.. _event_handling-pick_event_demo2:

event_handling example code: pick_event_demo2.py
================================================

[`source code <pick_event_demo2.py>`_]

::

    """
    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 = plt.figure()
    ax = fig.add_subplot(111)
    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`)