def test__get_idx_weights(self):
zdp = zonalstats.ZonalDataPoly(self.src, self.trg, srs=self.proj)
assert zdp._get_idx_weights() == (
[np.array([0]), np.array([1])],
[np.array([25000000.0]),
np.array([25000000.0])],
)
def setUp(self):
# GK3-Projection
self.proj = osr.SpatialReference()
self.proj.ImportFromEPSG(31466)
# create synthetic box
self.box0 = np.array([[2600000., 5630000.], [2600000., 5640000.],
[2610000., 5640000.], [2610000., 5630000.],
[2600000., 5630000.]])
self.box1 = np.array([[2610000., 5630000.], [2610000., 5640000.],
[2620000., 5640000.], [2620000., 5630000.],
[2610000., 5630000.]])
self.box3 = np.array([[2595000., 5625000.], [2595000., 5635000.],
[2605000., 5635000.], [2605000., 5625000.],
[2595000., 5625000.]])
self.box4 = np.array([[2615000., 5635000.], [2615000., 5645000.],
[2625000., 5645000.], [2625000., 5635000.],
[2615000., 5635000.]])
self.box5 = np.array([[2600000., 5635000.], [2605000., 5635000.],
[2605000., 5630000.], [2600000., 5630000.],
[2600000., 5635000.]])
self.box6 = np.array([[2615000., 5635000.], [2615000., 5640000.],
[2620000., 5640000.], [2620000., 5635000.],
[2615000., 5635000.]])
self.box7 = np.array([[2715000., 5635000.], [2715000., 5640000.],
[2720000., 5640000.], [2720000., 5635000.],
[2715000., 5635000.]])
self.src = np.array([self.box0, self.box1])
self.trg = np.array([self.box3, self.box4])
self.dst = np.array([[self.box5], [self.box6]])
self.zdb = zonalstats.ZonalDataBase(self.src, self.trg, srs=self.proj)
self.zdp = zonalstats.ZonalDataPoly(self.src, self.trg, srs=self.proj)
def setUp(self):
global skip
# setup test grid and catchment
lon = 7.071664
lat = 50.730521
r = np.array(range(50, 100 * 1000 + 50, 100))
a = np.array(range(0, 360, 1))
rays = a.shape[0]
bins = r.shape[0]
# setup OSR objects
self.proj_gk = osr.SpatialReference()
self.proj_gk.ImportFromEPSG(31466)
self.proj_ll = osr.SpatialReference()
self.proj_ll.ImportFromEPSG(4326)
# create polar grid polygon vertices in lat,lon
radar_ll = georef.spherical_to_polyvert(r,
a,
0, (lon, lat),
proj=self.proj_ll)[..., 0:2]
# create polar grid centroids in lat,lon
coords = georef.spherical_to_centroids(r,
a,
0, (lon, lat),
proj=self.proj_ll)
radar_llc = coords[..., 0:2]
# project ll grids to GK2
self.radar_gk = georef.reproject(radar_ll,
projection_source=self.proj_ll,
projection_target=self.proj_gk)
self.radar_gkc = georef.reproject(radar_llc,
projection_source=self.proj_ll,
projection_target=self.proj_gk)
# reshape
self.radar_gk.shape = (rays, bins, 5, 2)
self.radar_gkc.shape = (rays, bins, 2)
self.box0 = np.array([[2600000., 5630000.], [2600000., 5630100.],
[2600100., 5630100.], [2600100., 5630000.],
[2600000., 5630000.]])
self.box1 = np.array([[2600100., 5630000.], [2600100., 5630100.],
[2600200., 5630100.], [2600200., 5630000.],
[2600100., 5630000.]])
self.data = np.array([self.box0, self.box1])
# create catchment bounding box
buffer = 5000.
bbox = zonalstats.get_bbox(self.data[..., 0], self.data[..., 1])
bbox = dict(left=bbox['left'] - buffer,
right=bbox['right'] + buffer,
bottom=bbox['bottom'] - buffer,
top=bbox['top'] + buffer)
mask, shape = zonalstats.mask_from_bbox(self.radar_gkc[..., 0],
self.radar_gkc[..., 1],
bbox,
polar=True)
self.radar_gkc = self.radar_gkc[mask, :]
self.radar_gk = self.radar_gk[mask]
self.zdpoly = zonalstats.ZonalDataPoly(self.radar_gk,
self.data,
srs=self.proj_gk)
# self.zdpoly.dump_vector('test_zdpoly')
self.zdpoint = zonalstats.ZonalDataPoint(self.radar_gkc,
self.data,
srs=self.proj_gk)
# self.zdpoint.dump_vector('test_zdpoint')
isec_poly0 = np.array([
np.array([[2600000., 5630000.], [2600000., 5630100.],
[2600009.61157242, 5630100.],
[2600041.77844048, 5630000.], [2600000., 5630000.]]),
np.array([[2600009.61157242, 5630100.], [2600100., 5630100.],
[2600100., 5630000.], [2600041.77844048, 5630000.],
[2600009.61157242, 5630100.]]),
np.array([[2600091.80406488, 5630100.], [2600100., 5630100.],
[2600100., 5630074.58501104],
[2600091.80406488, 5630100.]])
