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Sourcecode: matplotlib version File versions


import numpy as np
from pylab import figure, show

X = np.random.rand(100, 200)
xs = np.mean(X, axis=1)
ys = np.std(X, axis=1)

fig = figure()
ax = fig.add_subplot(211)
ax.set_title('click on point to plot time series')
line, = ax.plot(xs, ys, 'o', picker=5)  # 5 points tolerance
ax2 = fig.add_subplot(212)

class PointBrowser:
    Click on a point to select and highlight it -- the data that
    generated the point will be shown in the lower axes.  Use the 'n'
    and 'p' keys to browse through the next and pervious points
    def __init__(self):
        self.lastind = 0

        self.text = ax.text(0.05, 0.95, 'selected: none',
                            transform=ax.transAxes, va='top')
        self.selected,  = ax.plot([xs[0]], [ys[0]], 'o', ms=12, alpha=0.4,
                                  color='yellow', visible=False)

    def onpress(self, event):
        if self.lastind is None: return
        if event.key not in ('n', 'p'): return
        if event.key=='n': inc = 1
        else:  inc = -1

        self.lastind += inc
        self.lastind = np.clip(self.lastind, 0, len(xs)-1)

    def onpick(self, event):

       if event.artist!=line: return True

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

       # the click locations
       x = event.mouseevent.xdata
       y = event.mouseevent.ydata

       distances = np.hypot(x-xs[event.ind], y-ys[event.ind])
       indmin = distances.argmin()
       dataind = event.ind[indmin]

       self.lastind = dataind

    def update(self):
        if self.lastind is None: return

        dataind = self.lastind


        ax2.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f'%(xs[dataind], ys[dataind]),
                 transform=ax2.transAxes, va='top')
        ax2.set_ylim(-0.5, 1.5)
        self.selected.set_data(xs[dataind], ys[dataind])

        self.text.set_text('selected: %d'%dataind)

browser = PointBrowser()

fig.canvas.mpl_connect('pick_event', browser.onpick)
fig.canvas.mpl_connect('key_press_event', browser.onpress)


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