我就废话不多说啦，还是直接看代码吧！

from matplotlib import pyplot as plt
import numpy as np
x = np.linspace(1, 100, 20)
y = x *2 +3
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
ax.scatter(x, y)
plt.ion()
for i in range(10):
 y = x*i*0.1 + i
  ax.lines.remove(lines[0])
 except Exception:
 lines = ax.plot(x ,y)
 plt.pause(0.1)

补充知识：用Python的matplotlib库动态显示不断增长的数据

"""
Created on Mon Dec 07 16:34:10 2015
@author: SuperWang
import matplotlib.pyplot as plt
import numpy as np
fig,ax=plt.subplots()
fig2,ax2=plt.subplots()
y1=[]
y2=[]
for i in range(50):
 y1.append(np.sin(i))
 y2.append(np.cos(i))
 ax.cla()
 ax.set_title("Loss")
 ax.set_xlabel("Iteration")
 ax.set_ylabel("Loss")
 ax.set_xlim(0,55)
 ax.set_ylim(-1,1)
 ax.grid()
 ax.plot(y1,label='train')
 ax.plot(y2,label='test')
 ax.legend(loc='best')
 ax2.cla()
 ax2.set_title("Loss")
 ax2.set_xlabel("Iteration")
 ax2.set_ylabel("Loss")
 ax2.set_xlim(0,55)
 ax2.set_ylim(-1,1)