def test_init_delayed_bands(self):
timeseries = TimeSeries(name='dummy timeseries',
description='desc',
data=np.ones((3, 3)),
unit='Volts',
timestamps=np.ones((3, )))
spec_anal = DecompositionSeries(name='LFPSpectralAnalysis',
description='my description',
data=np.ones((3, 3, 3)),
timestamps=np.ones((3, )),
source_timeseries=timeseries,
metric='amplitude')
for band_name in ['alpha', 'beta', 'gamma']:
spec_anal.add_band(band_name=band_name,
band_limits=(1., 1.),
band_mean=1.,
band_stdev=1.)
self.assertEqual(spec_anal.name, 'LFPSpectralAnalysis')
self.assertEqual(spec_anal.description, 'my description')
np.testing.assert_equal(spec_anal.data, np.ones((3, 3, 3)))
np.testing.assert_equal(spec_anal.timestamps, np.ones((3, )))
self.assertEqual(spec_anal.bands['band_name'].data,
['alpha', 'beta', 'gamma'])
np.testing.assert_equal(spec_anal.bands['band_limits'].data,
np.ones((3, 2)))
self.assertEqual(spec_anal.source_timeseries, timeseries)
self.assertEqual(spec_anal.metric, 'amplitude')
def test_init(self):
timeseries = TimeSeries(name='dummy timeseries',
description='desc',
data=np.ones((3, 3)),
unit='Volts',
timestamps=np.ones((3, )))
bands = DynamicTable(name='bands',
description='band info for LFPSpectralAnalysis',
columns=[
VectorData(name='band_name',
description='name of bands',
data=['alpha', 'beta', 'gamma']),
VectorData(
name='band_limits',
description='low and high cutoffs in Hz',
data=np.ones((3, 2)))
])
spec_anal = DecompositionSeries(name='LFPSpectralAnalysis',
description='my description',
data=np.ones((3, 3, 3)),
timestamps=np.ones((3, )),
source_timeseries=timeseries,
metric='amplitude',
bands=bands)
self.assertEqual(spec_anal.name, 'LFPSpectralAnalysis')
self.assertEqual(spec_anal.description, 'my description')
np.testing.assert_equal(spec_anal.data, np.ones((3, 3, 3)))
np.testing.assert_equal(spec_anal.timestamps, np.ones((3, )))
self.assertEqual(spec_anal.bands['band_name'].data,
['alpha', 'beta', 'gamma'])
np.testing.assert_equal(spec_anal.bands['band_limits'].data,
np.ones((3, 2)))
self.assertEqual(spec_anal.source_timeseries, timeseries)
self.assertEqual(spec_anal.metric, 'amplitude')