def test_graph_op_node_alpha(self):
import matplotlib as mpl
edges = [(0, 1), (0, 2)]
nodes = Nodes([(0, 0, 0, 0.2), (0, 1, 1, 0.6), (1, 1, 2, 1)],
vdims='alpha')
graph = Graph((edges, nodes)).options(node_alpha='alpha')
if LooseVersion(mpl.__version__) < LooseVersion("3.4.0"):
# Python 3.6 only support up to matplotlib 3.3
with self.assertRaises(Exception):
mpl_renderer.get_plot(graph)
else:
plot = mpl_renderer.get_plot(graph)
artist = plot.handles['nodes']
self.assertEqual(artist.get_alpha(), np.array([0.2, 0.6, 1]))
def setUp(self):
if LooseVersion(param.__version__) < '1.8.0':
raise SkipTest('Params stream requires param >= 1.8.0')
class Inner(param.Parameterized):
action = param.Action(lambda o: o.param.trigger('action'))
x = param.Number(default = 0)
y = param.Number(default = 0)
count = param.Integer(default=0)
@param.depends('x')
def method(self):
self.count += 1
return Points([])
@param.depends('action')
def action_method(self):
pass
@param.depends('action', 'x')
def action_number_method(self):
self.count += 1
return Points([])
@param.depends('y')
def op_method(self, obj):
pass
def method_no_deps(self):
pass
self.inner = Inner
def test_trimesh_op_node_alpha(self):
import matplotlib as mpl
edges = [(0, 1, 2), (1, 2, 3)]
nodes = [(-1, -1, 0, 0.2), (0, 0, 1, 0.6), (0, 1, 2, 1),
(1, 0, 3, 0.3)]
trimesh = TriMesh(
(edges, Nodes(nodes, vdims='alpha'))).options(node_alpha='alpha')
if LooseVersion(mpl.__version__) < LooseVersion("3.4.0"):
# Python 3.6 only support up to matplotlib 3.3
with self.assertRaises(Exception):
mpl_renderer.get_plot(trimesh)
else:
plot = mpl_renderer.get_plot(trimesh)
artist = plot.handles['nodes']
self.assertEqual(artist.get_alpha(), np.array([0.2, 0.6, 1, 0.3]))
def setUp(self):
if LooseVersion(param.__version__) < '1.8.0':
raise SkipTest('Params stream requires param >= 1.8.0')
class Inner(param.Parameterized):
x = param.Number(default = 0)
y = param.Number(default = 0)
class InnerAction(Inner):
action = param.Action(lambda o: o.param.trigger('action'))
self.inner = Inner
self.inner_action = InnerAction