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def test_nearest(self):
self._test(core.cartesian.Nearest3D(), "mss_cartesian_nearest3d")
def test_grid3d_init(self):
"""Test construction and accessors of the object"""
grid = self.load_data()
self.assertIsInstance(grid.x, core.Axis)
self.assertIsInstance(grid.y, core.Axis)
self.assertIsInstance(grid.z, core.Axis)
self.assertIsInstance(grid.array, np.ndarray)
def test_grid3d_interpolator(self):
"""Testing of different interpolation methods"""
a = self._test(core.Nearest3D(), "tcw_trivariate_nearest")
b = self._test(core.Bilinear3D(), "tcw_trivariate_bilinear")
c = self._test(core.InverseDistanceWeighting3D(), "tcw_trivariate_idw")
self.assertTrue((a - b).std() != 0)
self.assertTrue((a - c).std() != 0)
self.assertTrue((b - c).std() != 0)
def init(self, dtype):
ds = xr.load_dataset(self.GRID)
x_axis = pyinterp.Axis(np.arange(-180, 180, 5), is_circle=True)
y_axis = pyinterp.Axis(np.arange(-90, 95, 5))
binning = pyinterp.Binning2D(x_axis,
y_axis,
pyinterp.geodetic.System(),
dtype=dtype)
self.assertEqual(x_axis, binning.x)
self.assertEqual(y_axis, binning.y)
self.assertIsInstance(str(binning), str)
lon, lat = np.meshgrid(ds.lon, ds.lat)
binning.push(lon, lat, ds.mss, simple=True)
simple_mean = binning.variable('mean')
self.assertIsInstance(simple_mean, np.ndarray)
binning.clear()
binning.push(lon, lat, ds.mss, simple=False)
linear_mean = binning.variable('mean')
def test(self):
grid = pyinterp.backends.xarray.Grid3D(xr.load_dataset(self.GRID).tcw,
increasing_axes=True)
self.assertIsInstance(grid, pyinterp.backends.xarray.Grid3D)
self.assertIsInstance(grid, pyinterp.Grid3D)
other = pickle.loads(pickle.dumps(grid))
self.assertIsInstance(other, pyinterp.backends.xarray.Grid3D)
self.assertIsInstance(grid, pyinterp.Grid3D)
self.assertIsInstance(grid.x, pyinterp.Axis)
self.assertIsInstance(grid.y, pyinterp.Axis)
self.assertIsInstance(grid.z, pyinterp.Axis)
self.assertIsInstance(grid.array, np.ndarray)
lon = np.arange(-180, 180, 1) + 1 / 3.0
lat = np.arange(-90, 90, 1) + 1 / 3.0
time = np.array([datetime.datetime(2002, 7, 2, 15, 0)],
grid.time_unit())
x, y, t = np.meshgrid(lon, lat, time, indexing="ij")
z = grid.trivariate(
collections.OrderedDict(longitude=x.flatten(),
latitude=y.flatten(),
time=t.flatten()))
self.assertIsInstance(z, np.ndarray)
z = grid.bicubic(
collections.OrderedDict(longitude=x.flatten()[1:2],
def init(self, dtype):
ds = xr.load_dataset(self.GRID)
x_axis = pyinterp.Axis(np.arange(-180, 180, 5), is_circle=True)
y_axis = pyinterp.Axis(np.arange(-90, 95, 5))
binning = pyinterp.Binning2D(x_axis,
y_axis,
pyinterp.geodetic.System(),
dtype=dtype)
self.assertEqual(x_axis, binning.x)
self.assertEqual(y_axis, binning.y)
self.assertIsInstance(str(binning), str)
lon, lat = np.meshgrid(ds.lon, ds.lat)
binning.push(lon, lat, ds.mss, simple=True)
simple_mean = binning.variable('mean')
self.assertIsInstance(simple_mean, np.ndarray)
binning.clear()
binning.push(lon, lat, ds.mss, simple=False)
def _test(self, interpolator, filename):
"""Testing an interpolation method."""
