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

.. only:: html

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

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

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

.. _sphx_glr_examples_plot_eeg_graph.py:

Plot EEG Graph.
===================

Example to plot EEG graph using EEGrasp package. The EEG graph is constructed using the
electrode positions from the Biosemi 64 channel montage. The graph is plotted in 3D and topoplot
formats.

.. GENERATED FROM PYTHON SOURCE LINES 8-9

.. code-block:: Python

    import matplotlib.pyplot as plt







.. GENERATED FROM PYTHON SOURCE LINES 10-15

.. code-block:: Python

    import mne
    import numpy as np

    from eegrasp import EEGrasp








.. GENERATED FROM PYTHON SOURCE LINES 16-23

.. code-block:: Python


    montage = mne.channels.make_standard_montage('biosemi64')
    ch_names = montage.ch_names
    EEG_pos = montage.get_positions()['ch_pos']
    # Restructure into array
    EEG_pos = np.array([pos for _, pos in EEG_pos.items()])








.. GENERATED FROM PYTHON SOURCE LINES 24-29

.. code-block:: Python


    gsp = EEGrasp(coordinates=EEG_pos, labels=ch_names)
    Z = gsp.compute_distance(EEG_pos)
    G = gsp.compute_graph(sigma=0.1, epsilon=0.2)








.. GENERATED FROM PYTHON SOURCE LINES 30-35

.. code-block:: Python


    fig, ax = gsp.plot()
    fig, ax = gsp.plot(kind='3d')

    plt.show()



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /examples/images/sphx_glr_plot_eeg_graph_001.png
         :alt: Graph(n_vertices=64, n_edges=107)
         :srcset: /examples/images/sphx_glr_plot_eeg_graph_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /examples/images/sphx_glr_plot_eeg_graph_002.png
         :alt: Graph(n_vertices=64, n_edges=107)
         :srcset: /examples/images/sphx_glr_plot_eeg_graph_002.png
         :class: sphx-glr-multi-img


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

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/eegrasp/envs/latest/lib/python3.11/site-packages/pygsp2/plotting.py:589: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored
      sc = ax.scatter(*G.coords.T,
    /home/docs/checkouts/readthedocs.org/user_builds/eegrasp/envs/latest/lib/python3.11/site-packages/pygsp2/plotting.py:589: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored
      sc = ax.scatter(*G.coords.T,





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

   **Total running time of the script:** (0 minutes 0.652 seconds)

**Estimated memory usage:**  192 MB


.. _sphx_glr_download_examples_plot_eeg_graph.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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