下面是一个可能符合您描述的代码：

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

# Create new Figure and an Axes which fills it.
fig = plt.figure(figsize=(7, 7))
ax = fig.add_axes([0, 0, 1, 1], frameon=False)
ax.set_xlim(-1, 1), ax.set_xticks([])
ax.set_ylim(-1, 1), ax.set_yticks([])

# Create data
ndata = 50

data = np.zeros(ndata, dtype=[('peng', float, 2), ('bear',    float, 2)])

# Initialize the position of data
data['peng'] = np.random.randn(ndata, 2)
data['bear'] = np.random.randn(ndata, 2)

# Construct the scatter which we will update during animation
scat1 = ax.scatter(data['peng'][:, 0], data['peng'][:, 1], color='green')
scat2 = ax.scatter(data['bear'][:, 0], data['bear'][:, 1], color='red')

def update(frame_number):
    # insert results from generate_plot(population) here
    data['peng'] = np.random.randn(ndata, 2)
    data['bear'] = np.random.randn(ndata, 2)

    # Update the scatter collection with the new positions.
    scat1.set_offsets(data['peng'])
    scat2.set_offsets(data['bear'])

# Construct the animation, using the update function as the animation
# director.
animation = FuncAnimation(fig, update, interval=10)
plt.show()

字符串
你可能还想看看http://matplotlib.org/examples/animation/rain.html，你可以在那里学习更多的散点图动画的调整。