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A python implementation of the Unisens standard

Project description

Python package


Implementation of the Unisens data storage format


Stable version can be installed via pip install pyunisens

or most recent version via pip install git+

pyunisens is running on Python 3.6+


You can load any unisens object simply like this

import unisens

u = unisens.Unisens('c:/folder/dataset/') # folder containing the unisens.xml

Entries are saved under .entries can be accessed either via attributes or using the unisens object as a dictionary


# four ways to Rome
signal = u.signal_bin
signal = u['signal.bin']
signal = u.entries['signal.bin']
signal = u[0]

# shortcuts also work, if they are not ambiguous
signal = u.signal
signal = u['signal']

# signalEntry

Data can be loaded (if datatypeis supported, ie a standard numpy dtype) via data= signal.get_data()

You can add Entries simply by

import numpy as np
from unisens import SignalEntry

data = np.random(2, 2560)
s = SignalEntry(id='eeg.bin', parent=u)
# parent=u makes sure the signal is added to this Unisens object
# saving the data to eeg.bin
s.set_data(data, sampleRate=256, contentClass='EEG') # will update the unisens.xml


More documentation can be found at and in the function descriptors

Bug reports / feedback

Please report any bugs or improvements via a Github issue.

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