])
isec_poly1 = np.array([
np.array([[2600100., 5630000.], [2600100., 5630100.],
[2600114.66582085, 5630100.],
[2600146.83254704, 5630000.], [2600100., 5630000.]]),
np.array([[2600114.66582085, 5630100.], [2600200., 5630100.],
[2600200., 5630000.], [2600146.83254704, 5630000.],
[2600114.66582085, 5630100.]]),
np.array([[2600197.20644071, 5630100.], [2600200., 5630100.],
[2600200., 5630091.33737992],
[2600197.20644071, 5630100.]])
])
isec_point0 = np.array([[2600077.2899581, 5630056.0874306]])
isec_point1 = np.array([[2600172.498418, 5630086.7127034]])
self.isec_poly = np.array([isec_poly0, isec_poly1])
self.isec_point = np.array([isec_point0, isec_point1])
def test__get_idx_weights(self):
zdp = zonalstats.ZonalDataPoly(self.src, self.trg, srs=self.proj)
self.assertEqual(zdp._get_idx_weights(),
([np.array([0]), np.array([1])
], [np.array([25000000.]),
np.array([25000000.])]))
def setUp(self):
global skip
# setup test grid and catchment
lon = 7.071664
lat = 50.730521
r = np.array(range(50, 100 * 1000 + 50, 100))
a = np.array(range(0, 360, 1))
rays = a.shape[0]
bins = r.shape[0]
# create polar grid polygon vertices in lat,lon
radar_ll = georef.polar2polyvert(r, a, (lon, lat))
# create polar grid centroids in lat,lon
rlon, rlat = georef.polar2centroids(r, a, (lon, lat))
radar_llc = np.dstack((rlon, rlat))
# setup OSR objects
self.proj_gk = osr.SpatialReference()
self.proj_gk.ImportFromEPSG(31466)
self.proj_ll = osr.SpatialReference()
self.proj_ll.ImportFromEPSG(4326)
# project ll grids to GK2
self.radar_gk = georef.reproject(radar_ll,
projection_source=self.proj_ll,
projection_target=self.proj_gk)
self.radar_gkc = georef.reproject(radar_llc,
projection_source=self.proj_ll,
projection_target=self.proj_gk)
# reshape
self.radar_gk.shape = (rays, bins, 5, 2)
self.radar_gkc.shape = (rays, bins, 2)
self.box0 = np.array([[2600000., 5630000.], [2600000., 5630100.],
[2600100., 5630100.], [2600100., 5630000.],
[2600000., 5630000.]])
self.box1 = np.array([[2600100., 5630000.], [2600100., 5630100.],
[2600200., 5630100.], [2600200., 5630000.],
[2600100., 5630000.]])
self.data = np.array([self.box0, self.box1])
# create catchment bounding box
buffer = 5000.
bbox = zonalstats.get_bbox(self.data[..., 0], self.data[..., 1])
bbox = dict(left=bbox['left'] - buffer,
right=bbox['right'] + buffer,
bottom=bbox['bottom'] - buffer,
top=bbox['top'] + buffer)
mask, shape = zonalstats.mask_from_bbox(self.radar_gkc[..., 0],
self.radar_gkc[..., 1],
bbox,
polar=True)
self.radar_gkc = self.radar_gkc[mask, :]
self.radar_gk = self.radar_gk[mask]
self.zdpoly = zonalstats.ZonalDataPoly(self.radar_gk,
self.data,
srs=self.proj_gk)
# self.zdpoly.dump_vector('test_zdpoly')
self.zdpoint = zonalstats.ZonalDataPoint(self.radar_gkc,
self.data,
srs=self.proj_gk)
# self.zdpoint.dump_vector('test_zdpoint')
isec_poly0 = np.array([
np.array([[2600000., 5630000.], [2600000., 5630057.83273596],
[2600018.65014816, 5630000.], [2600000., 5630000.]]),
np.array([[2600000., 5630057.83273596], [2600000., 5630100.],
[2600091.80406488,
5630100.], [2600100., 5630074.58501104],
[2600100., 5630000.], [2600018.65014816, 5630000.],
[2600000., 5630057.83273596]]),
np.array([[2600091.80406488, 5630100.], [2600100., 5630100.],
[2600100., 5630074.58501104],
[2600091.80406488, 5630100.]])
