假设你有一个散点图，scat = ax.scatter(...)，那么你可以更改位置scat.set_offsets(array)

其中array是x和y坐标的N x 2形数组。

更改大小scat.set_sizes(array)

其中array是以点为单位的一维大小数组。

更改颜色scat.set_array(array)

其中array是将进行颜色映射的一维值数组。

下面是一个使用animation module的快速示例。

它比必须的要稍微复杂一些，但是这应该给你一个框架来做更漂亮的事情。

(代码于2019年4月编辑，与当前版本兼容。有关旧代码，请参见revision historyimport 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()

如果您在OSX上并使用OSX后端，则需要在下面的FuncAnimation初始化中将blit=True更改为blit=False。OSX后端不完全支持blitting。性能将受到影响，但示例应该在禁用了blitting的OSX上正确运行。

对于只更新颜色的简单示例，请查看以下内容：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()