无法使用`matplotlib.pyplot`在jupyter笔记本上打印文本 [英] Can't print the text on jupyter notebook using `matplotlib.pyplot`

问题描述

这是我在jupyter笔记本上的示例代码:

Here is my sample code on jupyter notebook:

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(np.random.rand(10))

def onclick(event):
    print('button=%d, x=%d, y=%d, xdata=%f, ydata=%f' %
          (event.button, event.x, event.y, event.xdata, event.ydata))

cid = fig.canvas.mpl_connect('button_press_event', onclick)

推荐答案

Jupyter默认显示图的png图像.为了获得交互式图形，您需要%matplotlib notebook后端.

Jupyter by default shows png images of the plot. In order to get an interactive figure, you would need the %matplotlib notebook backend.

下一个问题是，当前无法交互式打印到单元格输出.此确切示例已经是此GitHub问题的主题. matplotlib 2.1版可能需要解决方案.

The next problem is that it's currently not possible to interactively print to the cell output. This exact example is already subject of this GitHub issue. A solution may be expected for matplotlib version 2.1.

到目前为止，您可能希望将输出打印到图形画布上，例如作为图的标题.

As of now you might want to print the output to the figure canvas, e.g. as figure title.

举个例子:

import matplotlib.pyplot as plt
import numpy as np
%matplotlib notebook 

fig = plt.figure();
ax = fig.add_subplot(111)
ax.plot(np.random.rand(10))

def onclick(event):
    a = ('button=%d, x=%d, y=%d, xdata=%f, ydata=%f' %
          (event.button, event.x, event.y, event.xdata, event.ydata))
    ax.set_title(a)

cid = fig.canvas.mpl_connect('button_press_event', onclick)

plt.show()

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