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jsiegle avatar jsiegle commented on June 24, 2024

Hi Sam –

You can do this fairly easily using numpy.ndarray.tofile

The .dat files don't have a header, so you can load them efficiently using memory mapping. You will need to know the number of channels in the file to do this (check the structure.oebin file for this number).

import numpy as np
data = np.memmap(filename, dtype='int16')
data = np.reshape(data, (data.size // numChannels, numChannels)

Once you have the data loaded, you can write it to a file using:

f = open(newfilename, 'wb')
data.tofile(f)
f.close()

Now, you can add additional recordings to the same file by opening the file in "append" mode:

f = open(newfilename, 'a')
data2.tofile(f)
f.close()

Let me know if that works! Just keep in mind that this may be pretty slow if your data files are large.

from analysis-tools.

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