def test_idxmapping_groupby_unsorted(self):
data = [(('B', 2), 1), (('C', 2), 2), (('A', 1), 3)]
grouped = MultiDimensionalMapping(data, sort=False,
kdims=['X', 'Y']).groupby('Y')
self.assertEquals(grouped.keys(), [1, 2])
self.assertEquals(grouped.values()[0].keys(), ['A'])
self.assertEquals(grouped.last.keys(), ['B', 'C'])
def test_idxmapping_apply_key_type(self):
data = dict([(0.5, 'a'), (1.5, 'b')])
ndmap = MultiDimensionalMapping(data, key_dimensions=[self.dim1])
self.assertEqual(list(ndmap.keys()), [0, 1])
def test_idxmapping_unsorted_clone(self):
data = [('B', 1), ('C', 2), ('A', 3)]
ndmap = MultiDimensionalMapping(data, sort=False).clone()
self.assertEquals(ndmap.keys(), ['B', 'C', 'A'])
def test_idxmapping_apply_key_type(self):
data = dict([(0.5, 'a'), (1.5, 'b')])
ndmap = MultiDimensionalMapping(data, kdims=[self.dim1])
self.assertEqual(list(ndmap.keys()), [0, 1])
def test_idxmapping_groupby_unsorted(self):
data = [(('B', 2), 1), (('C', 2), 2), (('A', 1), 3)]
grouped = MultiDimensionalMapping(data, sort=False, kdims=['X', 'Y']).groupby('Y')
self.assertEquals(grouped.keys(), [1, 2])
self.assertEquals(grouped.values()[0].keys(), ['A'])
self.assertEquals(grouped.last.keys(), ['B', 'C'])
def test_idxmapping_unsorted_clone(self):
data = [('B', 1), ('C', 2), ('A', 3)]
ndmap = MultiDimensionalMapping(data, sort=False).clone()
self.assertEquals(ndmap.keys(), ['B', 'C', 'A'])