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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_plot_highlight_regions.py:


===============================
Highlight regions on all tracks
===============================

By calling :meth:`~pygv.viewer.GenomeViewer.set_highlight_regions` method, you can highlight multiple regions on each track.

.. GENERATED FROM PYTHON SOURCE LINES 8-25



.. image-sg:: /auto_examples/images/sphx_glr_plot_highlight_regions_001.png
   :alt: chr1
   :srcset: /auto_examples/images/sphx_glr_plot_highlight_regions_001.png, /auto_examples/images/sphx_glr_plot_highlight_regions_001_2_00x.png 2.00x
   :class: sphx-glr-single-img


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

 .. code-block:: none


    array([<Axes: title={'center': 'chr1'}, ylabel='+'>, <Axes: ylabel='-'>],
          dtype=object)





|

.. code-block:: Python

    from pygv.viewer import GenomeViewer
    from pygv.tracks.bigwig_track import BigWigTrack
    gv = GenomeViewer()

    # draw positive and negative values independently
    track_1 = BigWigTrack(
        "../examples/data/K562_GROcap_hg38_pl.chr1.bw",
        name="+", )
    gv.add_track(track_1)
    track_2 = BigWigTrack(
        "../examples/data/K562_GROcap_hg38_mn.chr1.bw",
        name="-", )
    gv.add_track(track_2)
    # highlight two loci chr1:116824346-116828474 and chr1:116845712-116846846
    # the first regions will be highlighted in yellow, the second one in red.
    gv.set_highlight_regions([116824346, 116845712], [116828474, 116846846], ["yellow", "red"])
    gv.plot("chr1", 116814729, 116857188)


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

   **Total running time of the script:** (0 minutes 0.105 seconds)


.. _sphx_glr_download_auto_examples_plot_highlight_regions.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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