.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/event_handling/data_browser.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. meta::
        :keywords: codex

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

        :ref:`Go to the end <sphx_glr_download_gallery_event_handling_data_browser.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_event_handling_data_browser.py:


============
Data browser
============

Connecting data between multiple canvases.

This example covers how to interact data with multiple canvases. This
lets you select and highlight a point on one axis, and generating the
data of that point on the other axis.

.. 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.

.. GENERATED FROM PYTHON SOURCE LINES 20-111



.. image-sg:: /gallery/event_handling/images/sphx_glr_data_browser_001.png
   :alt: click on point to plot time series
   :srcset: /gallery/event_handling/images/sphx_glr_data_browser_001.png, /gallery/event_handling/images/sphx_glr_data_browser_001_2_00x.png 2.00x
   :class: sphx-glr-single-img





.. code-block:: Python

    import numpy as np


    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 previous 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 on_press(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)
            self.update()

        def on_pick(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
            self.update()

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

            dataind = self.lastind

            ax2.clear()
            ax2.plot(X[dataind])

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

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


    if __name__ == '__main__':
        import matplotlib.pyplot as plt

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

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

        fig, (ax, ax2) = plt.subplots(2, 1)
        ax.set_title('click on point to plot time series')
        line, = ax.plot(xs, ys, 'o', picker=True, pickradius=5)

        browser = PointBrowser()

        fig.canvas.mpl_connect('pick_event', browser.on_pick)
        fig.canvas.mpl_connect('key_press_event', browser.on_press)

        plt.show()


.. _sphx_glr_download_gallery_event_handling_data_browser.py:

.. only:: html

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

    .. container:: sphx-glr-download sphx-glr-download-jupyter

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

    .. container:: sphx-glr-download sphx-glr-download-python

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


.. only:: html

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

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_