def test_plot_mne_epochs():
"Test plotting epochs from the mne sample dataset"
epochs = datasets.get_mne_epochs()
# grand average
p = plot.Array(epochs)
p.close()
# with model
p = plot.Array(epochs, np.arange(2).repeat(8))
p.close()
def test_dataobjects():
"Test handing MNE-objects as data-objects"
shift = np.array([0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.1, -0.1])
epochs = datasets.get_mne_epochs()
ds = Dataset(('a', Factor('ab', repeat=8)),
('epochs', epochs))
ds['ets'] = shift_mne_epoch_trigger(epochs, shift, min(shift), max(shift))
# ds operations
sds = ds.sub("a == 'a'")
ads = ds.aggregate('a')
# asndvar
ndvar = asndvar(ds['epochs'])
ndvar = asndvar(ds['ets'])
# connectivity
ds = datasets.get_mne_sample(sub=[0], sns=True)
sensor = ds['meg'].sensor
c = sensor.connectivity()
assert_array_equal(c[:, 0] < c[:, 1], True)
eq_(c.max(), len(sensor) - 1)
def test_dataobjects():
"Test handing MNE-objects as data-objects"
shift = np.array([0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
0.0, 0.0, 0.0, 0.1, -0.1])
epochs = datasets.get_mne_epochs()
ds = Dataset(('a', Factor('ab', repeat=8)),
('epochs', epochs))
ds['ets'] = shift_mne_epoch_trigger(epochs, shift, min(shift), max(shift))
# ds operations
sds = ds.sub("a == 'a'")
ads = ds.aggregate('a')
# asndvar
ndvar = asndvar(ds['epochs'])
ndvar = asndvar(ds['ets'])
# connectivity
ds = datasets.get_mne_sample(sub=[0], sns=True)
sensor = ds['meg'].sensor
c = sensor.connectivity()
assert_array_equal(c[:, 0] < c[:, 1], True)
eq_(c.max(), len(sensor) - 1)