])
isec_poly1 = np.array([
np.array([[2600100., 5630000.], [2600100., 5630074.58501104],
[2600124.05249566, 5630000.], [2600100., 5630000.]]),
np.array([[2600100., 5630074.58501104], [2600100., 5630100.],
[2600197.20644071,
5630100.], [2600200., 5630091.33737992],
[2600200., 5630000.], [2600124.05249566, 5630000.],
[2600100., 5630074.58501104]]),
np.array([[2600197.20644071, 5630100.], [2600200., 5630100.],
[2600200., 5630091.33737992],
[2600197.20644071, 5630100.]])
])
isec_point0 = np.array([[2600062.31245173, 5630031.20266055]])
isec_point1 = np.array([[2600157.8352244, 5630061.85098382]])
self.isec_poly = np.array([isec_poly0, isec_poly1])
self.isec_point = np.array([isec_point0, isec_point1])
class TestZonalData:
global skip
# setup test grid and catchment
lon = 7.071664
lat = 50.730521
r = np.array(range(50, 100 * 1000 + 50, 100))
a = np.array(range(0, 360, 1))
rays = a.shape[0]
bins = r.shape[0]
# setup OSR objects
proj_gk = osr.SpatialReference()
proj_gk.ImportFromEPSG(31466)
proj_ll = osr.SpatialReference()
proj_ll.ImportFromEPSG(4326)
# create polar grid polygon vertices in lat,lon
radar_ll = georef.spherical_to_polyvert(r, a, 0, (lon, lat),
proj=proj_ll)[..., 0:2]
# create polar grid centroids in lat,lon
coords = georef.spherical_to_centroids(r, a, 0, (lon, lat), proj=proj_ll)
radar_llc = coords[..., 0:2]
# project ll grids to GK2
radar_gk = georef.reproject(radar_ll,
projection_source=proj_ll,
projection_target=proj_gk)
radar_gkc = georef.reproject(radar_llc,
projection_source=proj_ll,
projection_target=proj_gk)
# reshape
radar_gk.shape = (rays, bins, 5, 2)
radar_gkc.shape = (rays, bins, 2)
box0 = np.array([
[2600000.0, 5630000.0],
[2600000.0, 5630100.0],
[2600100.0, 5630100.0],
[2600100.0, 5630000.0],
[2600000.0, 5630000.0],
])
box1 = np.array([
[2600100.0, 5630000.0],
[2600100.0, 5630100.0],
[2600200.0, 5630100.0],
[2600200.0, 5630000.0],
[2600100.0, 5630000.0],
])
data = np.array([box0, box1])
# create catchment bounding box
buffer = 5000.0
bbox = zonalstats.get_bbox(data[..., 0], data[..., 1])
bbox = dict(
left=bbox["left"] - buffer,
right=bbox["right"] + buffer,
bottom=bbox["bottom"] - buffer,
top=bbox["top"] + buffer,
)
mask, shape = zonalstats.mask_from_bbox(radar_gkc[..., 0],
radar_gkc[..., 1],
bbox,
polar=True)
radar_gkc = radar_gkc[mask, :]
radar_gk = radar_gk[mask]
zdpoly = zonalstats.ZonalDataPoly(radar_gk, data, srs=proj_gk)
# zdpoly.dump_vector('test_zdpoly')
zdpoint = zonalstats.ZonalDataPoint(radar_gkc, data, srs=proj_gk)
# zdpoint.dump_vector('test_zdpoint')
isec_poly0 = np.array(
[
np.array([
[2600000.0, 5630000.0],
[2600000.0, 5630100.0],
[2600009.61157242, 5630100.0],
[2600041.77844048, 5630000.0],
[2600000.0, 5630000.0],
]),
np.array([
[2600009.61157242, 5630100.0],
[2600100.0, 5630100.0],
[2600100.0, 5630000.0],
[2600041.77844048, 5630000.0],
[2600009.61157242, 5630100.0],
]),
np.array([
[2600091.80406488, 5630100.0],
[2600100.0, 5630100.0],
[2600100.0, 5630074.58501104],
[2600091.80406488, 5630100.0],
]),
],
dtype=object,
)
isec_poly1 = np.array(
[
np.array([
[2600100.0, 5630000.0],
[2600100.0, 5630100.0],
[2600114.66582085, 5630100.0],
[2600146.83254704, 5630000.0],
[2600100.0, 5630000.0],
]),
np.array([
[2600114.66582085, 5630100.0],
[2600200.0, 5630100.0],
[2600200.0, 5630000.0],
[2600146.83254704, 5630000.0],
[2600114.66582085, 5630100.0],
]),
np.array([
[2600197.20644071, 5630100.0],
[2600200.0, 5630100.0],
[2600200.0, 5630091.33737992],
[2600197.20644071, 5630100.0],
]),
],
dtype=object,
)
