def setUp(self):
self.path1 = Path([(-0.3, 0.4), (-0.3, 0.3), (-0.2, 0.3), (-0.2, 0.4),
(-0.3, 0.4)])
self.path2 = Path([(-0.3, 0.4), (-0.3, 0.3), (-0.2, 0.3), (-0.2, 0.4),
(-3, 4)])
self.contours1 = Contours([(-0.3, 0.4, 1), (-0.3, 0.3, 1),
(-0.2, 0.3, 1), (-0.2, 0.4, 1),
(-0.3, 0.4, 1)],
vdims='Level')
self.contours2 = Contours([(-0.3, 0.4, 1), (-0.3, 0.3, 1),
(-0.2, 0.3, 1), (-0.2, 0.4, 1), (-3, 4, 1)],
vdims='Level')
self.contours3 = Contours([(-0.3, 0.4, 2), (-0.3, 0.3, 2),
(-0.2, 0.3, 2), (-0.2, 0.4, 2),
(-0.3, 0.4, 2)],
vdims='Level')
self.bounds1 = Bounds(0.3)
self.bounds2 = Bounds(0.4)
self.box1 = Box(-0.25, 0.3, 0.3)
self.box2 = Box(-0.25, 0.3, 0.4)
self.ellipse1 = Ellipse(-0.25, 0.3, 0.3)
self.ellipse2 = Ellipse(-0.25, 0.3, 0.4)
def test_single_path_list_constructor(self):
path = Path([(0, 1), (1, 2), (2, 3), (3, 4)])
self.assertFalse(path.interface.multi)
self.assertEqual(path.dimension_values(0), np.array([
0, 1, 2, 3]))
self.assertEqual(path.dimension_values(1), np.array([
1, 2, 3, 4]))
def test_aggregate_dframe_nan_path(self):
path = Path([Path([[(0.2, 0.3), (0.4, 0.7)], [(0.4, 0.7), (0.8, 0.99)]]).dframe()])
expected = Image(([0.25, 0.75], [0.25, 0.75], [[1, 0], [2, 1]]),
vdims=['Count'])
img = aggregate(path, dynamic=False, x_range=(0, 1), y_range=(0, 1),
width=2, height=2)
self.assertEqual(img, expected)
def test_multi_path_tuple(self):
path = Path(([0, 1], [[1, 3], [2, 4]]))
self.assertTrue(path.interface.multi)
self.assertEqual(path.dimension_values(0), np.array([
0, 1, np.nan, 0, 1]))
self.assertEqual(path.dimension_values(1), np.array([
1, 2, np.nan, 3, 4]))
def test_multi_path_list_constructor(self):
path = Path([[(0, 1), (1, 2)], [(2, 3), (3, 4)]])
self.assertTrue(path.interface.multi)
self.assertEqual(path.dimension_values(0), np.array([
0, 1, np.nan, 2, 3]))
self.assertEqual(path.dimension_values(1), np.array([
1, 2, np.nan, 3, 4]))
def test_dataset_groupby_path(self):
ds = Dataset([(0, 0, 1), (0, 1, 2), (1, 2, 3), (1, 3, 4)],
['group', 'x', 'y'])
subpaths = ds.groupby('group', group_type=Path)
self.assertEqual(len(subpaths), 2)
self.assertEqual(subpaths[0], Path([(0, 1), (1, 2)]))
self.assertEqual(subpaths[1], Path([(2, 3), (3, 4)]))
def test_single_path_tuple_constructor(self):
path = Path(([0, 1, 2, 3], [1, 2, 3, 4]))
self.assertFalse(path.interface.multi)
self.assertEqual(path.dimension_values(0), np.array([
0, 1, 2, 3]))
self.assertEqual(path.dimension_values(1), np.array([
1, 2, 3, 4]))
def setUp(self):
self.path1 = Path([(-0.3, 0.4), (-0.3, 0.3), (-0.2, 0.3), (-0.2, 0.4),
(-0.3, 0.4)])
self.path2 = Path([(-0.3, 0.4), (-0.3, 0.3), (-0.2, 0.3), (-0.2, 0.4),
(-3, 4)])
self.contours1 = Contours([(-0.3, 0.4), (-0.3, 0.3), (-0.2, 0.3),
(-0.2, 0.4), (-0.3, 0.4)],
level=1)
self.contours2 = Contours([(-0.3, 0.4), (-0.3, 0.3), (-0.2, 0.3),
(-0.2, 0.4), (-3, 4)],
level=1)
self.contours3 = Contours([(-0.3, 0.4), (-0.3, 0.3), (-0.2, 0.3),
(-0.2, 0.4), (-0.3, 0.4)],
level=2)
self.bounds1 = Bounds(0.3)
self.bounds2 = Bounds(0.4)
self.box1 = Box(-0.25, 0.3, 0.3)
self.box2 = Box(-0.25, 0.3, 0.4)
self.ellipse1 = Ellipse(-0.25, 0.3, 0.3)
self.ellipse2 = Ellipse(-0.25, 0.3, 0.4)
def test_multi_path_cast_path(self):
path = Path([[(0, 1), (1, 2)], [(2, 3), (3, 4)]])
