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 (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 == ‘’: 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
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()
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