isec_point0 = np.array([[2600077.2899581, 5630056.0874306]])
isec_point1 = np.array([[2600172.498418, 5630086.7127034]])
isec_poly = np.array([isec_poly0, isec_poly1])
isec_point = np.array([isec_point0, isec_point1])
def test_srs(self):
assert self.zdpoly.srs == self.proj_gk
assert self.zdpoint.srs == self.proj_gk
def test_isecs(self):
# need to iterate over nested array for correct testing
for i, ival in enumerate(self.zdpoly.isecs):
for k, kval in enumerate(ival):
np.testing.assert_allclose(kval.astype(float),
self.isec_poly[i, k],
rtol=1e-6)
np.testing.assert_allclose(self.zdpoint.isecs.astype(float),
self.isec_point,
rtol=1e-6)
def test_get_isec(self):
for i in [0, 1]:
for k, arr in enumerate(self.zdpoly.get_isec(i)):
np.testing.assert_allclose(arr.astype(float),
self.isec_poly[i, k],
rtol=1e-6)
np.testing.assert_allclose(self.zdpoint.get_isec(i).astype(float),
self.isec_point[i],
rtol=1e-6)
def test_get_source_index(self):
np.testing.assert_array_equal(self.zdpoly.get_source_index(0),
np.array([2254, 2255]))
np.testing.assert_array_equal(self.zdpoly.get_source_index(1),
np.array([2255, 2256]))
np.testing.assert_array_equal(self.zdpoint.get_source_index(0),
np.array([2255]))
np.testing.assert_array_equal(self.zdpoint.get_source_index(1),
np.array([2256]))
class TestZonalStatsBase:
# GK3-Projection
proj = osr.SpatialReference()
proj.ImportFromEPSG(31466)
# create synthetic box
box0 = np.array([
[2600000.0, 5630000.0],
[2600000.0, 5640000.0],
[2610000.0, 5640000.0],
[2610000.0, 5630000.0],
[2600000.0, 5630000.0],
])
box1 = np.array([
[2610000.0, 5630000.0],
[2610000.0, 5640000.0],
[2620000.0, 5640000.0],
[2620000.0, 5630000.0],
[2610000.0, 5630000.0],
])
box3 = np.array([
[2595000.0, 5625000.0],
[2595000.0, 5635000.0],
[2605000.0, 5635000.0],
[2605000.0, 5625000.0],
[2595000.0, 5625000.0],
])
box4 = np.array([
[2615000.0, 5635000.0],
[2615000.0, 5645000.0],
[2625000.0, 5645000.0],
[2625000.0, 5635000.0],
[2615000.0, 5635000.0],
])
box5 = np.array([
[2600000.0, 5635000.0],
[2605000.0, 5635000.0],
[2605000.0, 5630000.0],
[2600000.0, 5630000.0],
[2600000.0, 5635000.0],
])
box6 = np.array([
[2615000.0, 5635000.0],
[2615000.0, 5640000.0],
[2620000.0, 5640000.0],
[2620000.0, 5635000.0],
[2615000.0, 5635000.0],
])
box7 = np.array([
[2715000.0, 5635000.0],
[2715000.0, 5640000.0],
[2720000.0, 5640000.0],
[2720000.0, 5635000.0],
[2715000.0, 5635000.0],
])
src = np.array([box0, box1])
trg = np.array([box3, box4])
dst = np.array([[box5], [box6]])
zdb = zonalstats.ZonalDataBase(src, trg, srs=proj)
zdp = zonalstats.ZonalDataPoly(src, trg, srs=proj)
def test__init__(self):
with pytest.raises(NotImplementedError):
zonalstats.ZonalStatsBase(self.zdb)
zonalstats.ZonalStatsBase(self.zdp)
with pytest.raises(TypeError):
zonalstats.ZonalStatsBase("test")
with pytest.raises(TypeError):
zonalstats.ZonalStatsBase()
with pytest.raises(TypeError):
zonalstats.ZonalStatsBase(ix=np.arange(10), w=np.arange(11))
def test_w(self):
zdp = zonalstats.ZonalStatsBase(self.zdp)
np.testing.assert_equal(zdp.w, np.array([[25000000.0], [25000000.0]]))
np.testing.assert_equal(zdp.ix, np.array([[0], [1]]))
def test__check_vals(self):
zdp = zonalstats.ZonalStatsBase(self.zdp)
with pytest.raises(AssertionError):
zdp._check_vals(np.arange(3))
def test_mean(self):
zdp = zonalstats.ZonalStatsBase(self.zdp)
np.testing.assert_equal(zdp.mean(np.arange(10, 21, 10)),
np.array([10, 20]))
def test_var(self):
zdp = zonalstats.ZonalStatsBase(self.zdp)
np.testing.assert_equal(zdp.var(np.arange(10, 21, 10)),
np.array([0, 0]))
