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741 lines
27 KiB
Python
741 lines
27 KiB
Python
import os
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import shutil
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import struct
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import tempfile
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from django.contrib.gis.gdal import GDAL_VERSION, GDALRaster
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from django.contrib.gis.gdal.error import GDALException
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from django.contrib.gis.gdal.raster.band import GDALBand
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from django.contrib.gis.shortcuts import numpy
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from django.test import SimpleTestCase
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from ..data.rasters.textrasters import JSON_RASTER
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class GDALRasterTests(SimpleTestCase):
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"""
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Test a GDALRaster instance created from a file (GeoTiff).
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"""
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def setUp(self):
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self.rs_path = os.path.join(os.path.dirname(__file__), '../data/rasters/raster.tif')
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self.rs = GDALRaster(self.rs_path)
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def test_rs_name_repr(self):
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self.assertEqual(self.rs_path, self.rs.name)
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self.assertRegex(repr(self.rs), r"<Raster object at 0x\w+>")
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def test_rs_driver(self):
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self.assertEqual(self.rs.driver.name, 'GTiff')
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def test_rs_size(self):
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self.assertEqual(self.rs.width, 163)
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self.assertEqual(self.rs.height, 174)
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def test_rs_srs(self):
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self.assertEqual(self.rs.srs.srid, 3086)
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self.assertEqual(self.rs.srs.units, (1.0, 'metre'))
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def test_rs_srid(self):
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rast = GDALRaster({
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'width': 16,
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'height': 16,
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'srid': 4326,
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})
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self.assertEqual(rast.srid, 4326)
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rast.srid = 3086
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self.assertEqual(rast.srid, 3086)
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def test_geotransform_and_friends(self):
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# Assert correct values for file based raster
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self.assertEqual(
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self.rs.geotransform,
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[511700.4680706557, 100.0, 0.0, 435103.3771231986, 0.0, -100.0]
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)
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self.assertEqual(self.rs.origin, [511700.4680706557, 435103.3771231986])
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self.assertEqual(self.rs.origin.x, 511700.4680706557)
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self.assertEqual(self.rs.origin.y, 435103.3771231986)
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self.assertEqual(self.rs.scale, [100.0, -100.0])
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self.assertEqual(self.rs.scale.x, 100.0)
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self.assertEqual(self.rs.scale.y, -100.0)
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self.assertEqual(self.rs.skew, [0, 0])
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self.assertEqual(self.rs.skew.x, 0)
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self.assertEqual(self.rs.skew.y, 0)
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# Create in-memory rasters and change gtvalues
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rsmem = GDALRaster(JSON_RASTER)
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# geotransform accepts both floats and ints
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rsmem.geotransform = [0.0, 1.0, 2.0, 3.0, 4.0, 5.0]
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self.assertEqual(rsmem.geotransform, [0.0, 1.0, 2.0, 3.0, 4.0, 5.0])
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rsmem.geotransform = range(6)
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self.assertEqual(rsmem.geotransform, [float(x) for x in range(6)])
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self.assertEqual(rsmem.origin, [0, 3])
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self.assertEqual(rsmem.origin.x, 0)
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self.assertEqual(rsmem.origin.y, 3)
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self.assertEqual(rsmem.scale, [1, 5])
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self.assertEqual(rsmem.scale.x, 1)
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self.assertEqual(rsmem.scale.y, 5)
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self.assertEqual(rsmem.skew, [2, 4])
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self.assertEqual(rsmem.skew.x, 2)
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self.assertEqual(rsmem.skew.y, 4)
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self.assertEqual(rsmem.width, 5)
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self.assertEqual(rsmem.height, 5)
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def test_geotransform_bad_inputs(self):
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rsmem = GDALRaster(JSON_RASTER)
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error_geotransforms = [
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[1, 2],
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[1, 2, 3, 4, 5, 'foo'],
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[1, 2, 3, 4, 5, 6, 'foo'],
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]
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msg = 'Geotransform must consist of 6 numeric values.'
