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

.. only:: html

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

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

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

.. _sphx_glr__gallery_controllers_specify_integers.py:


Specify IDs with integers
=========================

Specify controllers to sync subplots using integer IDs

.. GENERATED FROM PYTHON SOURCE LINES 7-50



.. image-sg:: /_gallery/controllers/images/sphx_glr_specify_integers_001.webp
   :alt: specify integers
   :srcset: /_gallery/controllers/images/sphx_glr_specify_integers_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 numpy as np
    import fastplotlib as fpl


    xs = np.linspace(0, 2 * np.pi, 100)
    sine = np.sin(xs)
    cosine = np.cos(xs)

    # controller IDs
    # one controller is created for each unique ID
    # if the IDs are the same, those subplots will be synced
    ids = [
        [0, 1],
        [2, 0],
    ]

    names = [f"contr. id: {i}" for i in np.asarray(ids).ravel()]

    figure = fpl.Figure(
        shape=(2, 2),
        controller_ids=ids,
        names=names,
        size=(700, 560),
    )

    figure[0, 0].add_line(np.column_stack([xs, sine]))

    figure[0, 1].add_line(np.random.rand(100))
    figure[1, 0].add_line(np.random.rand(100))

    figure[1, 1].add_line(np.column_stack([xs, cosine]))

    figure.show(maintain_aspect=False)


    # 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 0.753 seconds)


.. _sphx_glr_download__gallery_controllers_specify_integers.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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