[PYTHON] Schreiben Sie Diagramme in Echtzeit mit Matplotlib auf dem Jupyter-Notizbuch

import matplotlib
%matplotlib inline

import numpy as np
import matplotlib.pyplot as plt

plt.ion()

from random import randint
import time

from ipywidgets import FloatProgress
from IPython.display import display, clear_output

siz = 10
dat = np.zeros((siz, siz))

fig = plt.figure()
axe = fig.add_subplot(111)

num = 1000

for i in range(num):
    clear_output(wait = True)
    
    data = np.random.rand(10)
    axe.plot(data)
    
    fig.set_size_inches(18.5, 10.5)
    display(fig)
#     time.sleep(.2)
    axe.cla()

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