def test_make_grid_layout():
""" Test creation of grid layout """
tmp_name = 'bar'
lout_name = 'test_ica'
lout_orig = read_layout(kind=lout_name, path=lout_path)
layout = make_grid_layout(test_info)
layout.save(op.join(tempdir, tmp_name + '.lout'))
lout_new = read_layout(kind=tmp_name, path=tempdir)
assert_array_equal(lout_new.kind, tmp_name)
assert_array_equal(lout_orig.pos, lout_new.pos)
assert_array_equal(lout_orig.names, lout_new.names)
def test_make_grid_layout():
""" Test creation of grid layout """
tmp_name = 'bar'
lout_name = 'test_ica'
lout_orig = read_layout(kind=lout_name, path=lout_path)
layout = make_grid_layout(test_info)
layout.save(op.join(tempdir, tmp_name + '.lout'))
lout_new = read_layout(kind=tmp_name, path=tempdir)
assert_array_equal(lout_new.kind, tmp_name)
assert_array_equal(lout_orig.pos, lout_new.pos)
assert_array_equal(lout_orig.names, lout_new.names)
# Test creating grid layout with specified number of columns
layout = make_grid_layout(test_info, n_col=2)
# Vertical positions should be equal
assert_true(layout.pos[0, 1] == layout.pos[1, 1])
# Horizontal positions should be unequal
assert_true(layout.pos[0, 0] != layout.pos[1, 0])
# Box sizes should be equal
assert_array_equal(layout.pos[0, 3:], layout.pos[1, 3:])
def test_make_grid_layout():
""" Test creation of grid layout """
tmp_name = 'bar'
lout_name = 'test_ica'
lout_orig = read_layout(kind=lout_name, path=lout_path)
layout = make_grid_layout(test_info)
layout.save(op.join(tempdir, tmp_name + '.lout'))
lout_new = read_layout(kind=tmp_name, path=tempdir)
assert_array_equal(lout_new.kind, tmp_name)
assert_array_equal(lout_orig.pos, lout_new.pos)
assert_array_equal(lout_orig.names, lout_new.names)
def test_make_grid_layout():
""" Test creation of grid layout """
tempdir = _TempDir()
tmp_name = 'bar'
lout_name = 'test_ica'
lout_orig = read_layout(kind=lout_name, path=lout_path)
layout = make_grid_layout(test_info)
layout.save(op.join(tempdir, tmp_name + '.lout'))
lout_new = read_layout(kind=tmp_name, path=tempdir)
assert_array_equal(lout_new.kind, tmp_name)
assert_array_equal(lout_orig.pos, lout_new.pos)
assert_array_equal(lout_orig.names, lout_new.names)
# Test creating grid layout with specified number of columns
layout = make_grid_layout(test_info, n_col=2)
# Vertical positions should be equal
assert_true(layout.pos[0, 1] == layout.pos[1, 1])
# Horizontal positions should be unequal
assert_true(layout.pos[0, 0] != layout.pos[1, 0])
# Box sizes should be equal
assert_array_equal(layout.pos[0, 3:], layout.pos[1, 3:])
plt.figure()
plt.plot(times, data_clean[affected_idx], color='k')
plt.title('Affected channel MEG 1531 after cleaning.')
plt.ylim(y0, y1)
plt.show()
###############################################################################
# Export ICA as raw for subsequent processing steps in ICA space.
from mne.layouts import make_grid_layout
ica_raw = ica.sources_as_raw(raw, start=100., stop=160., picks=None)
print ica_raw.ch_names[:5] # just a few
ica_lout = make_grid_layout(ica_raw.info)
# Uncomment the following two lines to save sources and layout.
# ica_raw.save('ica_raw.fif')
# ica_lout.save(os.path.join(os.environ['HOME'], '.mne/lout/ica.lout'))
###############################################################################
# To save an ICA session you can say:
# ica.save('my_ica.fif')
#
# You can later restore the session by saying:
# >>> from mne.preprocessing import read_ica
# >>> read_ica('my_ica.fif')
#
# The ICA functionality exposed in this example will then be available at
# at any later point in time provided the data have the same structure as the
plt.figure()
plt.plot(times, data_clean[affected_idx], color='k')
plt.title('Affected channel MEG 1531 after cleaning.')
plt.ylim(y0, y1)
plt.show()
###############################################################################
# Export ICA as raw for subsequent processing steps in ICA space.
from mne.layouts import make_grid_layout
ica_raw = ica.sources_as_raw(raw, start=100., stop=160., picks=None)
print ica_raw.ch_names[:5] # just a few
ica_lout = make_grid_layout(ica_raw.info)
# Uncomment the following two lines to save sources and layout.
# ica_raw.save('ica_raw.fif')
# ica_lout.save(os.path.join(os.environ['HOME'], '.mne/lout/ica.lout'))
###############################################################################
# To save an ICA session you can say:
# ica.save('my_ica.fif')
#
# You can later restore the session by saying:
# >>> from mne.preprocessing import read_ica
# >>> read_ica('my_ica.fif')
#
# The ICA functionality exposed in this example will then be available at
# at any later point in time provided the data have the same structure as the
