def test_one_point_branch_without_diameter_3d():
test_tree = PointTree(np.array([1., 1., 1., 0.5, 2, 1, 0]))
try:
view.tree3d(test_tree, diameter=False)
nt.ok_(True)
except:
nt.ok_(False)
def test_tree3d():
axes = []
for tree in pt_neuron.neurites:
fig, ax = view.tree3d(tree)
axes.append(ax)
nt.ok_(axes[0].get_data_ratio() > 1.00 )
nt.ok_(axes[1].get_data_ratio() > 0.80 )
nt.ok_(axes[2].get_data_ratio() > 1.00 )
nt.ok_(axes[3].get_data_ratio() > 0.85 )
def test_tree3d():
axes = []
for tree in fst_neuron.neurites:
fig, ax = view.tree3d(tree)
axes.append(ax)
nt.ok_(axes[0].get_data_ratio() > 1.00)
nt.ok_(axes[1].get_data_ratio() > 0.80)
nt.ok_(axes[2].get_data_ratio() > 1.00)
nt.ok_(axes[3].get_data_ratio() > 0.85)
def test_one_point_branch():
test_section = Section(points=np.array([[1., 1., 1., 0.5, 2, 1, 0]]))
for diameter, linewidth in it.product((True, False),
(0.0, 1.2)):
view.tree(test_section, diameter=diameter, linewidth=linewidth)
view.tree3d(test_section, diameter=diameter, linewidth=linewidth)
