[英]Interactive Graph with matplotlib and ipywidget
I am trying to follow up on a problem discussed, but not completely solved, here: Interactive matplotlib using ipywidgets 我正在尝试跟进已讨论但尚未完全解决的问题,在这里: 使用ipywidgets的交互式matplotlib
I am using Python 2.7 in a jupyter notebook environment and want the following function to be modified interactively in jupyter. 我在jupyter笔记本环境中使用Python 2.7,并希望在jupyter中交互修改以下函数。
%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. 尽管显示并可以修改滑块,但没有显示图形。
Where is my misunderstanding? 我的误会在哪里?
[EDIT] Works well now with the solution below, result: [EDIT]现在可以使用以下解决方案,效果很好:
it happens when javascript widget is not enabled in the jupyter notebook. 如果在jupyter笔记本中未启用javascript小部件,则会发生这种情况。
activate the environment where you have installed jupyter notebook. 激活您安装了jupyter笔记本电脑的环境。
run this command: 运行以下命令:
jupyter nbextension enable --py --sys-prefix widgetsnbextension
Enabling notebook extension jupyter-js-widgets/extension... - Validating: OK 启用笔记本扩展jupyter-js-widgets / extension ...-验证:确定
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