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

.. only:: html

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

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

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

.. _sphx_glr_examples_timeseries_statevector.py:


.. sectionauthor:: Duncan Macleod <duncan.macleod@ligo.org>
.. currentmodule:: gwpy.timeseries

Plotting segments for a `StateVector`
#####################################

Confident detection of gravitational-wave signals is critically dependent
on understanding the quality of the data searched.
Alongside the strain *h(t)* data, |GWOSC|_ also
releases a *Data Quality* :ref:`state vector <gwpy-statevector>`.
We can use this to check on the quality of the data from the LIGO Livingston
detector around |GW170817|_.

.. GENERATED FROM PYTHON SOURCE LINES 35-36

First, we can import the `StateVector` class:

.. GENERATED FROM PYTHON SOURCE LINES 36-38

.. code-block:: Python

    from gwpy.timeseries import StateVector








.. GENERATED FROM PYTHON SOURCE LINES 39-40

and download the state information surrounding GW170817:

.. GENERATED FROM PYTHON SOURCE LINES 40-47

.. code-block:: Python

    data = StateVector.fetch_open_data(
        "L1",
        1187008882 - 100,
        1187008882 + 100,
        verbose=True,
    )





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

 .. code-block:: none

    Fetched 1 URLs from gwosc.org for [1187008782 .. 1187008982))
    Reading data... [Done]




.. GENERATED FROM PYTHON SOURCE LINES 48-50

Finally, we make a :meth:`~StateVector.plot`, passing `insetlabels=True` to
display the bit names inside the axes:

.. GENERATED FROM PYTHON SOURCE LINES 50-57

.. code-block:: Python

    plot = data.plot(insetlabels=True)
    ax = plot.gca()
    ax.set_xscale("seconds", epoch=1187008882)
    ax.axvline(1187008882, color="orange", linestyle="--")
    ax.set_title("LIGO-Livingston data quality around GW170817")
    plot.show()




.. image-sg:: /examples/timeseries/images/sphx_glr_statevector_001.png
   :alt: LIGO-Livingston data quality around GW170817
   :srcset: /examples/timeseries/images/sphx_glr_statevector_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 58-63

This plot shows that for a short time exactly overlapping with GW170817
there was a data quality issue recorded that would negatively impact a
search for generic gravitational-wave transients (bursts).
For more details on this *glitch*, and on how it was excised, please see
the science summary for |GW170817|_.


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

   **Total running time of the script:** (0 minutes 0.146 seconds)


.. _sphx_glr_download_examples_timeseries_statevector.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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