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for geotransform in error_geotransforms:
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with self.subTest(i=geotransform), self.assertRaisesMessage(ValueError, msg):
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rsmem.geotransform = geotransform
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def test_rs_extent(self):
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self.assertEqual(
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self.rs.extent,
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(511700.4680706557, 417703.3771231986, 528000.4680706557, 435103.3771231986)
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)
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def test_rs_bands(self):
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self.assertEqual(len(self.rs.bands), 1)
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self.assertIsInstance(self.rs.bands[0], GDALBand)
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def test_memory_based_raster_creation(self):
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# Create uint8 raster with full pixel data range (0-255)
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rast = GDALRaster({
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'datatype': 1,
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'width': 16,
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'height': 16,
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'srid': 4326,
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'bands': [{
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'data': range(256),
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'nodata_value': 255,
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}],
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})
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# Get array from raster
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result = rast.bands[0].data()
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if numpy:
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result = result.flatten().tolist()
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# Assert data is same as original input
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self.assertEqual(result, list(range(256)))
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def test_file_based_raster_creation(self):
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# Prepare tempfile
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rstfile = tempfile.NamedTemporaryFile(suffix='.tif')
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# Create file-based raster from scratch
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GDALRaster({
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'datatype': self.rs.bands[0].datatype(),
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'driver': 'tif',
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'name': rstfile.name,
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'width': 163,
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'height': 174,
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'nr_of_bands': 1,
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'srid': self.rs.srs.wkt,
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'origin': (self.rs.origin.x, self.rs.origin.y),
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'scale': (self.rs.scale.x, self.rs.scale.y),
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'skew': (self.rs.skew.x, self.rs.skew.y),
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'bands': [{
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'data': self.rs.bands[0].data(),
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'nodata_value': self.rs.bands[0].nodata_value,
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}],
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})
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# Reload newly created raster from file
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restored_raster = GDALRaster(rstfile.name)
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# Presence of TOWGS84 depend on GDAL/Proj versions.
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self.assertEqual(
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restored_raster.srs.wkt.replace('TOWGS84[0,0,0,0,0,0,0],', ''),
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self.rs.srs.wkt.replace('TOWGS84[0,0,0,0,0,0,0],', '')
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)
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self.assertEqual(restored_raster.geotransform, self.rs.geotransform)
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if numpy:
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numpy.testing.assert_equal(
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restored_raster.bands[0].data(),
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self.rs.bands[0].data()
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)
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else:
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self.assertEqual(restored_raster.bands[0].data(), self.rs.bands[0].data())
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def test_nonexistent_file(self):
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msg = 'Unable to read raster source input "nonexistent.tif".'
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with self.assertRaisesMessage(GDALException, msg):
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GDALRaster('nonexistent.tif')
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def test_vsi_raster_creation(self):
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# Open a raster as a file object.
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with open(self.rs_path, 'rb') as dat:
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# Instantiate a raster from the file binary buffer.
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vsimem = GDALRaster(dat.read())
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# The data of the in-memory file is equal to the source file.
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result = vsimem.bands[0].data()
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target = self.rs.bands[0].data()
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if numpy:
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result = result.flatten().tolist()
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target = target.flatten().tolist()
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self.assertEqual(result, target)
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def test_vsi_raster_deletion(self):
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path = '/vsimem/raster.tif'
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# Create a vsi-based raster from scratch.
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vsimem = GDALRaster({
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'name': path,
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'driver': 'tif',
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'width': 4,
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'height': 4,
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'srid': 4326,
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'bands': [{
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'data': range(16),
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}],
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})
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# The virtual file exists.
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rst = GDALRaster(path)
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self.assertEqual(rst.width, 4)
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# Delete GDALRaster.
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del vsimem
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del rst
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# The virtual file has been removed.
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msg = 'Could not open the datasource at "/vsimem/raster.tif"'
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with self.assertRaisesMessage(GDALException, msg):
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GDALRaster(path)
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def test_vsi_invalid_buffer_error(self):
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msg = 'Failed creating VSI raster from the input buffer.'
