mne.viz.plot_bem shows source space only in one slice

[mariahakonen]

Describe the bug

I have created source space with mne.setup_volume_source_space and tried to visualize it with mne.viz.plot_bem. I have used sample data and ran the commands following this example: https://mne.tools/dev/auto_tutorials/source-modeling/plot_forward.html#sphx-glr-auto-tutorials-source-modeling-plot-forward-py

However, the source space is shown only in one slice.

I also got the same problem with my own data.

Steps to reproduce

import os.path as op
import mne
from mne.datasets import sample
data_path = sample.data_path()

raw_fname = data_path + '/MEG/sample/sample_audvis_raw.fif'

subjects_dir = data_path + '/subjects'
subject = 'sample'

surface = op.join(subjects_dir, subject, 'bem', 'inner_skull.surf')
vol_src = mne.setup_volume_source_space(subject, subjects_dir=subjects_dir,
                                        surface=surface)
print(vol_src)

mne.viz.plot_bem(subject=subject, subjects_dir=subjects_dir,
                 brain_surfaces='white', src=vol_src, orientation='coronal')

Expected results

Actual results

Additional information

Platform: Linux-3.10.0-1062.4.3.el7.x86_64-x86_64-with-centos-7.8.2003-Core Python: 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31) [GCC 7.3.0] Executable: /share/apps2/anaconda/anaconda3/latest/envs/neuroimaging2/bin/python CPU: x86_64: 12 cores Memory: 251.7 GB

mne: 0.19.1 numpy: 1.17.2 {blas=mkl_rt, lapack=mkl_rt} scipy: 1.3.1 matplotlib: 3.1.1 {backend=Qt5Agg}

sklearn: 0.21.3 numba: Not found nibabel: 2.4.1 cupy: Not found pandas: 0.25.2 dipy: Not found mayavi: 4.6.2 {qt_api=pyqt5, PyQt5=5.9.2} pyvista: Not found vtk: 8.1.1

[agramfort]

I cannot reproduce. I get the expected results with the code you shared.

can you try with the latest version of mne which is 0.20?

[mariahakonen]

Thanks a lot! It seems to work with mne 0.20.4.