Testing your installation

To make sure MNE-Python was installed correctly, type the following command in a terminal:

python -c "import mne; mne.sys_info()"

Hint

If you installed MNE-Python using one of our installers, enter the above command in the Prompt.

This should display some system information along with the versions of MNE-Python and its dependencies. Typical output looks like this:

Platform:      Linux-5.0.0-1031-gcp-x86_64-with-glibc2.2.5
Python:        3.8.1 (default, Dec 20 2019, 10:06:11)  [GCC 7.4.0]
Executable:    /home/travis/virtualenv/python3.8.1/bin/python
CPU:           x86_64: 2 cores
Memory:        7.8 GB

mne:           0.21.dev0
numpy:         1.19.0.dev0+8dfaa4a {blas=openblas, lapack=openblas}
scipy:         1.5.0.dev0+f614064
matplotlib:    3.2.1 {backend=QtAgg}

sklearn:       0.22.2.post1
numba:         0.49.0
nibabel:       3.1.0
cupy:          Not found
pandas:        1.0.3
dipy:          1.1.1
pyvista:       0.25.2 {pyvistaqt=0.1.0}
vtk:           9.0.0
qtpy:          2.0.1 {PySide6=6.2.4}

If you get an error…

If you see an error like:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'mne'

This suggests that your environment containing MNE-Python is not active. If you followed the setup for 3D plotting/source analysis (i.e., you installed to a new mne environment instead of the base environment) try running conda activate mne first, and try again. If this works, you might want to set your terminal to automatically activate the mne environment each time you open a terminal:

echo conda activate mne >> ~/.bashrc    # for bash shells
echo conda activate mne >> ~/.zprofile  # for zsh shells

If something else went wrong during installation and you can’t figure it out, check out the Advanced setup instructions to see if your problem is discussed there. If not, the MNE Forum is a good resources for troubleshooting installation problems.