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with self.assertRaisesMessage(GDALException, msg):
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GDALRaster(b'not-a-raster-buffer')
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def test_vsi_buffer_property(self):
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# Create a vsi-based raster from scratch.
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rast = GDALRaster({
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'name': '/vsimem/raster.tif',
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'driver': 'tif',
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'width': 4,
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'height': 4,
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'srid': 4326,
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'bands': [{
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'data': range(16),
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}],
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})
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# Do a round trip from raster to buffer to raster.
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result = GDALRaster(rast.vsi_buffer).bands[0].data()
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if numpy:
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result = result.flatten().tolist()
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# Band data is equal to nodata value except on input block of ones.
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self.assertEqual(result, list(range(16)))
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# The vsi buffer is None for rasters that are not vsi based.
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self.assertIsNone(self.rs.vsi_buffer)
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def test_offset_size_and_shape_on_raster_creation(self):
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rast = GDALRaster({
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'datatype': 1,
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'width': 4,
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'height': 4,
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'srid': 4326,
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'bands': [{
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'data': (1,),
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'offset': (1, 1),
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'size': (2, 2),
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'shape': (1, 1),
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'nodata_value': 2,
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}],
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})
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# Get array from raster.
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result = rast.bands[0].data()
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if numpy:
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result = result.flatten().tolist()
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# Band data is equal to nodata value except on input block of ones.
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self.assertEqual(
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result,
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[2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 2]
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)
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def test_set_nodata_value_on_raster_creation(self):
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# Create raster filled with nodata values.
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rast = GDALRaster({
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'datatype': 1,
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'width': 2,
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'height': 2,
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'srid': 4326,
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'bands': [{'nodata_value': 23}],
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})
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# Get array from raster.
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result = rast.bands[0].data()
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if numpy:
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result = result.flatten().tolist()
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# All band data is equal to nodata value.
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self.assertEqual(result, [23] * 4)
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def test_set_nodata_none_on_raster_creation(self):
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if GDAL_VERSION < (2, 1):
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self.skipTest("GDAL >= 2.1 is required for this test.")
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# Create raster without data and without nodata value.
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rast = GDALRaster({
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'datatype': 1,
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'width': 2,
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'height': 2,
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'srid': 4326,
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'bands': [{'nodata_value': None}],
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})
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# Get array from raster.
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result = rast.bands[0].data()
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if numpy:
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result = result.flatten().tolist()
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# Band data is equal to zero because no nodata value has been specified.
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self.assertEqual(result, [0] * 4)
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def test_raster_metadata_property(self):
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data = self.rs.metadata
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self.assertEqual(data['DEFAULT'], {'AREA_OR_POINT': 'Area'})
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self.assertEqual(data['IMAGE_STRUCTURE'], {'INTERLEAVE': 'BAND'})
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# Create file-based raster from scratch
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source = GDALRaster({
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'datatype': 1,
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'width': 2,
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'height': 2,
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'srid': 4326,
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'bands': [{'data': range(4), 'nodata_value': 99}],
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})
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# Set metadata on raster and on a band.
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metadata = {
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'DEFAULT': {'OWNER': 'Django', 'VERSION': '1.0', 'AREA_OR_POINT': 'Point'},
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}
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source.metadata = metadata
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source.bands[0].metadata = metadata
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self.assertEqual(source.metadata['DEFAULT'], metadata['DEFAULT'])
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self.assertEqual(source.bands[0].metadata['DEFAULT'], metadata['DEFAULT'])
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# Update metadata on raster.
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metadata = {
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'DEFAULT': {'VERSION': '2.0'},
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}
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source.metadata = metadata
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self.assertEqual(source.metadata['DEFAULT']['VERSION'], '2.0')
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# Remove metadata on raster.
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metadata = {
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'DEFAULT': {'OWNER': None},
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}
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source.metadata = metadata
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self.assertNotIn('OWNER', source.metadata['DEFAULT'])
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def test_raster_info_accessor(self):
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if GDAL_VERSION < (2, 1):
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msg = 'GDAL ≥ 2.1 is required for using the info property.'
