def test_get_attributes(self):
ds = zonalstats.DataSource(self.data)
ds.set_attribute("test", self.values2)
assert ds.get_attributes(["test"],
filt=("index", 0)) == self.values2[0]
assert ds.get_attributes(["test"],
filt=("index", 1)) == self.values2[1]
def test_get_data_by_geom(self):
ds = zonalstats.DataSource(self.data)
lyr = ds.ds.GetLayer()
lyr.ResetReading()
lyr.SetSpatialFilter(None)
lyr.SetAttributeFilter(None)
for i, feature in enumerate(lyr):
geom = feature.GetGeometryRef()
assert np.allclose(ds.get_data_by_geom(geom), self.data[i])
def test_dump_raster(self):
proj = osr.SpatialReference()
proj.ImportFromEPSG(31466)
filename = util.get_wradlib_data_file('shapefiles/agger/'
'agger_merge.shp')
test = zonalstats.DataSource(filename, proj)
test.dump_raster(tempfile.NamedTemporaryFile(mode='w+b').name,
driver='netCDF',
pixel_size=100.)
def test___init__(self):
zdb = zonalstats.ZonalDataBase(self.src, self.trg, srs=self.proj)
assert isinstance(zdb.src, zonalstats.DataSource)
assert isinstance(zdb.trg, zonalstats.DataSource)
assert isinstance(zdb.dst, zonalstats.DataSource)
assert zdb._count_intersections == 2
zd = zonalstats.DataSource(self.src, name="src", srs=self.proj)
zdb = zonalstats.ZonalDataBase(zd, self.trg, srs=self.proj)
assert isinstance(zdb.src, zonalstats.DataSource)
assert isinstance(zdb.trg, zonalstats.DataSource)
assert isinstance(zdb.dst, zonalstats.DataSource)
assert zdb._count_intersections == 2
zd1 = zonalstats.DataSource(self.src, name="src", srs=self.proj)
zd2 = zonalstats.DataSource(self.trg, name="trg", srs=self.proj)
zdb = zonalstats.ZonalDataBase(zd1, zd2, srs=self.proj)
assert isinstance(zdb.src, zonalstats.DataSource)
assert isinstance(zdb.trg, zonalstats.DataSource)
assert isinstance(zdb.dst, zonalstats.DataSource)
assert zdb._count_intersections == 2
def test_get_geom_properties(self):
proj = osr.SpatialReference()
proj.ImportFromEPSG(31466)
filename = util.get_wradlib_data_file('shapefiles/agger/'
'agger_merge.shp')
test = zonalstats.DataSource(filename, proj)
np.testing.assert_array_equal([[76722499.98474795]],
test.get_geom_properties(['Area'],
filt=('FID',
1)))
def test___init__(self):
zdb = zonalstats.ZonalDataBase(self.src, self.trg, srs=self.proj)
self.assertIsInstance(zdb.src, zonalstats.DataSource)
self.assertIsInstance(zdb.trg, zonalstats.DataSource)
self.assertIsInstance(zdb.dst, zonalstats.DataSource)
self.assertEqual(zdb._count_intersections, 2)
zd = zonalstats.DataSource(self.src, name='src', srs=self.proj)
zdb = zonalstats.ZonalDataBase(zd, self.trg, srs=self.proj)
self.assertIsInstance(zdb.src, zonalstats.DataSource)
self.assertIsInstance(zdb.trg, zonalstats.DataSource)
self.assertIsInstance(zdb.dst, zonalstats.DataSource)
self.assertEqual(zdb._count_intersections, 2)
zd1 = zonalstats.DataSource(self.src, name='src', srs=self.proj)
zd2 = zonalstats.DataSource(self.trg, name='trg', srs=self.proj)
zdb = zonalstats.ZonalDataBase(zd1, zd2, srs=self.proj)
self.assertIsInstance(zdb.src, zonalstats.DataSource)
self.assertIsInstance(zdb.trg, zonalstats.DataSource)
self.assertIsInstance(zdb.dst, zonalstats.DataSource)
self.assertEqual(zdb._count_intersections, 2)
def setUp(self):
# create synthetic box
self.box0 = np.array([[2600000., 5630000.], [2600000., 5640000.],
[2610000., 5640000.], [2610000., 5630000.],
[2600000., 5630000.]])
