Description
Description of the problem
When using Evoked.plot() (assigning it to a figure handle) and then trying to export from that figure handle to a vector graphic (SVG, EPS or PDF), I get error messages like the one below (one for each axis / plot in the figure). Exporting as PNG works fine. Apparently, there seems to be a missing attribute copy_from_bbox.
Traceback (most recent call last):
File "/opt/Software4EEG/MNE/lib/python3.12/site-packages/matplotlib/cbook.py", line 361, in process
func(*args, **kwargs)
File "/opt/Software4EEG/MNE/lib/python3.12/site-packages/matplotlib/widgets.py", line 2167, in update_background
self.background = self.canvas.copy_from_bbox(self.ax.bbox)
^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'FigureCanvasSVG' object has no attribute 'copy_from_bbox'
Steps to reproduce
Use the code and the data from https://mne.tools/stable/auto_examples/visualization/channel_epochs_image.html (up to where epochs is created). Afterwards, use:
fig = epochs.average().plot()
fig.savefig('Trial.svg')
The error thrown after calling the last command.
fig.savefig('Trial.png') works without any problem, i.e., it is not a problem with generating the plot itself.Link to data
See above. But I assume, it would produce the error whenever one assigns Evoked.plot() to a figure handle and then tries to save a vector graphics (that requires a bounding box).
Expected results
Export of the figure without any error messages.
Additional information: It appears as if in some cases the exported figures can be read by Inkscape, in other cases they seem to contain mistakes and Inkscape crashes. I could not determine yet, why the exported figures sometimes seems to have valid format.
Actual results
Export of the figure with an error message.
Resulting SVG-files work sometimes, but not always.
Additional information
Platform Linux-6.11.0-21-generic-x86_64-with-glibc2.39
Python 3.12.3 (main, Feb 4 2025, 14:48:35) [GCC 13.3.0]
Executable /opt/Software4EEG/MNE/bin/python
CPU Intel(R) Core(TM) Ultra 5 135U (14 cores)
Memory 30.8 GiB
Core
├☑ mne 1.9.0 (latest release)
├☑ numpy 2.2.4 (OpenBLAS 0.3.28 with 14 threads)
├☑ scipy 1.15.2
└☑ matplotlib 3.10.1 (backend=qtagg)
Numerical (optional)
├☑ sklearn 1.6.1
├☑ h5io 0.2.4
├☑ h5py 3.13.0
└☐ unavailable numba, nibabel, nilearn, dipy, openmeeg, cupy, pandas
Visualization (optional)
├☑ qtpy 2.4.3 (PySide6=6.9.0)
├☑ pyqtgraph 0.13.7
├☑ mne-qt-browser 0.7.1
└☐ unavailable pyvista, pyvistaqt, vtk, ipympl, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify
Ecosystem (optional)
├☑ mne-bids 0.16.0
├☑ mne-icalabel 0.7.0
├☑ edfio 0.4.8
├☑ pybv 0.7.6
└☐ unavailable mne-nirs, mne-features, mne-connectivity, mne-bids-pipeline, neo, eeglabio, mffpy