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with self.assertRaisesMessage(ValueError, msg):
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self.rs.info
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return
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infos = self.rs.info
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# Data
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info_lines = [line.strip() for line in infos.split('\n') if line.strip() != '']
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for line in [
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'Driver: GTiff/GeoTIFF',
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'Files: {}'.format(self.rs_path),
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'Size is 163, 174',
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'Origin = (511700.468070655711927,435103.377123198588379)',
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'Pixel Size = (100.000000000000000,-100.000000000000000)',
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'Metadata:',
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'AREA_OR_POINT=Area',
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'Image Structure Metadata:',
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'INTERLEAVE=BAND',
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'Band 1 Block=163x50 Type=Byte, ColorInterp=Gray',
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'NoData Value=15'
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]:
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self.assertIn(line, info_lines)
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for line in [
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r'Upper Left \( 511700.468, 435103.377\) \( 82d51\'46.1\d"W, 27d55\' 1.5\d"N\)',
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r'Lower Left \( 511700.468, 417703.377\) \( 82d51\'52.0\d"W, 27d45\'37.5\d"N\)',
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r'Upper Right \( 528000.468, 435103.377\) \( 82d41\'48.8\d"W, 27d54\'56.3\d"N\)',
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r'Lower Right \( 528000.468, 417703.377\) \( 82d41\'55.5\d"W, 27d45\'32.2\d"N\)',
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r'Center \( 519850.468, 426403.377\) \( 82d46\'50.6\d"W, 27d50\'16.9\d"N\)',
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]:
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self.assertRegex(infos, line)
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# CRS (skip the name because string depends on the GDAL/Proj versions).
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self.assertIn("NAD83 / Florida GDL Albers", infos)
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def test_compressed_file_based_raster_creation(self):
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rstfile = tempfile.NamedTemporaryFile(suffix='.tif')
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# Make a compressed copy of an existing raster.
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compressed = self.rs.warp({'papsz_options': {'compress': 'packbits'}, 'name': rstfile.name})
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# Check physically if compression worked.
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self.assertLess(os.path.getsize(compressed.name), os.path.getsize(self.rs.name))
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# Create file-based raster with options from scratch.
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compressed = GDALRaster({
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'datatype': 1,
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'driver': 'tif',
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'name': rstfile.name,
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'width': 40,
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'height': 40,
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'srid': 3086,
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'origin': (500000, 400000),
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'scale': (100, -100),
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'skew': (0, 0),
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'bands': [{
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'data': range(40 ^ 2),
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'nodata_value': 255,
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}],
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'papsz_options': {
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'compress': 'packbits',
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'pixeltype': 'signedbyte',
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'blockxsize': 23,
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'blockysize': 23,
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}
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})
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# Check if options used on creation are stored in metadata.
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# Reopening the raster ensures that all metadata has been written
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# to the file.
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compressed = GDALRaster(compressed.name)
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self.assertEqual(compressed.metadata['IMAGE_STRUCTURE']['COMPRESSION'], 'PACKBITS',)
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self.assertEqual(compressed.bands[0].metadata['IMAGE_STRUCTURE']['PIXELTYPE'], 'SIGNEDBYTE')
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if GDAL_VERSION >= (2, 1):
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self.assertIn('Block=40x23', compressed.info)
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def test_raster_warp(self):
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# Create in memory raster
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source = GDALRaster({
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'datatype': 1,
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'driver': 'MEM',
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'name': 'sourceraster',
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'width': 4,
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'height': 4,
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'nr_of_bands': 1,
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'srid': 3086,
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'origin': (500000, 400000),
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'scale': (100, -100),
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'skew': (0, 0),
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'bands': [{
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'data': range(16),
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'nodata_value': 255,
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}],
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})
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# Test altering the scale, width, and height of a raster
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data = {
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'scale': [200, -200],
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'width': 2,
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'height': 2,
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}
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target = source.warp(data)
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self.assertEqual(target.width, data['width'])
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self.assertEqual(target.height, data['height'])
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self.assertEqual(target.scale, data['scale'])
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self.assertEqual(target.bands[0].datatype(), source.bands[0].datatype())
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self.assertEqual(target.name, 'sourceraster_copy.MEM')
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result = target.bands[0].data()
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if numpy:
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result = result.flatten().tolist()
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self.assertEqual(result, [5, 7, 13, 15])
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# Test altering the name and datatype (to float)
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data = {
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'name': '/path/to/targetraster.tif',
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'datatype': 6,
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}
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target = source.warp(data)
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self.assertEqual(target.bands[0].datatype(), 6)
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self.assertEqual(target.name, '/path/to/targetraster.tif')
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self.assertEqual(target.driver.name, 'MEM')
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result = target.bands[0].data()
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if numpy:
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result = result.flatten().tolist()
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self.assertEqual(
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result,
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[0.0, 1.0, 2.0, 3.0,
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4.0, 5.0, 6.0, 7.0,
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8.0, 9.0, 10.0, 11.0,
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12.0, 13.0, 14.0, 15.0]
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)
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def test_raster_warp_nodata_zone(self):
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# Create in memory raster.
