def test_alignment(tmpdir, extent, from_files):
datapath = tmpdir.mkdir('data')
path = tmpdir.mkdir('aligned')
bounds = [
(-10.0, 50.0, 0.0, 60.0),
(-12.0, 40.0, -2.0, 52.0),
(-13.0, 50.0, -3.0, 60.0),
(-9.0, 51.0, 1.0, 61.0)
]
datasets = [generate_test_dataset(extent=ext) for ext in bounds]
if extent is None:
common_bounds = warp.get_common_bounds(datasets)
else:
common_bounds = extent
files = [str(datapath.join('data_%d.nc' % i))
for i in range(len(datasets))]
if from_files:
for ds, f in zip(datasets, files):
to_netcdf(ds, f)
datasets = files
warp.Alignment(extent=extent).apply(datasets, path=str(path))
aligned = [open_dataset(str(f)) for f in path.listdir()]
for ds in aligned:
assert_equal(warp.get_bounds(ds), common_bounds)
assert_equal(
warp.get_transform(ds),
warp.get_transform(aligned[0])
)
xr_assert_equal(ds['x'], aligned[0]['x'])
xr_assert_equal(ds['y'], aligned[0]['y'])
def test_equal_datasets():
ds0 = open_dataset(slc_files[0])
for f in slc_files[1:]:
ds = open_dataset(f)
assert_equal(ds0['x'].values, ds['x'].values,
'x coordinates are not equal')
assert_equal(ds0['y'].values, ds['y'].values,
'y coordinates are not equal')
assert_equal(get_transform(ds0), get_transform(ds),
'transforms are not equal')
assert_equal_crs(get_crs(ds0), get_crs(ds), 'CRS are not equal')
assert_equal(get_resolution(ds0), get_resolution(ds),
'resolutions are not equal')
assert_equal(get_bounds(ds0), get_bounds(ds), 'bounds are not equal')
assert_equal(get_extent(ds0), get_extent(ds), 'extents are not equal')
ds.close()
ds0.close()
def test_get_transform(name, kwargs):
ds = generate_test_dataset(**kwargs)
bounds = get_bounds(ds)
resx = (bounds.right - bounds.left) / (ds.dims['x'] - 1)
resy = (bounds.bottom - bounds.top) / (ds.dims['y'] - 1)
xoff = bounds.left
yoff = bounds.top
transform = Affine(resx, 0, xoff, 0, resy, yoff)
assert_equal(get_transform(ds), transform)
def test_rasterize(tmpdir):
path = str(tmpdir.join('polygons.shp'))
ds = generate_test_dataset(dims=dict(x=100, y=100, time=5))
df = generate_test_geodataframe()
schema = gpd.io.file.infer_schema(df)
schema['properties']['date'] = 'date'
df.to_file(path, schema=schema)
# Rasterize
raster = vector.rasterize(path, ds)
# Check that the raster contains all fields as variables
assert set(raster.data_vars).union({'geometry'}) == set(df.columns)
# Check dtypes
assert np.issubdtype(raster.float.dtype, np.floating)
assert np.issubdtype(raster.integer.dtype, np.signedinteger)
assert np.issubdtype(raster.category.dtype, np.signedinteger)
# Check that extent, projection etc. are identical to the reference raster
assert_equal(warp.get_bounds(raster), warp.get_bounds(ds))
assert_equal_crs(warp.get_crs(raster), warp.get_crs(ds))
assert_equal(warp.get_transform(raster), warp.get_transform(ds))
# Check raster content
shape = (ds.dims['y'], ds.dims['x'])
transform = warp.get_transform(ds)
for i, row in df.iterrows():
poly = row['geometry']
mask = rasterio.features.rasterize([poly],
out_shape=shape,
transform=transform)
# Erode mask to avoid edge effects
mask = ndimage.morphology.binary_erosion(mask) == 1
for v in raster.data_vars:
if 'legend' in raster[v].attrs:
expected = sorted(raster[v].attrs['legend'],
key=lambda x: x[1] == str(row[v]))[-1][0]
else:
expected = row[v]
values = raster[v].isel(time=0).values
values[mask]
assert_allclose(values[mask], expected)
def test_reprojection_failure():
ds = generate_test_dataset()
transform = get_transform(ds)
extent = get_extent(ds)
with assert_raises_regex(
ValueError, ".* must also specify the `width` and `height`.*"):
proj = Reprojection(crs=epsg4326, transform=transform)
with assert_raises_regex(ValueError,
"Need to provide either `width` and `height` .*"):
proj = Reprojection(crs=epsg4326, extent=extent)
def create_snap_ds(*args, **kwargs):
ds = generate_test_dataset(*args, **kwargs)
crs = get_crs(ds)
