def __init__(self, file_path, delimiter=','):
SortingExtractor.__init__(self)
if os.path.isfile(file_path):
self._spike_clusters = sbio.SpikeClusters()
self._spike_clusters.fromCSV(file_path, None, delimiter=delimiter)
else:
raise FileNotFoundError(
'the ground truth file "{}" could not be found'.format(
file_path))
def __init__(self, file_path, delimiter=','):
assert HAVE_SBEX, self.installation_mesg
SortingExtractor.__init__(self)
if os.path.isfile(file_path):
self._spike_clusters = sbio.SpikeClusters()
self._spike_clusters.fromCSV(file_path, None, delimiter=delimiter)
else:
raise FileNotFoundError('the ground truth file "{}" could not be found'.format(file_path))
self._kwargs = {'file_path': str(Path(file_path).absolute()), 'delimiter': delimiter}
def __init__(self, file_path, sampling_frequency, delimiter=','):
assert self.installed, self.installation_mesg
assert Path(file_path
).suffix == ".csv", "The 'file_path' should be a csv file!"
if Path(file_path).is_file():
spike_clusters = sbio.SpikeClusters()
spike_clusters.fromCSV(str(file_path), None, delimiter=delimiter)
else:
raise FileNotFoundError(
f'The ground truth file {file_path} could not be found')
BaseSorting.__init__(self,
unit_ids=spike_clusters.keys(),
sampling_frequency=sampling_frequency)
sorting_segment = SHYBRIDSortingSegment(spike_clusters)
self.add_sorting_segment(sorting_segment)
self._kwargs = {
'file_path': str(Path(file_path).absolute()),
'sampling_frequency': sampling_frequency,
'delimiter': delimiter
}