self.box1 = np.array([[2700000., 5630000.], [2700000., 5640000.],
[2710000., 5640000.], [2710000., 5630000.],
[2700000., 5630000.]])
self.data = np.array([self.box0, self.box1])
self.ds = zonalstats.DataSource(self.data)
self.values1 = np.array([47.11, 47.11])
self.values2 = np.array([47.11, 15.08])
def test_dump_raster(self):
proj = osr.SpatialReference()
proj.ImportFromEPSG(31466)
filename = util.get_wradlib_data_file("shapefiles/agger/"
"agger_merge.shp")
test = zonalstats.DataSource(filename, srs=proj)
test.dump_raster(
tempfile.NamedTemporaryFile(mode="w+b").name,
driver="netCDF",
pixel_size=100.0,
)
test.dump_raster(
tempfile.NamedTemporaryFile(mode="w+b").name,
driver="netCDF",
pixel_size=100.0,
attr="FID",
)
def test_get_data_by_att(self):
ds = zonalstats.DataSource(self.data)
assert np.allclose(ds.get_data_by_att("index", 0), self.box0)
assert np.allclose(ds.get_data_by_att("index", 1), self.box1)
def test_set_attribute(self):
ds = zonalstats.DataSource(self.data)
ds.set_attribute("test", self.values1)
assert np.allclose(ds.get_attributes(["test"]), self.values1)
ds.set_attribute("test", self.values2)
assert np.allclose(ds.get_attributes(["test"]), self.values2)
def test_get_data_by_att(self):
ds = zonalstats.DataSource(self.data)
np.testing.assert_almost_equal(ds.get_data_by_att("index", 0),
self.data[0:1])
np.testing.assert_almost_equal(ds.get_data_by_att("index", 1),
self.data[1:2])
def test_get_data_by_idx(self):
ds = zonalstats.DataSource(self.data)
np.testing.assert_almost_equal(ds.get_data_by_idx([0]), self.data[0:1])
np.testing.assert_almost_equal(ds.get_data_by_idx([1]), self.data[1:2])
np.testing.assert_almost_equal(ds.get_data_by_idx([0, 1]), self.data)
def test__get_data(self):
ds = zonalstats.DataSource(self.data)
np.testing.assert_almost_equal(ds._get_data(), self.data)
def test__check_src(self):
filename = util.get_wradlib_data_file("shapefiles/agger/"
"agger_merge.shp")
assert len(zonalstats.DataSource(filename).data) == 13
with pytest.raises(RuntimeError):
zonalstats.DataSource("test_zonalstats.py")
def test_get_data_by_idx(self):
ds = zonalstats.DataSource(self.data)
assert np.allclose(ds.get_data_by_idx([0]), self.box0)
assert np.allclose(ds.get_data_by_idx([1]), self.box1)
assert np.allclose(ds.get_data_by_idx([0, 1]), self.data)
def test__check_src(self):
filename = util.get_wradlib_data_file('shapefiles/agger/'
'agger_merge.shp')
self.assertEqual(len(zonalstats.DataSource(filename).data), 13)
self.assertRaises(RuntimeError,
lambda: zonalstats.DataSource('test_zonalstats.py'))
def test_dump_vector(self):
ds = zonalstats.DataSource(self.data)
ds.dump_vector(tempfile.NamedTemporaryFile(mode="w+b").name)
def test_dump_raster(self):
proj = osr.SpatialReference()
proj.ImportFromEPSG(31466)
test = zonalstats.DataSource(os.path.dirname(__file__) + '/../../examples/data/agger/agger_merge.shp', proj)
self.assertRaises(AttributeError, test.dump_raster(tempfile.NamedTemporaryFile(mode='w+b').name, 'netCDF', pixel_size=100.))
