy as np
  
  app = QtGui.QApplication([])
  win = pg.GraphicsLayoutWidget(show=True, title='示波器风格界面')
  plot = win.addPlot(title='实时波形')
  curve = plot.plot(pen='y')
  
  data = np.zeros(100)
  ptr = 0
  
  def update():
      global data, ptr
      data[ptr] = np.sin(ptr/10)  # 模拟波形数据
      ptr = (ptr + 1) % len(data)
      curve.setData(data)
  
  timer = QtCore.QTimer()
  timer.timeout.connect(update)
  timer.start(50)
  
  QtGui.QApplication.instance().exec_()
  

• VisPy
  基于OpenGL的高性能绘图库，适合处理高频更新的波形，用法也很直观：

  import vispy.plot as vp
  import numpy as np
  
  fig = vp.Fig()
  plot = fig[0,0]
  plot.title = '示波器波形'
  plot.ylim = (-1, 1)
  
  x = np.linspace(0, 10, 100)
  y = np.zeros_like(x)
  line = plot.plot((x, y), color='red')
  
  def update(event):
      global y
      y = np.roll(y, -1)
      y[-1] = np.sin(np.random.rand()*10)
      line.set_data(x, y)
  
  timer = fig.canvas.clock.schedule_interval(update, 0.05)
  fig.show(run=True)
  

内容的提问来源于stack exchange，提问作者Nikolai Savulkin