Convert a Tucker-Davis Technologies (TDT) to Neo's HDF5 format

tdt2h5.py

from os.path import join as pjoin
from os.path import isdir
from os import listdir
from argparse import ArgumentParser
from neo.io import TdtIO, NeoHdf5IO
from progressbar import ProgressBar


if __name__ == '__main__':
    parser = ArgumentParser(description="Convert a Tucker-Davis Technologies (TDT) to Neo's HDF5 format.")
    parser.add_argument('datatank', type=str, help="Path to the DataTank root")
    parser.add_argument('output', type=str, help="Path to the h5 file you want to create")
    args = parser.parse_args()
    
    tank = TdtIO(filename=args.datatank)
    h5file = NeoHdf5IO(filename=args.output)
    
    segment_names = [name for name in listdir(args.datatank) if isdir(pjoin(args.datatank, name))]
    for segment_name in ProgressBar()(segment_names):
        h5file.write_segment(tank.read_segment(segment_name))

This assumes NeuralEnsemble/python-neo#213 gets merged. Doing this by the whole block (as opposed to segment-by-segment) will likely run you out of memory.