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

.. only:: html

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

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

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

.. _sphx_glr_gallery_dos.py:


=================
Density of states
=================

.. GENERATED FROM PYTHON SOURCE LINES 7-21



.. image-sg:: /gallery/images/sphx_glr_dos_001.png
   :alt: dos
   :srcset: /gallery/images/sphx_glr_dos_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    from fplore import FPLORun
    import matplotlib.pyplot as plt

    run = FPLORun("../example_data/graphene_slab")

    dos_data = run["+dos.total.l001"].data[0]
    plt.plot(dos_data["e"], dos_data["dos"])

    plt.axvline(0, alpha=0.2, color='k', lw=2)
    plt.xlabel(r"$(E - E_\mathrm{F})/\mathrm{eV}$")
    plt.ylabel(r"Density of States")

    plt.show()


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

   **Total running time of the script:** (0 minutes 0.403 seconds)


.. _sphx_glr_download_gallery_dos.py:

.. only:: html

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

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

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

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

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


.. only:: html

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

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