def test_band_data(self):
pam_file = self.rs_path + '.aux.xml'
self.assertEqual(self.band.width, 163)
self.assertEqual(self.band.height, 174)
self.assertEqual(self.band.description, '')
self.assertEqual(self.band.datatype(), 1)
self.assertEqual(self.band.datatype(as_string=True), 'GDT_Byte')
self.assertEqual(self.band.color_interp(), 1)
self.assertEqual(self.band.color_interp(as_string=True),
'GCI_GrayIndex')
self.assertEqual(self.band.nodata_value, 15)
if numpy:
data = self.band.data()
assert_array = numpy.loadtxt(
os.path.join(os.path.dirname(__file__),
'../data/rasters/raster.numpy.txt'))
numpy.testing.assert_equal(data, assert_array)
self.assertEqual(data.shape, (self.band.height, self.band.width))
try:
smin, smax, smean, sstd = self.band.statistics(approximate=True)
self.assertEqual(smin, 0)
self.assertEqual(smax, 9)
self.assertAlmostEqual(smean, 2.842331288343558)
self.assertAlmostEqual(sstd, 2.3965567248965356)
smin, smax, smean, sstd = self.band.statistics(approximate=False,
refresh=True)
self.assertEqual(smin, 0)
self.assertEqual(smax, 9)
self.assertAlmostEqual(smean, 2.828326634228898)
self.assertAlmostEqual(sstd, 2.4260526986669095)
self.assertEqual(self.band.min, 0)
self.assertEqual(self.band.max, 9)
self.assertAlmostEqual(self.band.mean, 2.828326634228898)
self.assertAlmostEqual(self.band.std, 2.4260526986669095)
# Statistics are persisted into PAM file on band close
self.band = None
self.assertTrue(os.path.isfile(pam_file))
finally:
# Close band and remove file if created
self.band = None
if os.path.isfile(pam_file):
os.remove(pam_file)
def test_band_data(self):
rs = GDALRaster(self.rs_path)
band = rs.bands[0]
self.assertEqual(band.width, 163)
self.assertEqual(band.height, 174)
self.assertEqual(band.description, '')
self.assertEqual(band.datatype(), 1)
self.assertEqual(band.datatype(as_string=True), 'GDT_Byte')
self.assertEqual(band.color_interp(), 1)
self.assertEqual(band.color_interp(as_string=True), 'GCI_GrayIndex')
self.assertEqual(band.nodata_value, 15)
if numpy:
data = band.data()
assert_array = numpy.loadtxt(
os.path.join(os.path.dirname(__file__),
'../data/rasters/raster.numpy.txt'))
numpy.testing.assert_equal(data, assert_array)
self.assertEqual(data.shape, (band.height, band.width))
def test_band_data(self):
rs = GDALRaster(self.rs_path)
band = rs.bands[0]
self.assertEqual(band.width, 163)
self.assertEqual(band.height, 174)
self.assertEqual(band.description, '')
self.assertEqual(band.datatype(), 1)
self.assertEqual(band.datatype(as_string=True), 'GDT_Byte')
self.assertEqual(band.color_interp(), 1)
self.assertEqual(band.color_interp(as_string=True), 'GCI_GrayIndex')
self.assertEqual(band.nodata_value, 15)
if numpy:
data = band.data()
assert_array = numpy.loadtxt(
os.path.join(os.path.dirname(__file__), '../data/rasters/raster.numpy.txt')
)
numpy.testing.assert_equal(data, assert_array)
self.assertEqual(data.shape, (band.height, band.width))
def test_band_data(self):
pam_file = self.rs_path + '.aux.xml'
self.assertEqual(self.band.width, 163)
self.assertEqual(self.band.height, 174)
self.assertEqual(self.band.description, '')
self.assertEqual(self.band.datatype(), 1)
self.assertEqual(self.band.datatype(as_string=True), 'GDT_Byte')
self.assertEqual(self.band.color_interp(), 1)
self.assertEqual(self.band.color_interp(as_string=True), 'GCI_GrayIndex')
self.assertEqual(self.band.nodata_value, 15)
if numpy:
data = self.band.data()
assert_array = numpy.loadtxt(
os.path.join(os.path.dirname(__file__), '../data/rasters/raster.numpy.txt')
)
numpy.testing.assert_equal(data, assert_array)
self.assertEqual(data.shape, (self.band.height, self.band.width))
try:
smin, smax, smean, sstd = self.band.statistics(approximate=True)
self.assertEqual(smin, 0)
self.assertEqual(smax, 9)
self.assertAlmostEqual(smean, 2.842331288343558)
self.assertAlmostEqual(sstd, 2.3965567248965356)
smin, smax, smean, sstd = self.band.statistics(approximate=False, refresh=True)
self.assertEqual(smin, 0)
self.assertEqual(smax, 9)
self.assertAlmostEqual(smean, 2.828326634228898)
self.assertAlmostEqual(sstd, 2.4260526986669095)
self.assertEqual(self.band.min, 0)
self.assertEqual(self.band.max, 9)
self.assertAlmostEqual(self.band.mean, 2.828326634228898)
self.assertAlmostEqual(self.band.std, 2.4260526986669095)
# Statistics are persisted into PAM file on band close
self.band = None
self.assertTrue(os.path.isfile(pam_file))
finally:
# Close band and remove file if created
self.band = None
if os.path.isfile(pam_file):
os.remove(pam_file)
