Plot the MNE brain and helmet

This tutorial shows how to make the MNE helmet + brain image.

# Authors: The MNE-Python contributors.
# License: BSD-3-Clause
# Copyright the MNE-Python contributors.

import mne

sample_path = mne.datasets.sample.data_path()
subjects_dir = sample_path / "subjects"
fname_evoked = sample_path / "MEG" / "sample" / "sample_audvis-ave.fif"
fname_inv = sample_path / "MEG" / "sample" / "sample_audvis-meg-oct-6-meg-inv.fif"
fname_trans = sample_path / "MEG" / "sample" / "sample_audvis_raw-trans.fif"
inv = mne.minimum_norm.read_inverse_operator(fname_inv)
evoked = mne.read_evokeds(
    fname_evoked,
    baseline=(None, 0),
    proj=True,
    verbose=False,
    condition="Left Auditory",
)
maps = mne.make_field_map(
    evoked,
    trans=fname_trans,
    ch_type="meg",
    subject="sample",
    subjects_dir=subjects_dir,
)
time = 0.083
fig = mne.viz.create_3d_figure((256, 256))
mne.viz.plot_alignment(
    evoked.info,
    subject="sample",
    subjects_dir=subjects_dir,
    fig=fig,
    trans=fname_trans,
    meg="sensors",
    eeg=False,
    surfaces="pial",
    coord_frame="mri",
)
evoked.plot_field(
    maps, time=time, fig=fig, time_label=None, vmax=5e-13, time_viewer=False
)
mne.viz.set_3d_view(
    fig,
    azimuth=40,
    elevation=87,
    focalpoint=(0.0, -0.01, 0.04),
    roll=-25,
    distance=0.55,
)

Estimated memory usage: 0 MB