I've a problem with "plot_sensors_connectivity" visualization

My goal is to compute EEG connectivity, so I run this code below in order to compute connectivity. con, freqs, times, n_epochs, n_tapers = spectral_connectivity(epoch, method='pli', mode='multitaper', sfreq=2048, fmin=4, fmax=8, faverage=True, mt_adaptive=False, n_jobs=1)

And, I also need to visualize the connectivity, so I use this code plot_sensors_connectivity(epoch.info, con[:, :, 0]) But, turn out it gave me this error

AttributeError: ‘NoneType’ object has no attribute ‘_Renderer’

(I have used EEG biosemi32 measuring brain wave, set montage with ‘biosemi32’) epoch.set_montage('biosemi32')

Thank you

[GuillaumeFavelier]

ERROR:root:bad X server connection. DISPLAY=

AFAIK, this means that the environment does not provide a window with an opengl context. I’m afraid this is an implicit requirement for now with the pyvista 3d backend (it’s more a vtk issue really).

A way to mitigate could be to use a xvfb server to simulate this but I’m not familiar enough with Google Colab to help you set up that. A config example is available in .circleci/config.

On the bright side, there is active work to add support for headless remote visualization as we speak in https://github.com/mne-tools/mne-python/pull/7758 for example.

Any other ideas to make it work @agramfort , @hoechenberger ?

[Sirabhop]

mne.sys_info()

Platform: Linux-4.19.104±x86_64-with-Ubuntu-18.04-bionic Python: 3.6.9 (default, Apr 18 2020, 01:56:04) [GCC 8.4.0] Executable: /usr/bin/python3 CPU: x86_64: 2 cores Memory: 12.7 GB

mne: 0.20.4 numpy: 1.18.4 {blas=openblas, lapack=openblas} scipy: 1.4.1 matplotlib: 3.2.1 {backend=module://ipykernel.pylab.backend_inline}

sklearn: 0.22.2.post1 numba: 0.48.0 nibabel: 3.0.2 cupy: Not found pandas: 1.0.3 dipy: Not found mayavi: Not found pyvista: 0.24.2 vtk: 8.1.2