def test_link_brains(renderer_interactive):
"""Test plotting linked brains."""
sample_src = read_source_spaces(src_fname)
vertices = [s['vertno'] for s in sample_src]
n_time = 5
n_verts = sum(len(v) for v in vertices)
stc_data = np.zeros((n_verts * n_time))
stc_size = stc_data.size
stc_data[(np.random.rand(stc_size // 20) * stc_size).astype(int)] = \
np.random.RandomState(0).rand(stc_data.size // 20)
stc_data.shape = (n_verts, n_time)
stc = SourceEstimate(stc_data, vertices, 1, 1)
colormap = 'mne_analyze'
brain = plot_source_estimates(stc,
'sample',
colormap=colormap,
background=(1, 1, 0),
subjects_dir=subjects_dir,
colorbar=True,
clim='auto')
if renderer_interactive._get_3d_backend() == 'mayavi':
with pytest.raises(NotImplementedError, match='backend is pyvistaqt'):
link_brains(brain)
else:
with pytest.raises(ValueError, match='is empty'):
link_brains([])
with pytest.raises(TypeError, match='type is Brain'):
link_brains('foo')
link_brains(brain, time=True, camera=True)
def test_link_brains(renderer):
"""Test plotting linked brains."""
if renderer.get_3d_backend() == "mayavi":
pytest.skip() # Skip PySurfer.TimeViewer
else:
# Disable testing to allow interactive window
renderer.MNE_3D_BACKEND_TESTING = False
with pytest.raises(ValueError, match='is empty'):
link_brains([])
with pytest.raises(TypeError, match='type is Brain'):
link_brains('foo')
sample_src = read_source_spaces(src_fname)
vertices = [s['vertno'] for s in sample_src]
n_time = 5
n_verts = sum(len(v) for v in vertices)
stc_data = np.zeros((n_verts * n_time))
stc_size = stc_data.size
stc_data[(np.random.rand(stc_size // 20) * stc_size).astype(int)] = \
np.random.RandomState(0).rand(stc_data.size // 20)
stc_data.shape = (n_verts, n_time)
stc = SourceEstimate(stc_data, vertices, 1, 1)
colormap = 'mne_analyze'
brain = plot_source_estimates(stc,
'sample',
colormap=colormap,
background=(1, 1, 0),
subjects_dir=subjects_dir,
colorbar=True,
clim='auto')
link_brains(brain)
