.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_gallery_event_handling_pick_event_demo2.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_event_handling_pick_event_demo2.py:


================
Pick Event Demo2
================

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.




.. image:: /gallery/event_handling/images/sphx_glr_pick_event_demo2_001.png
    :class: sphx-glr-single-img





.. code-block:: python

    import numpy as np
    import matplotlib.pyplot as plt


    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=5)  # 5 points tolerance


    def onpick(event):

        if event.artist != line:
            return True

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

        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()
        return True

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

    plt.show()


.. _sphx_glr_download_gallery_event_handling_pick_event_demo2.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: pick_event_demo2.py <pick_event_demo2.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: pick_event_demo2.ipynb <pick_event_demo2.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_
