def test_rasterio_nodata(tmpdir):
from datacube.testutils.io import dc_read, write_gtiff
from pathlib import Path
roi = np.s_[10:20, 20:30]
xx = np.zeros((64, 64), dtype='uint8')
xx[roi] = 255
pp = Path(str(tmpdir))
mm = write_gtiff(pp/'absent_nodata.tiff', xx, nodata=None)
yy = dc_read(mm.path, gbox=mm.gbox, fallback_nodata=None)
np.testing.assert_array_equal(xx, yy)
# fallback nodata is outside source range so it shouldn't be used
yy = dc_read(mm.path, gbox=mm.gbox, fallback_nodata=-1, dst_nodata=-999, dtype='int16')
np.testing.assert_array_equal(xx.astype('int16'), yy)
# treat zeros as no-data + type conversion while reading
yy_expect = xx.copy().astype('int16')
yy_expect[xx == 0] = -999
assert set(yy_expect.ravel()) == {-999, 255}
yy = dc_read(mm.path, fallback_nodata=0, dst_nodata=-999, dtype='int16')
np.testing.assert_array_equal(yy_expect, yy)
# now check that file nodata is used instead of fallback
mm = write_gtiff(pp/'with_nodata.tiff', xx, nodata=33)
yy = dc_read(mm.path, fallback_nodata=0, dst_nodata=-999, dtype='int16')
np.testing.assert_array_equal(xx, yy)
yy = dc_read(mm.path)
np.testing.assert_array_equal(xx, yy)
def _load_medians(self, gbox):
indices_list = [
's6m', 's6m_std', 'mndwi', 'mndwi_std', 'msavi', 'msavi_std',
'whi', 'whi_std'
]
medians = {
ind: dc_read('{}/{}'.format(self.median_path,
self.indstr.format(ind)),
gbox=gbox,
resampling="bilinear")
for ind in indices_list
}
return xr.Dataset(data_vars={
ind: (('y', 'x'), medians[ind])
for ind in indices_list
},
coords=_to_xrds_coords(gbox),
attrs={'crs': gbox.crs})
def _load_dsm(self, gbox):
# Data variable needs to be named elevation
dsm = dc_read(self.dsm_path, gbox=gbox, resampling="bilinear")
return xr.Dataset(data_vars={'elevation': (('y', 'x'), dsm)}, coords=_to_xrds_coords(gbox),
attrs={'crs': gbox.crs})
