def test_concat_periods(self):
periods = pd.period_range('2000-01-01', periods=10)
coords = [Coordinate('t', periods[:5]), Coordinate('t', periods[5:])]
expected = Coordinate('t', periods)
actual = Coordinate.concat(coords, dim='t')
assert actual.identical(expected)
assert isinstance(actual.to_index(), pd.PeriodIndex)
positions = [list(range(5)), list(range(5, 10))]
actual = Coordinate.concat(coords, dim='t', positions=positions)
assert actual.identical(expected)
assert isinstance(actual.to_index(), pd.PeriodIndex)
def test_numpy_same_methods(self):
v = Variable([], np.float32(0.0))
self.assertEqual(v.item(), 0)
self.assertIs(type(v.item()), float)
v = Coordinate('x', np.arange(5))
self.assertEqual(2, v.searchsorted(2))
def test_concat_multiindex(self):
idx = pd.MultiIndex.from_product([[0, 1, 2], ['a', 'b']])
coords = [Coordinate('x', idx[:2]), Coordinate('x', idx[2:])]
expected = Coordinate('x', idx)
actual = Coordinate.concat(coords, dim='x')
assert actual.identical(expected)
assert isinstance(actual.to_index(), pd.MultiIndex)
def test_data(self):
x = Coordinate('x', np.arange(3.0))
# data should be initially saved as an ndarray
self.assertIs(type(x._data), np.ndarray)
self.assertEqual(float, x.dtype)
self.assertArrayEqual(np.arange(3), x)
self.assertEqual(float, x.values.dtype)
# after inspecting x.values, the Coordinate value will be saved as an Index
self.assertIsInstance(x._data, PandasIndexAdapter)
with self.assertRaisesRegexp(TypeError, 'cannot be modified'):
x[:] = 0
def test_name(self):
coord = Coordinate('x', [10.0])
self.assertEqual(coord.name, 'x')
with self.assertRaises(AttributeError):
coord.name = 'y'
def test_to_index(self):
data = 0.5 * np.arange(10)
v = Coordinate(['time'], data, {'foo': 'bar'})
self.assertTrue(pd.Index(data, name='time').identical(v.to_index()))
def test_to_index(self):
data = 0.5 * np.arange(10)
v = Coordinate(['time'], data, {'foo': 'bar'})
self.assertTrue(pd.Index(data, name='time').identical(v.to_index()))
def test_init(self):
with self.assertRaisesRegexp(ValueError, 'must be 1-dimensional'):
Coordinate((), 0)
def test_name(self):
coord = Coordinate('x', [10.0])
self.assertEqual(coord.name, 'x')
with self.assertRaises(AttributeError):
coord.name = 'y'
def test_multiindex_default_level_names(self):
midx = pd.MultiIndex.from_product([['a', 'b'], [1, 2]])
v = Coordinate(['x'], midx, {'foo': 'bar'})
self.assertEqual(v.to_index().names, ('x_level_0', 'x_level_1'))
def test_name(self):
coord = Coordinate("x", [10.0])
self.assertEqual(coord.name, "x")
with self.assertRaises(AttributeError):
coord.name = "y"
def test_multiindex_default_level_names(self):
midx = pd.MultiIndex.from_product([["a", "b"], [1, 2]])
v = Coordinate(["x"], midx, {"foo": "bar"})
self.assertEqual(v.to_index().names, ("x_level_0", "x_level_1"))
def test_to_index(self):
data = 0.5 * np.arange(10)
v = Coordinate(["time"], data, {"foo": "bar"})
self.assertTrue(pd.Index(data, name="time").identical(v.to_index()))
