# Pick event demo 2#

Compute the mean (mu) and standard deviation (sigma) of 100 data sets and plot mu vs. sigma. When you click on one of the (mu, sigma) points, plot the raw data from the dataset that generated this point.

Note

This example exercises the interactive capabilities of Matplotlib, and this will not appear in the static documentation. Please run this code on your machine to see the interactivity.

You can copy and paste individual parts, or download the entire example using the link at the bottom of the page.

import numpy as np
import matplotlib.pyplot as plt

# Fixing random state for reproducibility
np.random.seed(19680801)

X = np.random.rand(100, 1000)
xs = np.mean(X, axis=1)
ys = np.std(X, axis=1)

fig, ax = plt.subplots()
ax.set_title('click on point to plot time series')
line, = ax.plot(xs, ys, 'o', picker=True, pickradius=5)

def onpick(event):

if event.artist != line:
return

N = len(event.ind)
if not N:
return

figi, axs = plt.subplots(N, squeeze=False)
for ax, dataind in zip(axs.flat, event.ind):
ax.plot(X[dataind])
ax.text(.05, .9, 'mu=%1.3f\nsigma=%1.3f' % (xs[dataind], ys[dataind]),
transform=ax.transAxes, va='top')
ax.set_ylim(-0.5, 1.5)
figi.show()

fig.canvas.mpl_connect('pick_event', onpick)

plt.show()


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