# Plot the MNE brain and helmet¶

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

Out:

```Reading inverse operator decomposition from /home/circleci/mne_data/MNE-sample-data/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif...
[done]
[done]
305 x 305 full covariance (kind = 1) found.
Read a total of 4 projection items:
PCA-v1 (1 x 102) active
PCA-v2 (1 x 102) active
PCA-v3 (1 x 102) active
Average EEG reference (1 x 60) active
22494 x 22494 diagonal covariance (kind = 2) found.
22494 x 22494 diagonal covariance (kind = 6) found.
22494 x 22494 diagonal covariance (kind = 5) found.
Did not find the desired covariance matrix (kind = 3)
Computing patch statistics...
[done]
Computing patch statistics...
[done]
Read a total of 4 projection items:
PCA-v1 (1 x 102) active
PCA-v2 (1 x 102) active
PCA-v3 (1 x 102) active
Average EEG reference (1 x 60) active
Source spaces transformed to the inverse solution coordinate frame
Getting helmet for system 306m
Prepare MEG mapping...
Computing dot products for 305 coils...
Computing dot products for 304 surface locations...
Preparing the mapping matrix...
Truncating at 210/305 components to omit less than 0.0001 (9.9e-05)
```

```import os.path as op
import mne

sample_path = mne.datasets.sample.data_path()
subjects_dir = op.join(sample_path, 'subjects')
fname_evoked = op.join(sample_path, 'MEG', 'sample', 'sample_audvis-ave.fif')
fname_inv = op.join(sample_path, 'MEG', 'sample',
'sample_audvis-meg-oct-6-meg-inv.fif')
fname_trans = op.join(sample_path, 'MEG', 'sample',
'sample_audvis_raw-trans.fif')
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)
mne.viz.set_3d_view(
fig, azimuth=40, elevation=87, focalpoint=(0., -0.01, 0.04), roll=-25,
distance=0.55)
```

Total running time of the script: ( 0 minutes 5.149 seconds)

Estimated memory usage: 103 MB

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