在带有Jupyter的Python Matplotlib上随时间变化的图

Question

In the following lines I report a code that generates a plot changing over the time with Python on Anaconda Spyder

import matplotlib.pyplot as plt
import numpy as np

x = np.arange(-3, 3, 0.01)
N = 1
fig = plt.figure()
ax = fig.add_subplot(111)
for N in range(8):
    y = np.sin(np.pi*x*N)
    line, = ax.plot(x, y)
    plt.draw()
    plt.pause(0.5)
    line.remove()

I would like to do the some with Jupyter, but it is not possible. Particularly it seems that the Matplotlib method .pause() does not exist on Jupyter. Is there anyone who can explain me this difference and can help me building up a code for plots variating over the time with Python on Jupyter, please?

Answer 1

It works for me if I select an interactive backend using the magic command %matplotlib ; it is likely that your Jupyter notebook settings are set to display plots inline.

import matplotlib.pyplot as plt
import numpy as np

%matplotlib

x = np.arange(-3, 3, 0.01)
N = 1
fig = plt.figure()
ax = fig.add_subplot(111)
for N in range(8):
    y = np.sin(np.pi*x*N)
    line, = ax.plot(x, y)
    plt.draw()
    plt.pause(0.5)
    line.remove()

To restore your setings, use the magic %matplotlib inline