Plot in python to realize the instant data dynamic display method

existMatlab using the Plot function to achieve dynamic data display method summaryIn the introduction of two methods to realize the dynamic display of instant data. Considering the increasing number of people using python, coupled with my recent desire to use python to dynamically display instant data, online methods are few, solid summarized in this.

Sample Code 1

import  as plt
import numpy as np
import time
from math import *

() The key to success for #enabling interactive mode
(1)
t = [0]
t_now = 0
m = [sin(t_now)]

for i in range(2000):
 t_now = i*0.1
 (t_now)# Incremental inflow of analog data
 (sin(t_now))# Incremental inflow of analog data
 (t,m,'-r')
 ()# Note that this function requires a call to
 (0.01)

Sample Code 2

The above way, can be dynamically displayed within the pop-up drawing panel, but if you want to directly dynamic display in jupyter notebook, the above method will not work. Therefore, fill in the jupyter notebook in the feasible dynamic display sample program. For example, the use of three.
Write the code snippet here

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

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

()

def plot_durations(y):
 (2)
 ()
 (211)
 (y[:,0])
 (212)
 (y[:,1])

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


x = (-10,10,500)
y = []
for i in range(len(x)):
 y1 = (i/(3*3.14))
 y2 = (i/(3*3.14))
 (([y1,y2]))
 plot_durations((y))

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