path2 = Path(path)
self.assertTrue(path2.interface.multi)
self.assertEqual(path2.dimension_values(0),
np.array([0, 1, np.nan, 2, 3]))
self.assertEqual(path2.dimension_values(1),
np.array([1, 2, np.nan, 3, 4]))
def test_rasterize_path(self):
path = Path([[(0.2, 0.3), (0.4, 0.7)], [(0.4, 0.7), (0.8, 0.99)]])
expected = Image(([0.25, 0.75], [0.25, 0.75], [[1, 0], [2, 1]]),
vdims=['Count'])
img = rasterize(path, dynamic=False, x_range=(0, 1), y_range=(0, 1),
width=2, height=2)
self.assertEqual(img, expected)
def test_line_rasterize(self):
path = Path([[(0, 0), (1, 1), (2, 0)], [(0, 0), (0, 1)]],
datatype=['spatialpandas'])
agg = rasterize(path, width=4, height=4, dynamic=False)
xs = [0.25, 0.75, 1.25, 1.75]
ys = [0.125, 0.375, 0.625, 0.875]
arr = np.array([[2, 0, 0, 1], [1, 1, 0, 1], [1, 1, 1, 0], [1, 0, 1,
0]])
expected = Image((xs, ys, arr), vdims='Count')
self.assertEqual(agg, expected)
def setUp(self):
self.xs = np.linspace(0, 2 * np.pi, 11)
self.hxs = np.arange(len(self.xs))
self.sin = np.sin(self.xs)
self.cos = np.cos(self.xs)
sine_data = np.column_stack((self.xs, self.sin))
cos_data = np.column_stack((self.xs, self.cos))
self.curve = Curve(sine_data)
self.path = Path([sine_data, cos_data])
self.histogram = Histogram((self.hxs, self.sin))
super(ElementConstructorTest, self).setUp()
def test_multi_path_unpack_single_paths(self):
path = Path([Path([(0, 1), (1, 2)]), Path([(2, 3), (3, 4)])])
self.assertTrue(path.interface.multi)
self.assertEqual(path.dimension_values(0), np.array([
0, 1, np.nan, 2, 3]))
self.assertEqual(path.dimension_values(1), np.array([
1, 2, np.nan, 3, 4]))
def test_ring_rasterize(self):
path = Path([{'x': [0, 1, 2], 'y': [0, 1, 0], 'geom_type': 'Ring'}], datatype=['spatialpandas'])
agg = rasterize(path, width=4, height=4, dynamic=False)
xs = [0.25, 0.75, 1.25, 1.75]
ys = [0.125, 0.375, 0.625, 0.875]
arr = np.array([
[1, 1, 1, 1],
[0, 1, 0, 1],
[0, 1, 1, 0],
[0, 0, 1, 0]
])
expected = Image((xs, ys, arr), vdims='Count')
self.assertEqual(agg, expected)
def test_multi_path_unpack_multi_paths(self):
path = Path([Path([[(0, 1), (1, 2)]]),
Path([[(2, 3), (3, 4)], [(4, 5), (5, 6)]])])
self.assertTrue(path.interface.multi)
self.assertEqual(path.dimension_values(0), np.array([
0, 1, np.nan, 2, 3, np.nan, 4, 5]))
self.assertEqual(path.dimension_values(1), np.array([
1, 2, np.nan, 3, 4, np.nan, 5, 6]))
def test_multi_path_list_split(self):
path = Path([[(0, 1), (1, 2)], [(2, 3), (3, 4)]])
subpaths = path.split()
self.assertEqual(len(subpaths), 2)
self.assertEqual(subpaths[0], Path([(0, 1), (1, 2)]))
self.assertEqual(subpaths[1], Path([(2, 3), (3, 4)]))
def test_path_ziplist_construct(self):
self.assertEqual(
Path([list(zip(self.xs, self.sin)),
list(zip(self.xs, self.cos))]), self.path)
def test_path_tuplelist_construct(self):
self.assertEqual(Path([(self.xs, self.sin), (self.xs, self.cos)]),
self.path)
def test_path_tuple_construct(self):
self.assertEqual(
Path((self.xs, np.column_stack((self.sin, self.cos)))), self.path)
def test_path_string_signature(self):
path = Path([], ['a', 'b'])
self.assertEqual(path.kdims, [Dimension('a'), Dimension('b')])
def test_single_path_split(self):
path = Path(([0, 1, 2, 3], [1, 2, 3, 4]))
self.assertEqual(path, path.split()[0])
