.. _event_handling-pick_event_demo2: event_handling example code: pick_event_demo2.py ================================================ [`source code `_] :: """ compute the mean and standard deviation (stddev) of 100 data sets and plot mean vs stddev. When you click on one of the mu, sigma points, plot the raw data from the dataset that generated the mean and stddev. """ import numpy import matplotlib.pyplot as plt X = numpy.random.rand(100, 1000) xs = numpy.mean(X, axis=1) ys = numpy.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=5) # 5 points tolerance def onpick(event): if event.artist != line: return True N = len(event.ind) if not N: return True figi = plt.figure() for subplotnum, dataind in enumerate(event.ind): ax = figi.add_subplot(N, 1, subplotnum + 1) ax.plot(X[dataind]) ax.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f' % (xs[dataind], ys[dataind]), transform=ax.transAxes, va='top') ax.set_ylim(-0.5, 1.5) figi.show() return True fig.canvas.mpl_connect('pick_event', onpick) plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)