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source = GDALRaster({
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'datatype': 1,
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'driver': 'MEM',
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'width': 4,
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'height': 4,
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'srid': 3086,
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'origin': (500000, 400000),
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'scale': (100, -100),
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'skew': (0, 0),
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'bands': [{
|
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'data': range(16),
|
|
'nodata_value': 23,
|
|
}],
|
|
})
|
|
# Warp raster onto a location that does not cover any pixels of the original.
|
|
result = source.warp({'origin': (200000, 200000)}).bands[0].data()
|
|
if numpy:
|
|
result = result.flatten().tolist()
|
|
# The result is an empty raster filled with the correct nodata value.
|
|
self.assertEqual(result, [23] * 16)
|
|
|
|
def test_raster_transform(self):
|
|
# Prepare tempfile and nodata value
|
|
rstfile = tempfile.NamedTemporaryFile(suffix='.tif')
|
|
ndv = 99
|
|
|
|
# Create in file based raster
|
|
source = GDALRaster({
|
|
'datatype': 1,
|
|
'driver': 'tif',
|
|
'name': rstfile.name,
|
|
'width': 5,
|
|
'height': 5,
|
|
'nr_of_bands': 1,
|
|
'srid': 4326,
|
|
'origin': (-5, 5),
|
|
'scale': (2, -2),
|
|
'skew': (0, 0),
|
|
'bands': [{
|
|
'data': range(25),
|
|
'nodata_value': ndv,
|
|
}],
|
|
})
|
|
|
|
# Transform raster into srid 4326.
|
|
target = source.transform(3086)
|
|
|
|
# Reload data from disk
|
|
target = GDALRaster(target.name)
|
|
|
|
self.assertEqual(target.srs.srid, 3086)
|
|
self.assertEqual(target.width, 7)
|
|
self.assertEqual(target.height, 7)
|
|
self.assertEqual(target.bands[0].datatype(), source.bands[0].datatype())
|
|
self.assertAlmostEqual(target.origin[0], 9124842.791079799, 3)
|
|
self.assertAlmostEqual(target.origin[1], 1589911.6476407414, 3)
|
|
self.assertAlmostEqual(target.scale[0], 223824.82664250192, 3)
|
|
self.assertAlmostEqual(target.scale[1], -223824.82664250192, 3)
|
|
self.assertEqual(target.skew, [0, 0])
|
|
|
|
result = target.bands[0].data()
|
|
if numpy:
|
|
result = result.flatten().tolist()