t = get_transform(ds)
i2m_string = ','.join(map(str, [t.a, t.d, t.b, t.e, t.c, t.f]))
del ds.attrs['crs']
del ds.attrs['transform']
ds['crs'] = ((), 1)
attrs = {'crs': crs.wkt, 'i2m': i2m_string}
ds['crs'].attrs = attrs
return ds
def test_get_transform(name, kwargs):
ds = generate_test_dataset(**kwargs)
x = ds.coords['x'].values
y = ds.coords['y'].values
resx = (x[-1] - x[0]) / (ds.dims['x'] - 1)
resy = (y[-1] - y[0]) / (ds.dims['y'] - 1)
xoff = x[0]
yoff = y[0]
transform = Affine(resx, 0, xoff, 0, resy, yoff)
assert_equal(
warp.get_transform(ds), transform
)
def test_reproject(generator):
src_crs = epsg4326
dst_crs = sinusoidal
ds = generator(crs=src_crs)
src_bounds = get_bounds(ds)
dst_bounds_latlon = BoundingBox(
left=src_bounds.left - 1,
bottom=src_bounds.bottom - 1,
right=src_bounds.right + 1,
top=src_bounds.top + 1,
)
dst_bounds = BoundingBox(*rasterio.warp.transform_bounds(
src_crs, dst_crs, **dst_bounds_latlon._asdict()))
dst_width, dst_height = 35, 21
resx = (dst_bounds.right - dst_bounds.left) / (dst_width - 1)
resy = (dst_bounds.bottom - dst_bounds.top) / (dst_height - 1)
res = (abs(resx), abs(resy))
xoff = dst_bounds.left
yoff = dst_bounds.top
dst_transform = Affine(resx, 0, xoff, 0, resy, yoff)
projected = [
_reproject(ds,
dst_crs=dst_crs,
dst_transform=dst_transform,
width=dst_width,
height=dst_height),
_reproject(ds,
dst_crs=dst_crs,
dst_transform=dst_transform,
extent=dst_bounds),
_reproject(ds, dst_crs=dst_crs, extent=dst_bounds, res=res),
_reproject(ds,
dst_crs=dst_crs,
extent=dst_bounds,
width=dst_width,
height=dst_height)
]
for proj in projected[1:]:
xr_assert_equal(proj, projected[0])
assert_almost_equal(get_resolution(proj), res)
assert_almost_equal(get_bounds(proj), dst_bounds)
assert_almost_equal(get_transform(proj), dst_transform)
assert_equal_crs(get_crs(proj), dst_crs)
def test_reprojection_with_target(generator):
src_crs = epsg4326
dst_crs = sinusoidal
ds = generator(crs=src_crs)
src_bounds = warp.get_bounds(ds)
dst_bounds_latlon = BoundingBox(
left=src_bounds.left - 1,
bottom=src_bounds.bottom - 1,
right=src_bounds.right + 1,
top=src_bounds.top + 1,
)
dst_bounds = BoundingBox(*rasterio.warp.transform_bounds(
src_crs, dst_crs, **dst_bounds_latlon._asdict()
))
dst_width, dst_height = 35, 21
resx = (dst_bounds.right - dst_bounds.left) / (dst_width - 1)
resy = (dst_bounds.bottom - dst_bounds.top) / (dst_height - 1)
res = (abs(resx), abs(resy))
xoff = dst_bounds.left
yoff = dst_bounds.top
dst_transform = Affine(resx, 0, xoff, 0, resy, yoff)
target = generator(
dims={'x': dst_width, 'y': dst_height, 'time': 1},
extent=dst_bounds, crs=dst_crs
)
projected = [
warp.Reprojection(crs=dst_crs, transform=dst_transform,
width=dst_width, height=dst_height).apply(ds),
warp.Reprojection(crs=dst_crs, extent=dst_bounds,
res=res).apply(ds),
warp.Reprojection(crs=dst_crs, extent=dst_bounds,
width=dst_width, height=dst_height).apply(ds),
warp.Reprojection(target=target).apply(ds),
]
for i, proj in enumerate(projected[1:]):
print(i)
xr_assert_equal(proj, projected[0])
assert_almost_equal(warp.get_resolution(proj), res)
assert_almost_equal(warp.get_bounds(proj), dst_bounds)
assert_almost_equal(warp.get_transform(proj), dst_transform)
assert_equal_crs(warp.get_crs(proj), dst_crs)
def test_resolution_equal_transform_from_real_data(f):
ds = open_dataset(f)
res = get_resolution(ds)
tf = get_transform(ds)
ds.close()
assert_almost_equal(res, (tf.a, abs(tf.e)))
def test_get_transform_from_variable(crs):
ds = generate_test_dataset(crs=crs)
snap_ds = create_snap_ds(crs=crs)
assert_equal(get_transform(ds), get_transform(snap_ds))
def test_get_transform_from_metadata():
ds = generate_test_dataset()
assert_equal(
warp._get_transform_from_metadata(ds),
warp.get_transform(ds)
)
def test_accessor_nd_transform(generator):
ds = generator()
transf = warp.get_transform(ds)
assert_equal(transf, ds.nd.transform)
