使用matplotlib和ipywidget的交互式图 [英] Interactive Graph with matplotlib and ipywidget

问题描述

我正在尝试跟进已讨论但尚未完全解决的问题，在这里:

解决方案

• 当在jupyter笔记本中未启用javascript小部件时会发生这种情况.

• 激活您安装了jupyter笔记本电脑的环境.

• 运行此命令:

  • jupyter nbextension enable --py --sys-prefix小部件nbextension
• 您将获得类似以下内容的输出:

启用笔记本扩展jupyter-js-widgets/extension ...-验证:确定

• 此外，请不要忘记在运行此命令后重新启动笔记本电脑.

I am trying to follow up on a problem discussed, but not completely solved, here: Interactive matplotlib using ipywidgets

I am using Python 2.7 in a jupyter notebook environment and want the following function to be modified interactively in jupyter.

%matplotlib notebook
from ipywidgets import *
import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 2 * np.pi)
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
line, = ax.plot(x, np.sin(x))

def update(w = 1.0):
    line.set_ydata(np.sin(w * x))
    fig.canvas.draw()

interact(update);

While the slider shows and can be modified, no graph is shown.

Where is my misunderstanding?

[EDIT] Works well now with the solution below, result:

解决方案

• it happens when javascript widget is not enabled in the jupyter notebook.

• activate the environment where you have installed jupyter notebook.

• run this command:

  • jupyter nbextension enable --py --sys-prefix widgetsnbextension
• you will get an output something like this:

Enabling notebook extension jupyter-js-widgets/extension... - Validating: OK

• also, don't forget to restart the notebook after running this command.

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