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sccn / xdf

BSD 2-Clause "Simplified" License
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Error during jitter removal: 'numpy.ndarray' object has no attribute 'append' #12

Closed gleslie closed 5 years ago

gleslie commented 7 years ago

I am receiving this error when attempting to load an xdf file using the Python library with the following command:

%pylab %matplotlib inline rcParams['figure.figsize']=(12,6) from xdf import * fn = '/home/brain/1046.xdf' streams = load_xdf(fn)

Output: Importing XDF file /home/1046.xdf... read tag: 1 at 8 bytes, length=58 read tag: 2 at 71 bytes, length=2200 found stream VAmp-0-EEG read tag: 2 at 2276 bytes, length=658 ... ... ... read tag: 6 at 365323686 bytes, length=39161 read tag: 6 at 365362852 bytes, length=41614 reached end of file. performing clock synchronization... performing jitter removal...

AttributeErrorTraceback (most recent call last)

in () ----> 1 streams = load_xdf(fn) /home/brain/xdf.pyc in load_xdf(filename, on_chunk, verbose, synchronize_clocks, handle_clock_resets, dejitter_timestamps, jitter_break_threshold_seconds, jitter_break_threshold_samples, clock_reset_threshold_seconds, clock_reset_threshold_stds, clock_reset_threshold_offset_seconds, clock_reset_threshold_offset_stds, winsor_threshold) 362 print(' performing jitter removal...') 363 temp = _jitter_removal(temp, jitter_break_threshold_seconds, --> 364 jitter_break_threshold_samples,) 365 else: 366 for stream in temp.values(): /home/brain/xdf.pyc in _jitter_removal(streams, break_threshold_seconds, break_threshold_samples) 531 indices = np.arange(range_i[0], range_i[1]+1, 1) 532 tmp_duration = len(indices) --> 533 num_samples.append(tmp_duration) 534 duration = (stream.time_stamps[range_i[1]] - 535 stream.time_stamps[range_i[0]]) AttributeError: 'numpy.ndarray' object has no attribute 'append'
SeeJayDee commented 6 years ago

Hi @gleslie ,

I was having the same issue. I've fixed it in this pull request.

~SeeJayDee