This repository hosts the code for an alternative backend for plotting 2D-Data with MNE-Python.
The backend is based on pyqtgraph which uses Qt's Graphics View Framework for the plotting. Development started as a 2021's Google Summer of Code Project.
Install full MNE-Python with the instructions provided here or install minimal MNE-Python with
pip install mne matplotlib mne-qt-browser
or
conda install -c conda-forge mne-base matplotlib mne-qt-browser
The backend supports plotting for the following MNE-Python methods:
mne.io.Raw.plot()
mne.Epochs.plot()
mne.preprocessing.ICA.plot_sources(raw)
mne.preprocessing.ICA.plot_sources(epochs)
In the following example, we'll read M/EEG raw data from the MNE sample
dataset
and plot it using the qt
-backend.
(For mne-version >= 1.0 the qt
-backend will be the default)
from pathlib import Path
import mne
sample_dir = mne.datasets.sample.data_path()
raw_path = Path(sample_dir) / 'MEG' / 'sample' / 'sample_audvis_raw.fif'
raw = mne.io.read_raw(raw_path)
mne.viz.set_browser_backend('qt') # Enable mne-qt-browser backend if mne < 1.0
raw.plot(block=True)
If the plot is not showing, search for solutions in the troubleshooting section below.
This will use the mne-qt-browser
for the current Python session. If you
want to make this change permanent, so you don't have to use the
set_browser_backend()
each time after restarting Python, run the following
line to modify your MNE configuration file:
import mne
mne.set_config('MNE_BROWSER_BACKEND', 'qt')
If you are running a script containing raw.plot()
like
python example_script.py
the plot will not stay open when the script is done.
To solve this either change raw.plot()
to raw.plot(block=True)
or run the script with the interactive flag
python -i example_script.py
If the integration of the Qt event loop is not activated for IPython, a plot with raw.plot()
will freeze.
Do avoid that either change raw.plot()
to raw.plot(block=True)
or activate the integration of the event loop with
%gui qt5
Please report bugs and feature requests in the issues of this repository.
You can run a benchmark locally with:
pytest -m benchmark mne_qt_browser
To run the PyQtGraph tests you have to run:
pytest mne_qt_browser/tests/test_pg_specific.py
Additionally, clone mne-python, and then run:
pytest -m pgtest ../mne-python/mne/viz/tests
If you do not have OpenGL installed, this will currently raise errors, and
you'll need to add this line to mne/conftest.py
after the error::
line:
ignore:.*PyOpenGL was not found.*:RuntimeWarning