import matplotlib.pyplot as plt
import numpy as np
import time
from math import *

plt.ion() #开启interactive mode 成功的关键函数
plt.figure(1)
t = [0]
t_now = 0
m = [sin(t_now)]

for i in range(2000):
 t_now = i*0.1
 t.append(t_now)#模拟数据增量流入
 m.append(sin(t_now))#模拟数据增量流入
 plt.plot(t,m,'-r')
 plt.draw()#注意此函数需要调用
 time.sleep(0.01)

import math
import random
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
%matplotlib inline

# set up matplotlib
is_ipython = 'inline' in matplotlib.get_backend()
if is_ipython:
 from IPython import display

plt.ion()

def plot_durations(y):
 plt.figure(2)
 plt.clf()
 plt.subplot(211)
 plt.plot(y[:,0])
 plt.subplot(212)
 plt.plot(y[:,1])

 plt.pause(0.001) # pause a bit so that plots are updated
 if is_ipython:
  display.clear_output(wait=True)
  display.display(plt.gcf())


x = np.linspace(-10,10,500)
y = []
for i in range(len(x)):
 y1 = np.cos(i/(3*3.14))
 y2 = np.sin(i/(3*3.14))
 y.append(np.array([y1,y2]))
 plot_durations(np.array(y))