使用 ipywidgets 的交互式 matplotlib [英] Interactive matplotlib using ipywidgets

问题描述

我想在 IPython (python3) 中使用 Matplotlib 和 ipywidgets 实现一个交互式绘图.那么，我如何才能有效地做到这一点(毫不拖延地顺利更改)?

I want to implement an interactive plot using Matplotlib and ipywidgets in IPython (python3). So, how I can do this efficiently (change smoothly without delay)?

另一个问题是为什么这段代码有效?！

And another question is why this code works?!

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

x = np.linspace(0, 2 * np.pi)

def update(w = 1.0):
    fig = plt.figure()
    ax = fig.add_subplot(1, 1, 1)
    ax.plot(x, np.sin(w * x))

    fig.canvas.draw()

interact(update);

但是，这不起作用?！

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

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);

推荐答案

第二种方法适合笔记本后端

The second approach is the right one for the notebook backend

%matplotlib notebook

或者使用 ipympl.

Or with ipympl.

但是，它不适用于不更新绘图的内联后端.

However, it won't work with the inline backend which does not update the plot.

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