假设有一个散点图scat = ax.scatter(…)，则可以

改变立场

scat.set_offsets(array)

其中array是N x 2x和y坐标的形状数组。

改变大小

scat.set_sizes(array)

其中array是以点为单位的一维尺寸数组。

改变颜色

scat.set_array(array)

其中array是一维值数组，将对其进行颜色映射。

这是一个使用animation模块的简单示例。
它比必须的要复杂一些，但是这应该为您提供一个做奇特的事情的框架。

（代码编辑于2019年4月以与当前版本兼容。有关旧代码，请参阅修订历史记录）

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).T
    self.scat = self.ax.scatter(x, y, c=c, s=s, vmin=0, vmax=1,
                                cmap="jet", edgecolor="k")
    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 is scaled to produce
    a soft "flickering" effect."""
    xy = (np.random.random((self.numpoints, 2))-0.5)*10
    s, c = np.random.random((self.numpoints, 2)).T
    while True:
        xy += 0.03 * (np.random.random((self.numpoints, 2)) - 0.5)
        s += 0.05 * (np.random.random(self.numpoints) - 0.5)
        c += 0.02 * (np.random.random(self.numpoints) - 0.5)
        yield np.c_[xy[:,0], xy[:,1], s, c]

def update(self, i):
    """Update the scatter plot."""
    data = next(self.stream)

    # Set x and y data...
    self.scat.set_offsets(data[:, :2])
    # Set sizes...
    self.scat.set_sizes(300 * abs(data[:, 2])**1.5 + 100)
    # Set colors..
    self.scat.set_array(data[:, 3])

    # We need to return the updated artist for FuncAnimation to draw..
    # Note that it expects a sequence of artists, thus the trailing comma.
    return self.scat,

if name == ‘main’:
a = AnimatedScatter()
plt.show()
在此处输入图片说明

如果使用OSX并使用OSX后端，则需要在下面的初始化中将更改blit=True为。OSX后端不完全支持blitting。性能会受到影响，但是示例应在禁用blitting的情况下在OSX上正确运行。blit=FalseFuncAnimation

对于一个仅更新颜色的简单示例，请看以下内容：

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

def main():
numframes = 100
numpoints = 10
color_data = np.random.random((numframes, numpoints))
x, y, c = np.random.random((3, numpoints))

fig = plt.figure()
scat = plt.scatter(x, y, c=c, s=100)

ani = animation.FuncAnimation(fig, update_plot, frames=xrange(numframes),
                              fargs=(color_data, scat))
plt.show()

def update_plot(i, data, scat):
scat.set_array(data[i])
return scat,

main()