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)
Jupyter by default shows png images of the plot. In order to get an interactive figure, you would need the %matplotlib notebook
backend.
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.
As of now you might want to print the output to the figure canvas, eg as figure title.
To give an example:
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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