def test__check_src(self):
self.assertEqual(len(zonalstats.DataSource(os.path.dirname(__file__) + '/../../examples/data/agger/agger_merge.shp').data), 13)
self.assertRaises(IOError, lambda: zonalstats.DataSource('test_zonalstats.py'))
class TestDataSource:
# 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([
[2700000.0, 5630000.0],
[2700000.0, 5640000.0],
[2710000.0, 5640000.0],
[2710000.0, 5630000.0],
[2700000.0, 5630000.0],
])
data = np.array([box0, box1], dtype=object)
ds = zonalstats.DataSource(data)
values1 = np.array([47.11, 47.11])
values2 = np.array([47.11, 15.08])
@requires_data
def test__check_src(self):
filename = util.get_wradlib_data_file("shapefiles/agger/"
"agger_merge.shp")
assert len(zonalstats.DataSource(filename).data) == 13
with pytest.raises(RuntimeError):
zonalstats.DataSource("test_zonalstats.py")
def test_data(self):
np.testing.assert_almost_equal(self.ds.data, self.data)
def test__get_data(self):
ds = zonalstats.DataSource(self.data)
np.testing.assert_almost_equal(ds._get_data(), self.data)
def test_get_data_by_idx(self):
ds = zonalstats.DataSource(self.data)
np.testing.assert_almost_equal(ds.get_data_by_idx([0]), self.data[0:1])
np.testing.assert_almost_equal(ds.get_data_by_idx([1]), self.data[1:2])
np.testing.assert_almost_equal(ds.get_data_by_idx([0, 1]), self.data)
def test_get_data_by_att(self):
ds = zonalstats.DataSource(self.data)
np.testing.assert_almost_equal(ds.get_data_by_att("index", 0),
self.data[0:1])
np.testing.assert_almost_equal(ds.get_data_by_att("index", 1),
self.data[1:2])
def test_get_data_by_geom(self):
ds = zonalstats.DataSource(self.data)
lyr = ds.ds.GetLayer()
lyr.ResetReading()
lyr.SetSpatialFilter(None)
lyr.SetAttributeFilter(None)
for i, feature in enumerate(lyr):
geom = feature.GetGeometryRef()
np.testing.assert_almost_equal(ds.get_data_by_geom(geom),
self.data[i:i + 1])
def test_set_attribute(self):
ds = zonalstats.DataSource(self.data)
ds.set_attribute("test", self.values1)
assert np.allclose(ds.get_attributes(["test"]), self.values1)
ds.set_attribute("test", self.values2)
assert np.allclose(ds.get_attributes(["test"]), self.values2)
def test_get_attributes(self):
ds = zonalstats.DataSource(self.data)
ds.set_attribute("test", self.values2)
assert ds.get_attributes(["test"],
filt=("index", 0)) == self.values2[0]
assert ds.get_attributes(["test"],
filt=("index", 1)) == self.values2[1]
@requires_data
def test_get_geom_properties(self):
proj = osr.SpatialReference()
proj.ImportFromEPSG(31466)
filename = util.get_wradlib_data_file("shapefiles/agger/"
"agger_merge.shp")
test = zonalstats.DataSource(filename, proj)
np.testing.assert_array_equal([[76722499.98474795]],
test.get_geom_properties(["Area"],
filt=("FID",
1)))
def test_dump_vector(self):
ds = zonalstats.DataSource(self.data)
ds.dump_vector(tempfile.NamedTemporaryFile(mode="w+b").name)
@requires_data
def test_dump_raster(self):
proj = osr.SpatialReference()
proj.ImportFromEPSG(31466)
filename = util.get_wradlib_data_file("shapefiles/agger/"
"agger_merge.shp")
test = zonalstats.DataSource(filename, srs=proj)
test.dump_raster(
tempfile.NamedTemporaryFile(mode="w+b").name,
driver="netCDF",
pixel_size=100.0,
)
test.dump_raster(
tempfile.NamedTemporaryFile(mode="w+b").name,
driver="netCDF",
pixel_size=100.0,
attr="FID",
)
def test__get_data(self):
ds = zonalstats.DataSource(self.data)
assert np.allclose(ds._get_data(), self.data)
