def test_unique_value_dimension_values_not_expanded(self):
path = Path([{'x': [1, 2, 3, 4, 5], 'y': [0, 0, 1, 1, 2], 'value': np.full(5, 0)},
{'x': [5, 4, 3, 2, 1], 'y': [2, 2, 1, 1, 0], 'value': np.full(5, 1)}],
vdims='value', datatype=[self.datatype])
self.assertIs(path.interface, self.interface)
self.assertEqual(path.dimension_values('value', expanded=False),
np.array([0, 1]))
def test_array_values_coordinates_nonexpanded(self):
arrays = [np.column_stack([np.arange(i, i+2), np.arange(i, i+2)]) for i in range(2)]
mds = Path(arrays, kdims=['x', 'y'], datatype=[self.datatype])
self.assertIs(mds.interface, self.interface)
values = mds.dimension_values(0, expanded=False)
self.assertEqual(values[0], np.array([0., 1]))
self.assertEqual(values[1], np.array([1, 2]))
def test_multi_array_values_coordinates_nonexpanded(self):
arrays = [
np.column_stack([np.arange(i, i + 2),
np.arange(i, i + 2)]) for i in range(2)
]
mds = Path(arrays, kdims=['x', 'y'], datatype=['multitabular'])
self.assertEqual(mds.dimension_values(0, expanded=False),
np.array([0., 1, 1, 2]))
def test_multi_array_values(self):
arrays = [
np.column_stack([np.arange(i, i + 2),
np.arange(i, i + 2)]) for i in range(2)
]
mds = Path(arrays, kdims=['x', 'y'], datatype=['multitabular'])
self.assertEqual(mds.dimension_values(0),
np.array([0., 1, np.NaN, 1, 2]))
def test_varying_value_dimension_values_not_expanded(self):
path = Path([{'x': [1, 2, 3, 4, 5], 'y': [0, 0, 1, 1, 2], 'value': np.arange(5)},
{'x': [5, 4, 3, 2, 1], 'y': [2, 2, 1, 1, 0], 'value': np.full(5, 1)}],
vdims='value', datatype=[self.datatype])
self.assertIs(path.interface, self.interface)
values = path.dimension_values('value', expanded=False)
self.assertEqual(values[0], np.array([0, 1, 2, 3, 4]))
self.assertEqual(values[1], 1)
self.assertIsInstance(values[1], np.int_)
def test_array_values(self):
arrays = [
np.column_stack([np.arange(i, i + 2),
np.arange(i, i + 2)]) for i in range(2)
]
mds = Path(arrays, kdims=['x', 'y'], datatype=[self.datatype])
self.assertIs(mds.interface, self.interface)
self.assertEqual(mds.dimension_values(0),
np.array([0., 1, np.NaN, 1, 2]))
def test_array_values_coordinates_nonexpanded_constant_kdim(self):
arrays = [
np.column_stack(
[np.arange(i, i + 2),
np.arange(i, i + 2),
np.ones(2) * i]) for i in range(2)
]
mds = Path(arrays,
kdims=['x', 'y'],
vdims=['z'],
datatype=[self.datatype])
self.assertIs(mds.interface, self.interface)
self.assertEqual(mds.dimension_values(2, expanded=False),
np.array([0, 1]))
def test_varying_value_dimension_values_expanded(self):
path = Path([{
'x': [1, 2, 3, 4, 5],
'y': [0, 0, 1, 1, 2],
'value': np.arange(5)
}, {
'x': [5, 4, 3, 2, 1],
'y': [2, 2, 1, 1, 0],
'value': np.full(5, 1)
}],
vdims='value',
datatype=[self.datatype])
self.assertIs(path.interface, self.interface)
self.assertEqual(path.dimension_values('value'),
np.array([0, 1, 2, 3, 4, np.nan, 1, 1, 1, 1, 1]))
def test_multi_values_empty(self):
mds = Path([], kdims=['x', 'y'], datatype=['multitabular'])
self.assertEqual(mds.dimension_values(0), np.array([]))
def test_values_empty(self):
mds = Path([], kdims=['x', 'y'], datatype=[self.datatype])
self.assertIs(mds.interface, self.interface)
self.assertEqual(mds.dimension_values(0), np.array([]))
def test_multi_values_empty(self):
mds = Path([], kdims=['x', 'y'], datatype=['multitabular'])
self.assertEqual(mds.dimension_values(0), np.array([]))
def test_multi_array_values_coordinates_nonexpanded_constant_kdim(self):
arrays = [np.column_stack([np.arange(i, i+2), np.arange(i, i+2), np.ones(2)*i]) for i in range(2)]
mds = Path(arrays, kdims=['x', 'y'], vdims=['z'], datatype=['multitabular'])
self.assertEqual(mds.dimension_values(2, expanded=False), np.array([0, 1]))
def test_multi_array_values(self):
arrays = [np.column_stack([np.arange(i, i+2), np.arange(i, i+2)]) for i in range(2)]
mds = Path(arrays, kdims=['x', 'y'], datatype=['multitabular'])
self.assertEqual(mds.dimension_values(0), np.array([0., 1, np.NaN, 1, 2]))
