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

.. only:: html

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

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

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

.. _sphx_glr__gallery_selection_tools_linear_region_line_collection.py:


LinearRegionSelectors with LineCollection
=========================================

Example showing how to use a `LinearRegionSelector` with a `LineCollection`

.. GENERATED FROM PYTHON SOURCE LINES 7-81



.. image-sg:: /_gallery/selection_tools/images/sphx_glr_linear_region_line_collection_001.webp
   :alt: linear region line collection
   :srcset: /_gallery/selection_tools/images/sphx_glr_linear_region_line_collection_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

    # data to plot
    xs = np.linspace(0, 10 * np.pi, 1_000)
    sine = np.column_stack([xs, np.sin(xs)])
    cosine = np.column_stack([xs, np.cos(xs)])

    figure = fpl.Figure((5, 1), size=(700, 1000))

    # preallocated size for zoomed data
    zoomed_prealloc = 1_000

    # sines and cosines
    data = [sine, cosine, sine, cosine]

    # make line stack
    line_stack = figure[0, 0].add_line_stack(data, separation=2)

    # make selector
    selector = line_stack.add_linear_region_selector()

    # preallocate array for storing zoomed in data
    zoomed_init = np.column_stack([np.arange(zoomed_prealloc), np.zeros(zoomed_prealloc)])

    # populate zoomed view subplots with graphics using preallocated buffer sizes
    for i, subplot in enumerate(figure):
        if i == 0:
            # skip the first one
            continue
        # make line graphics for displaying zoomed data
        subplot.add_line(zoomed_init, name="zoomed")


    def interpolate(subdata: np.ndarray, axis: int):
        """1D interpolation to display within the preallocated data array"""
        x = np.arange(0, zoomed_prealloc)
        xp = np.linspace(0, zoomed_prealloc, subdata.shape[0])

        # interpolate to preallocated size
        return np.interp(x, xp, fp=subdata[:, axis])  # use the y-values


    @selector.add_event_handler("selection")
    def update_zoomed_subplots(ev):
        """update the zoomed subplots"""
        zoomed_data = ev.get_selected_data()

        for i in range(len(zoomed_data)):
            # interpolate y-vals
            data = interpolate(zoomed_data[i], axis=1)
            figure[i + 1, 0]["zoomed"].data[:, 1] = data
            figure[i + 1, 0].auto_scale()


    # set initial selection so zoomed plots update
    selector.selection = (0, 4 * np.pi)

    # hide toolbars to reduce clutter
    for subplot in figure:
        subplot.toolbar = False

    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.run()


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

   **Total running time of the script:** (0 minutes 2.178 seconds)


.. _sphx_glr_download__gallery_selection_tools_linear_region_line_collection.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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