|
|
|
|
# The reprojection of a raster that spans over a large area
|
|
# skews the data matrix and might introduce nodata values.
|
|
self.assertEqual(
|
|
result,
|
|
[
|
|
ndv, ndv, ndv, ndv, 4, ndv, ndv,
|
|
ndv, ndv, 2, 3, 9, ndv, ndv,
|
|
ndv, 1, 2, 8, 13, 19, ndv,
|
|
0, 6, 6, 12, 18, 18, 24,
|
|
ndv, 10, 11, 16, 22, 23, ndv,
|
|
ndv, ndv, 15, 21, 22, ndv, ndv,
|
|
ndv, ndv, 20, ndv, ndv, ndv, ndv,
|
|
]
|
|
)
|
|
|
|
|
|
class GDALBandTests(SimpleTestCase):
|
|
rs_path = os.path.join(os.path.dirname(__file__), '../data/rasters/raster.tif')
|
|
|
|
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_statistics(self):
|
|
with tempfile.TemporaryDirectory() as tmp_dir:
|
|
rs_path = os.path.join(tmp_dir, 'raster.tif')
|
|
shutil.copyfile(self.rs_path, rs_path)
|
|
rs = GDALRaster(rs_path)
|
|
band = rs.bands[0]
|
|
pam_file = rs_path + '.aux.xml'
|
|
smin, smax, smean, sstd = 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 = 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(band.min, 0)
|
|
self.assertEqual(band.max, 9)
|
|
self.assertAlmostEqual(band.mean, 2.828326634228898)
|
|
self.assertAlmostEqual(band.std, 2.4260526986669095)
|
|
|
|
# Statistics are persisted into PAM file on band close
|
|
rs = band = None
|
|
self.assertTrue(os.path.isfile(pam_file))
|
|
|
|
def test_read_mode_error(self):
|
|
# Open raster in read mode
|
|
rs = GDALRaster(self.rs_path, write=False)
|
|
band = rs.bands[0]
|
|
|
|
# Setting attributes in write mode raises exception in the _flush method
|
|
with self.assertRaises(GDALException):
|
|
setattr(band, 'nodata_value', 10)
|
|
|
|
def test_band_data_setters(self):
|
|
# Create in-memory raster and get band
|
|
rsmem = GDALRaster({
|
|
'datatype': 1,
|
|
'driver': 'MEM',
|
|
'name': 'mem_rst',
|
|
'width': 10,
|
|
'height': 10,
|
|
'nr_of_bands': 1,
|
|
'srid': 4326,
|
|
})
|
|
bandmem = rsmem.bands[0]
|
|
|
|
# Set nodata value
|
|
bandmem.nodata_value = 99
|
|
self.assertEqual(bandmem.nodata_value, 99)
|
|
|
|
# Set data for entire dataset
|
|
bandmem.data(range(100))
|
|
if numpy:
|
|
numpy.testing.assert_equal(bandmem.data(), numpy.arange(100).reshape(10, 10))
|
|
else:
|
|
self.assertEqual(bandmem.data(), list(range(100)))
|
|
|
|
# Prepare data for setting values in subsequent tests
|
|
block = list(range(100, 104))
|
|
packed_block = struct.pack('<' + 'B B B B', *block)
|
|
|
|
# Set data from list
|
|
bandmem.data(block, (1, 1), (2, 2))
|
|
result = bandmem.data(offset=(1, 1), size=(2, 2))
|
|
if numpy:
|
|
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
|
|
else:
|
|
self.assertEqual(result, block)
|
|
|
|
# Set data from packed block
|
|
bandmem.data(packed_block, (1, 1), (2, 2))
|
|
result = bandmem.data(offset=(1, 1), size=(2, 2))
|
|
if numpy:
|
|
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
|
|
else:
|
|
self.assertEqual(result, block)
|
|
|
|
# Set data from bytes
|
|
bandmem.data(bytes(packed_block), (1, 1), (2, 2))
|
|
result = bandmem.data(offset=(1, 1), size=(2, 2))
|
|
if numpy:
|
|
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
