Package for the analysis of EEG, ECoG and other electrophysiology modalities. Allows for visualization of the data and sleep stage scoring in a GUI. Provides automatic detectors for spindles and slow waves.
Features
Can read files of format:
Axon (.abf, ABF2 only)
BCI2000 (.dat)
Blackrock (.nev, .ns2, .ns3, .ns5)
Brain Vision (.vhdr, .vmrk, .eeg / .dat)
EEGLAB (.set, .set / .fdt)
European Data Format (.edf)
EGI MFF (.mff)
Fieldtrip (.mat)
mne FIFF (.fiff)
SystemPlus Micromed (.trc)
Moberg (“EEG,Composite,SampleSeries,Composite,MRIAmp,data”)
openephys (.continuous, .openephys)
BIDS-formatted data file
Interface for Sleep Scoring
Computes frequency analysis (spectrogram), time-frequency analysis (short-time spectrogram, Morlet wavelet)
Detection of spindles and slow waves
Pure Python
Installation
Install wonambi by running:
pip3 install wonambi
If you want to scroll recordings and do some sleep scoring (requires PyQt5)
wonambi
Run it!
From the command line, simply type:
wonambi
To open a dataset directly, add the full path to the file you want to open:
wonambi /home/me/sleep_recordings.edf
Documentation
See Documentation
Change Log
See Change Log
Requirements
Python 3.6 or later
numpy
scipy
Optional Requirements
PyQt5 (optional for sleep scoring GUI)
python-vlc (optional, to watch embedded movies)
vispy (optional to plot 3D brain surfaces and electrodes)
h5py (optional to read FieldTrip Matlab files)
mne (optional, to export to mne FIFF files)
nibabel (optional to read freesurfer)
tensorpac (optional to run phase-amplitude analysis, tensorpac version should be 0.5.6)
fooof 1.0 (optional to run parametrization of power spectra)
Status
License
The project is licensed under the 3-clause BSD license.
Release files for wonambi 7.17
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| wonambi-7.17.tar.gz | 325.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| wonambi-7.17-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 672.0 kB
Release files / wonambi-7.17.tar.gz
| Download URL | wonambi-7.17.tar.gz |
|---|---|
| Size | 325.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d3f1c87294b9580b3d6445087ce3a03fd13d3f37e46760ee551b3c8dec086413
|
|
BLAKE2b-256 checksum How to use checksums |
a4acdf50ab1ccd21b2af8d1dea5c9fabbd9053d34a7665e4c3ecf6aca52bd0fe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
|
Release files / wonambi-7.17-py3-none-any.whl
| Download URL | wonambi-7.17-py3-none-any.whl |
|---|---|
| Size | 346.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
71b5e51858b271b9795155d52cac44fcd2c313afa1391287f9238ac4ce5539b3
|
|
BLAKE2b-256 checksum How to use checksums |
a386bc827acecccaf4e5e310bd62c5d7a2de83ce976012f7680f9f9e1597f5b7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
|
Security for wonambi 7.17
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
