Description
Description of the problem
I do get the figure, but with the matplotlib traceback:
Traceback (most recent call last):
File ~/pyvenv/mscheltienne/mne-python/lib/python3.10/site-packages/IPython/core/formatters.py:340 in __call__
return printer(obj)
File ~/pyvenv/mscheltienne/mne-python/lib/python3.10/site-packages/IPython/core/pylabtools.py:152 in print_figure
fig.canvas.print_figure(bytes_io, **kw)
File ~/pyvenv/mscheltienne/mne-python/lib/python3.10/site-packages/matplotlib/backends/backend_qtagg.py:75 in print_figure
super().print_figure(*args, **kwargs)
File ~/pyvenv/mscheltienne/mne-python/lib/python3.10/site-packages/matplotlib/backend_bases.py:2353 in print_figure
restore_bbox = _tight_bbox.adjust_bbox(
File ~/pyvenv/mscheltienne/mne-python/lib/python3.10/site-packages/matplotlib/_tight_bbox.py:28 in adjust_bbox
ax.apply_aspect(locator(ax, None))
File ~/pyvenv/mscheltienne/mne-python/lib/python3.10/site-packages/mpl_toolkits/axes_grid1/inset_locator.py:73 in __call__
bbox = self.get_window_extent(renderer)
File ~/pyvenv/mscheltienne/mne-python/lib/python3.10/site-packages/matplotlib/offsetbox.py:399 in get_window_extent
renderer = self.figure._get_renderer()
AttributeError: 'NoneType' object has no attribute '_get_renderer'
Steps to reproduce
from mne.datasets import sample
from mne.io import read_raw_fif
directory = sample.data_path() / "MEG" / "sample"
raw = read_raw_fif(directory / "sample_audvis_raw.fif", preload=False)
raw.pick("meg").crop(0, 180).load_data()
raw.compute_psd().plot()Additional information
Version of MNE: main
Version of matplotlib: 3.7.2 with Qt5Agg backend
Platform Linux-6.2.6-76060206-generic-x86_64-with-glibc2.35
Python 3.10.6 (main, Mar 10 2023, 10:55:28) [GCC 11.3.0]
Executable /home/scheltie/pyvenv/mscheltienne/mne-python/bin/python
CPU x86_64 (12 cores)
Memory 31.0 GB
Core
├☑ mne 1.5.0.dev84+g0f2ea8183
├☑ numpy 1.23.5 (OpenBLAS 0.3.20 with 12 threads)
├☑ scipy 1.10.1
├☑ matplotlib 3.7.2 (backend=Qt5Agg)
├☑ pooch 1.7.0
└☑ jinja2 3.1.2
Numerical (optional)
├☑ sklearn 1.2.2
├☑ numba 0.56.4
├☑ nibabel 5.1.0
├☑ nilearn 0.10.0
├☑ dipy 1.7.0
├☑ openmeeg 2.5.6
├☑ pandas 2.0.0
└☐ unavailable cupy
Visualization (optional)
├☑ pyvista 0.37.0 (OpenGL 4.6 (Core Profile) Mesa 22.3.5 via Mesa Intel(R) UHD Graphics 770 (ADL-S GT1))
├☑ pyvistaqt 0.10.0
├☑ ipyvtklink 0.2.3
├☑ vtk 9.2.6
├☑ qtpy 2.3.1 (PyQt5=5.15.2)
├☑ ipympl 0.9.3
├☑ pyqtgraph 0.13.3
└☑ mne-qt-browser 0.6.0.dev4+gc912752
Ecosystem (optional)
├☑ mne-bids 0.13.dev0
├☑ mne-connectivity 0.6.0dev0
└☐ unavailable mne-nirs, mne-features, mne-icalabel, mne-bids-pipeline
Anyone else has this traceback?