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

.. only:: html

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

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

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

.. _sphx_glr__gallery_events_line_data_thickness_event.py:


Events line data thickness
==========================

Simple example of adding event handlers for line data and thickness.

.. GENERATED FROM PYTHON SOURCE LINES 7-79



.. image-sg:: /_gallery/events/images/sphx_glr_line_data_thickness_event_001.webp
   :alt: line data thickness event
   :srcset: /_gallery/events/images/sphx_glr_line_data_thickness_event_001.webp
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    /home/runner/work/fastplotlib/fastplotlib/fastplotlib/graphics/features/_base.py:18: UserWarning: casting float64 array to float32
      warn(f"casting {array.dtype} array to float32")







|

.. code-block:: Python


    # test_example = false

    import fastplotlib as fpl
    import numpy as np

    figure = fpl.Figure(size=(700, 560))

    xs = np.linspace(0, 4 * np.pi, 100)
    # sine wave
    ys = np.sin(xs)
    sine = np.column_stack([xs, ys])

    # cosine wave
    ys = np.cos(xs)
    cosine = np.column_stack([xs, ys])

    # create line graphics
    sine_graphic = figure[0, 0].add_line(data=sine)
    cosine_graphic = figure[0, 0].add_line(data=cosine, offset=(0, 4, 0))

    # make a list of the line graphics for convenience
    lines = [sine_graphic, cosine_graphic]


    def change_thickness(ev: fpl.GraphicFeatureEvent):
        # sets thickness of all the lines
        new_value = ev.info["value"]

        for g in lines:
            g.thickness = new_value


    def change_data(ev: fpl.GraphicFeatureEvent):
        # sets data of all the lines using the given event and value from the event

        # the user's slice/index
        # This can be a single int index, a slice,
        # or even a numpy array of int or bool for fancy indexing!
        indices = ev.info["key"]

        # the new values to set at the given indices
        new_values = ev.info["value"]

        # set the data for all the lines
        for g in lines:
            g.data[indices] = new_values


    # add the event handlers to the line graphics
    for g in lines:
        g.add_event_handler(change_thickness, "thickness")
        g.add_event_handler(change_data, "data")


    figure.show()
    figure[0, 0].axes.intersection = (0, 0, 0)

    # set the y-value of the middle 40 points of the sine graphic to 1
    # after the sine_graphic sets its data, the event handlers will be called
    # and therefore the cosine graphic will also set its data using the event data
    sine_graphic.data[30:70, 1] = np.ones(40)

    # set the thickness of the cosine graphic, this will trigger an event
    # that causes the sine graphic's thickness to also be set from this value
    cosine_graphic.thickness = 10

    # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively
    # please see our docs for using fastplotlib interactively in ipython and jupyter
    if __name__ == "__main__":
        print(__doc__)
        fpl.loop.run()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.365 seconds)


.. _sphx_glr_download__gallery_events_line_data_thickness_event.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: line_data_thickness_event.zip <line_data_thickness_event.zip>`


.. only:: html

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

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