BCI2kReader 0.32.dev0

# BCI2kReader [](https://travis-ci.com/neurotechcenter/BCI2kReader) Python 3 and Python 2 compatible BCI2000 .dat file reader.

Reader for BCI2000 (https://www.neurotechcenter.org/research/bci2000/dissemination) .dat files. This project is a wrapper using the reader developed for the BcPy2000 project (http://bci2000.org/downloads/BCPy2000/BCPy2000.html)

to install the current release package use:

pip install BCI2kReader

This package is still under development, use with caution!

### USAGE:

from BCI2kReader import BCI2kReader as b2k

with b2k.BCI2kReader(‘yourbci2000testfile.dat’) as test: #opens a stream to the dat file

test.samplingrate # sampling rate

##### # you can use the reader for random access using read(), seek()

my_signals=test.signals #reads the whole file and stores it in a numpy matrix channels (channels,datapoints) my_states=test.states #reads all states as a dictionary .. my_signals, my_states=test.readall() # my_signals, my_states=test.read(-1) # reads from current position until end my_states[‘Running’] # access to the Running state

##### # By default calling test.signals, test.states and test.readall() caches all data in the object, this default behaviour can be changed by either calling the constructor with usecache=false or by calling .usecache(False). The cache can be cleared by calling .purge(), which should be called after you set usecache to false to free the memory. #### # the reader object also supports direct slicing

signalslice, stateslice = test[0:100] #returns the first 100 items, # this works with cached and non cached mode and does not alter the current position of the file pointer

#### # Slicing with states

test.states[:100] # returns all states within the slice frame # test.states[‘Running’][:,:100] is equivalent to test.states[:100][‘Running’] signals, states=test[test.States[‘StimulusCode’] == 1] # binary masks work in cached and uncached mode