matplotlib画动态散点图

最新推荐文章于 2023-02-01 10:34:49 发布

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最新推荐文章于 2023-02-01 10:34:49 发布 · 3.1k 阅读

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本文介绍如何利用matplotlib库在Python中制作动态散点图。通过一个简单易懂的例子，展示动态数据可视化的过程，帮助读者理解如何更新图表以显示随时间变化的数据。

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

class AnimatedScatter(object):
 """An animated scatter plot using matplotlib.animations.FuncAnimation."""
 def __init__(self, numpoints=50):
  self.numpoints = numpoints
  self.stream = self.data_stream()

  # Setup the figure and axes...
  self.fig, self.ax = plt.subplots()
  # Then setup FuncAnimation.
  self.ani = animation.FuncAnimation(self.fig, self.update, interval=5, 
           init_func=self.setup_plot, blit=True)

 def setup_plot(self):
  """Initial drawing of the scatter plot."""
  x, y, s, c = next(self.stream)
  self.scat = self.ax.scatter(x, y, c=c, s=s, animated=True)
  self.ax.axis([-10, 10, -10, 10])

  # For FuncAnimation's sake, we need to return the artist we'll be using
  # Note that it expects a sequence of artists, thus the trailing comma.
  return self.scat,

 def data_stream(self):
  """Generate a random walk (brownian motion). Data i