|
|
else:
|
|
self.assertEqual(result, block)
|
|
|
|
# Set data from bytearray
|
|
bandmem.data(bytearray(packed_block), (1, 1), (2, 2))
|
|
result = bandmem.data(offset=(1, 1), size=(2, 2))
|
|
if numpy:
|
|
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
|
|
else:
|
|
self.assertEqual(result, block)
|
|
|
|
# Set data from memoryview
|
|
bandmem.data(memoryview(packed_block), (1, 1), (2, 2))
|
|
result = bandmem.data(offset=(1, 1), size=(2, 2))
|
|
if numpy:
|
|
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
|
|
else:
|
|
self.assertEqual(result, block)
|
|
|
|
# Set data from numpy array
|
|
if numpy:
|
|
bandmem.data(numpy.array(block, dtype='int8').reshape(2, 2), (1, 1), (2, 2))
|
|
numpy.testing.assert_equal(
|
|
bandmem.data(offset=(1, 1), size=(2, 2)),
|
|
numpy.array(block).reshape(2, 2)
|
|
)
|
|
|
|
# Test json input data
|
|
rsmemjson = GDALRaster(JSON_RASTER)
|
|
bandmemjson = rsmemjson.bands[0]
|
|
if numpy:
|
|
numpy.testing.assert_equal(
|
|
bandmemjson.data(),
|
|
numpy.array(range(25)).reshape(5, 5)
|
|
)
|
|
else:
|
|
self.assertEqual(bandmemjson.data(), list(range(25)))
|
|
|
|
def test_band_statistics_automatic_refresh(self):
|
|
rsmem = GDALRaster({
|
|
'srid': 4326,
|
|
'width': 2,
|
|
'height': 2,
|
|
'bands': [{'data': [0] * 4, 'nodata_value': 99}],
|
|
})
|
|
band = rsmem.bands[0]
|
|
# Populate statistics cache
|
|
self.assertEqual(band.statistics(), (0, 0, 0, 0))
|
|
# Change data
|
|
band.data([1, 1, 0, 0])
|
|
# Statistics are properly updated
|
|
self.assertEqual(band.statistics(), (0.0, 1.0, 0.5, 0.5))
|
|
# Change nodata_value
|
|
band.nodata_value = 0
|
|
# Statistics are properly updated
|
|
self.assertEqual(band.statistics(), (1.0, 1.0, 1.0, 0.0))
|
|
|
|
def test_band_statistics_empty_band(self):
|
|
rsmem = GDALRaster({
|
|
'srid': 4326,
|
|
'width': 1,
|
|
'height': 1,
|
|
'bands': [{'data': [0], 'nodata_value': 0}],
|
|
})
|
|
self.assertEqual(rsmem.bands[0].statistics(), (None, None, None, None))
|
|
|
|
def test_band_delete_nodata(self):
|
|
rsmem = GDALRaster({
|
|
'srid': 4326,
|
|
'width': 1,
|
|
'height': 1,
|
|
'bands': [{'data': [0], 'nodata_value': 1}],
|
|
})
|
|
if GDAL_VERSION < (2, 1):
|
|
msg = 'GDAL >= 2.1 required to delete nodata values.'
|
|
with self.assertRaisesMessage(ValueError, msg):
|
|
rsmem.bands[0].nodata_value = None
|
|
else:
|
|
rsmem.bands[0].nodata_value = None
|
|
self.assertIsNone(rsmem.bands[0].nodata_value)
|
|
|
|
def test_band_data_replication(self):
|
|
band = GDALRaster({
|
|
'srid': 4326,
|
|
'width': 3,
|
|
'height': 3,
|
|
'bands': [{'data': range(10, 19), 'nodata_value': 0}],
|
|
}).bands[0]
|
|
|
|
# Variations for input (data, shape, expected result).
|
|
combos = (
|
|
([1], (1, 1), [1] * 9),
|
|
(range(3), (1, 3), [0, 0, 0, 1, 1, 1, 2, 2, 2]),
|
|
(range(3), (3, 1), [0, 1, 2, 0, 1, 2, 0, 1, 2]),
|
|
)
|
|
for combo in combos:
|
|
band.data(combo[0], shape=combo[1])
|
|
if numpy:
|
|
numpy.testing.assert_equal(band.data(), numpy.array(combo[2]).reshape(3, 3))
|
|
else:
|
|
self.assertEqual(band.data(), list(combo[2]))
|