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sklearn: 1.0.2
numba: 0.55.1
nibabel: 3.2.2
nilearn: 0.9.1
dipy: Not found
cupy: Not found
pandas: 1.4.2
pyvista: Not found
pyvistaqt: Not found
ipyvtklink: Not found
vtk: Not found
PyQt5: 5.15.6
ipympl: Not found
pooch: v1.6.0
mne_bids: 0.10
mne_nirs: Not found
mne_features: 0.2
mne_qt_browser: 0.3.0
mne_connectivity: Not found
The text was updated successfully, but these errors were encountered:
I think this was fixed by #10500 which got merged just after 1.0.1 was released. Can you try latest MNE-Python main and see if it helps? You can do for example:
Describe the bug
When using EEG epochs the theme argument to the plot function is ignored.
Steps to reproduce
eps[1800].plot(theme='dark')
(For ref:)
Expected results
Use the theme specified in the function call
Actual results
The theme set in
MNE_BROWSER_THEME
is used and the specified theme is ignored.Additional information
Platform: Linux-5.13.0-39-generic-x86_64-with-glibc2.31
Python: 3.10.4 (main, Mar 24 2022, 16:12:56) [GCC 9.4.0]
Executable: /home/allard/pymain/bin/python3.10
CPU: x86_64: 24 cores
Memory: 62.5 GB
mne: 1.0.1
numpy: 1.21.6 {blas=openblas, lapack=openblas}
scipy: 1.8.0
matplotlib: 3.5.1 {backend=Qt5Agg}
sklearn: 1.0.2
numba: 0.55.1
nibabel: 3.2.2
nilearn: 0.9.1
dipy: Not found
cupy: Not found
pandas: 1.4.2
pyvista: Not found
pyvistaqt: Not found
ipyvtklink: Not found
vtk: Not found
PyQt5: 5.15.6
ipympl: Not found
pooch: v1.6.0
mne_bids: 0.10
mne_nirs: Not found
mne_features: 0.2
mne_qt_browser: 0.3.0
mne_connectivity: Not found
The text was updated successfully, but these errors were encountered: