def test_get_neurodata_type(self):
ts1 = TimeSeries('test_ts1', [0, 1, 2, 3, 4, 5], 'grams', timestamps=[0.0, 0.1, 0.2, 0.3, 0.4, 0.5])
ts2 = TimeSeries('test_ts2', [0, 1, 2, 3, 4, 5], 'grams', timestamps=[0.0, 0.1, 0.2, 0.3, 0.4, 0.5])
self.nwbfile.add_acquisition(ts1)
self.nwbfile.add_acquisition(ts2)
p1 = ts1.get_ancestor(neurodata_type='NWBFile')
self.assertIs(p1, self.nwbfile)
p2 = ts2.get_ancestor(neurodata_type='NWBFile')
self.assertIs(p2, self.nwbfile)
def align_by_trials(
timeseries: TimeSeries,
start_label="start_time",
before=0.0,
after=1.0,
):
"""
Args:
timeseries: TimeSeries
start_label: str
default: 'start_time'
before: float
time after start_label in secs (positive goes back in time)
after: float
time after stop_label in secs (positive goes forward in time)
Returns:
np.array(shape=(n_trials, n_time, ...))
"""
trials = timeseries.get_ancestor("NWBFile").trials
return align_by_time_intervals(timeseries, trials, start_label, before,
after)