{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n\n# Plotting sensor layouts of MEG systems\n\nShow sensor layouts of different MEG systems.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# Author: Eric Larson <larson.eric.d@gmail.com>\n#\n# License: BSD-3-Clause\n# Copyright the MNE-Python contributors."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from pathlib import Path\n\nimport mne\nfrom mne.datasets import sample, spm_face, testing\nfrom mne.io import (\n    read_raw_artemis123,\n    read_raw_bti,\n    read_raw_ctf,\n    read_raw_fif,\n    read_raw_kit,\n)\nfrom mne.viz import plot_alignment, set_3d_title\n\nprint(__doc__)\n\nroot_path = Path(mne.__file__).parent.absolute()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Neuromag\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "kwargs = dict(eeg=False, coord_frame=\"meg\", show_axes=True, verbose=True)\n\nraw = read_raw_fif(sample.data_path() / \"MEG\" / \"sample\" / \"sample_audvis_raw.fif\")\nfig = plot_alignment(raw.info, meg=(\"helmet\", \"sensors\"), **kwargs)\nset_3d_title(figure=fig, title=\"Neuromag\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## CTF\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "raw = read_raw_ctf(\n    spm_face.data_path() / \"MEG\" / \"spm\" / \"SPM_CTF_MEG_example_faces1_3D.ds\"\n)\nfig = plot_alignment(raw.info, meg=(\"helmet\", \"sensors\", \"ref\"), **kwargs)\nset_3d_title(figure=fig, title=\"CTF 275\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## BTi\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "bti_path = root_path / \"io\" / \"bti\" / \"tests\" / \"data\"\nraw = read_raw_bti(\n    bti_path / \"test_pdf_linux\",\n    bti_path / \"test_config_linux\",\n    bti_path / \"test_hs_linux\",\n)\nfig = plot_alignment(raw.info, meg=(\"helmet\", \"sensors\", \"ref\"), **kwargs)\nset_3d_title(figure=fig, title=\"Magnes 3600wh\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## KIT\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "kit_path = root_path / \"io\" / \"kit\" / \"tests\" / \"data\"\nraw = read_raw_kit(kit_path / \"test.sqd\")\nfig = plot_alignment(raw.info, meg=(\"helmet\", \"sensors\"), **kwargs)\nset_3d_title(figure=fig, title=\"KIT\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Artemis123\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "raw = read_raw_artemis123(\n    testing.data_path()\n    / \"ARTEMIS123\"\n    / \"Artemis_Data_2017-04-14-10h-38m-59s_Phantom_1k_HPI_1s.bin\"\n)\nfig = plot_alignment(raw.info, meg=(\"helmet\", \"sensors\", \"ref\"), **kwargs)\nset_3d_title(figure=fig, title=\"Artemis123\")"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.2"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}