grid = self.load_data()
lon = np.arange(-180, 180, 1 / 3.0) + 1 / 3.0
lat = np.arange(-90, 90, 1 / 3.0) + 1 / 3.0
time = 898500 + 3
x, y, t = np.meshgrid(lon, lat, time, indexing="ij")
z0 = core.trivariate_float64(grid,
x.flatten(),
y.flatten(),
t.flatten(),
interpolator,
num_threads=0)
z1 = core.trivariate_float64(grid,
x.flatten(),
y.flatten(),
t.flatten(),
interpolator,
num_threads=1)
shape = (len(lon), len(lat))
z0 = np.ma.fix_invalid(z0)
z1 = np.ma.fix_invalid(z1)
self.assertTrue(np.all(z1 == z0))
if HAVE_PLT:
plot(x.reshape(shape), y.reshape(shape), z0.reshape(shape),
filename)
return z0
def _test(self, interpolator, filename):
"""Testing an interpolation method."""
grid = self.load_data()
lon = np.arange(-180, 180, 1 / 3.0) + 1 / 3.0
lat = np.arange(-90, 90, 1 / 3.0) + 1 / 3.0
time = 898500 + 3
x, y, t = np.meshgrid(lon, lat, time, indexing="ij")
z0 = core.trivariate_float64(grid,
x.flatten(),
y.flatten(),
t.flatten(),
interpolator,
num_threads=0)
z1 = core.trivariate_float64(grid,
x.flatten(),
y.flatten(),
t.flatten(),
interpolator,
num_threads=1)
shape = (len(lon), len(lat))
z0 = np.ma.fix_invalid(z0)
z1 = np.ma.fix_invalid(z1)
self.assertTrue(np.all(z1 == z0))
if HAVE_PLT:
def test_box2d_init(self):
"""Test construction and accessors of the object"""
min_corner = core.geodetic.Point2D(0, 1)
max_corner = core.geodetic.Point2D(2, 3)
box = core.geodetic.Box2D(min_corner, max_corner)
self.assertEqual(str(box), "((0, 1), (2, 3))")
self.assertEqual(box.min_corner.lon, 0)
self.assertEqual(box.min_corner.lat, 1)
self.assertEqual(box.max_corner.lon, 2)
self.assertEqual(box.max_corner.lat, 3)
self.assertTrue(box.covered_by(min_corner))
self.assertTrue(box.covered_by(max_corner))
self.assertTrue(box.covered_by(core.geodetic.Point2D(1, 2)))
self.assertFalse(box.covered_by(core.geodetic.Point2D(0, 0)))
flags = box.covered_by([1, 0], [2, 0])
self.assertTrue(np.all(flags == [1, 0]))
box.min_corner, box.max_corner = max_corner, min_corner
self.assertEqual(box.min_corner.lon, 2)
self.assertEqual(box.min_corner.lat, 3)
self.assertEqual(box.max_corner.lon, 0)
self.assertEqual(box.max_corner.lat, 1)
def test_box2d_init(self):
"""Test construction and accessors of the object"""
min_corner = core.geodetic.Point2D(0, 1)
max_corner = core.geodetic.Point2D(2, 3)
box = core.geodetic.Box2D(min_corner, max_corner)
self.assertEqual(str(box), "((0, 1), (2, 3))")
self.assertEqual(box.min_corner.lon, 0)
self.assertEqual(box.min_corner.lat, 1)
self.assertEqual(box.max_corner.lon, 2)
self.assertEqual(box.max_corner.lat, 3)
self.assertTrue(box.covered_by(min_corner))
self.assertTrue(box.covered_by(max_corner))
self.assertTrue(box.covered_by(core.geodetic.Point2D(1, 2)))
self.assertFalse(box.covered_by(core.geodetic.Point2D(0, 0)))
flags = box.covered_by([1, 0], [2, 0])
self.assertTrue(np.all(flags == [1, 0]))
box.min_corner, box.max_corner = max_corner, min_corner
self.assertEqual(box.min_corner.lon, 2)
self.assertEqual(box.min_corner.lat, 3)
self.assertEqual(box.max_corner.lon, 0)
self.assertEqual(box.max_corner.lat, 1)