mirror of
https://github.com/django/django.git
synced 2024-12-25 02:26:12 +00:00
597 lines
21 KiB
Python
597 lines
21 KiB
Python
"""
|
|
gdalinfo tests/gis_tests/data/rasters/raster.tif:
|
|
|
|
Driver: GTiff/GeoTIFF
|
|
Files: tests/gis_tests/data/rasters/raster.tif
|
|
Size is 163, 174
|
|
Coordinate System is:
|
|
PROJCS["NAD83 / Florida GDL Albers",
|
|
GEOGCS["NAD83",
|
|
DATUM["North_American_Datum_1983",
|
|
SPHEROID["GRS 1980",6378137,298.2572221010002,
|
|
AUTHORITY["EPSG","7019"]],
|
|
TOWGS84[0,0,0,0,0,0,0],
|
|
AUTHORITY["EPSG","6269"]],
|
|
PRIMEM["Greenwich",0],
|
|
UNIT["degree",0.0174532925199433],
|
|
AUTHORITY["EPSG","4269"]],
|
|
PROJECTION["Albers_Conic_Equal_Area"],
|
|
PARAMETER["standard_parallel_1",24],
|
|
PARAMETER["standard_parallel_2",31.5],
|
|
PARAMETER["latitude_of_center",24],
|
|
PARAMETER["longitude_of_center",-84],
|
|
PARAMETER["false_easting",400000],
|
|
PARAMETER["false_northing",0],
|
|
UNIT["metre",1,
|
|
AUTHORITY["EPSG","9001"]],
|
|
AUTHORITY["EPSG","3086"]]
|
|
Origin = (511700.468070655711927,435103.377123198588379)
|
|
Pixel Size = (100.000000000000000,-100.000000000000000)
|
|
Metadata:
|
|
AREA_OR_POINT=Area
|
|
Image Structure Metadata:
|
|
INTERLEAVE=BAND
|
|
Corner Coordinates:
|
|
Upper Left ( 511700.468, 435103.377) ( 82d51'46.16"W, 27d55' 1.53"N)
|
|
Lower Left ( 511700.468, 417703.377) ( 82d51'52.04"W, 27d45'37.50"N)
|
|
Upper Right ( 528000.468, 435103.377) ( 82d41'48.81"W, 27d54'56.30"N)
|
|
Lower Right ( 528000.468, 417703.377) ( 82d41'55.54"W, 27d45'32.28"N)
|
|
Center ( 519850.468, 426403.377) ( 82d46'50.64"W, 27d50'16.99"N)
|
|
Band 1 Block=163x50 Type=Byte, ColorInterp=Gray
|
|
NoData Value=15
|
|
"""
|
|
import os
|
|
import struct
|
|
import tempfile
|
|
import unittest
|
|
|
|
from django.contrib.gis.gdal import HAS_GDAL
|
|
from django.contrib.gis.gdal.error import GDALException
|
|
from django.contrib.gis.shortcuts import numpy
|
|
from django.test import SimpleTestCase
|
|
from django.utils import six
|
|
from django.utils._os import upath
|
|
|
|
from ..data.rasters.textrasters import JSON_RASTER
|
|
|
|
if HAS_GDAL:
|
|
from django.contrib.gis.gdal import GDALRaster, GDAL_VERSION
|
|
from django.contrib.gis.gdal.raster.band import GDALBand
|
|
|
|
|
|
@unittest.skipUnless(HAS_GDAL, "GDAL is required")
|
|
class GDALRasterTests(unittest.TestCase):
|
|
"""
|
|
Test a GDALRaster instance created from a file (GeoTiff).
|
|
"""
|
|
def setUp(self):
|
|
self.rs_path = os.path.join(os.path.dirname(upath(__file__)),
|
|
'../data/rasters/raster.tif')
|
|
self.rs = GDALRaster(self.rs_path)
|
|
|
|
def test_rs_name_repr(self):
|
|
self.assertEqual(self.rs_path, self.rs.name)
|
|
six.assertRegex(self, repr(self.rs), r"<Raster object at 0x\w+>")
|
|
|
|
def test_rs_driver(self):
|
|
self.assertEqual(self.rs.driver.name, 'GTiff')
|
|
|
|
def test_rs_size(self):
|
|
self.assertEqual(self.rs.width, 163)
|
|
self.assertEqual(self.rs.height, 174)
|
|
|
|
def test_rs_srs(self):
|
|
self.assertEqual(self.rs.srs.srid, 3086)
|
|
self.assertEqual(self.rs.srs.units, (1.0, 'metre'))
|
|
|
|
def test_rs_srid(self):
|
|
rast = GDALRaster({
|
|
'width': 16,
|
|
'height': 16,
|
|
'srid': 4326,
|
|
})
|
|
self.assertEqual(rast.srid, 4326)
|
|
rast.srid = 3086
|
|
self.assertEqual(rast.srid, 3086)
|
|
|
|
def test_geotransform_and_friends(self):
|
|
# Assert correct values for file based raster
|
|
self.assertEqual(
|
|
self.rs.geotransform,
|
|
[511700.4680706557, 100.0, 0.0, 435103.3771231986, 0.0, -100.0]
|
|
)
|
|
self.assertEqual(self.rs.origin, [511700.4680706557, 435103.3771231986])
|
|
self.assertEqual(self.rs.origin.x, 511700.4680706557)
|
|
self.assertEqual(self.rs.origin.y, 435103.3771231986)
|
|
self.assertEqual(self.rs.scale, [100.0, -100.0])
|
|
self.assertEqual(self.rs.scale.x, 100.0)
|
|
self.assertEqual(self.rs.scale.y, -100.0)
|
|
self.assertEqual(self.rs.skew, [0, 0])
|
|
self.assertEqual(self.rs.skew.x, 0)
|
|
self.assertEqual(self.rs.skew.y, 0)
|
|
# Create in-memory rasters and change gtvalues
|
|
rsmem = GDALRaster(JSON_RASTER)
|
|
rsmem.geotransform = range(6)
|
|
self.assertEqual(rsmem.geotransform, [float(x) for x in range(6)])
|
|
self.assertEqual(rsmem.origin, [0, 3])
|
|
self.assertEqual(rsmem.origin.x, 0)
|
|
self.assertEqual(rsmem.origin.y, 3)
|
|
self.assertEqual(rsmem.scale, [1, 5])
|
|
self.assertEqual(rsmem.scale.x, 1)
|
|
self.assertEqual(rsmem.scale.y, 5)
|
|
self.assertEqual(rsmem.skew, [2, 4])
|
|
self.assertEqual(rsmem.skew.x, 2)
|
|
self.assertEqual(rsmem.skew.y, 4)
|
|
self.assertEqual(rsmem.width, 5)
|
|
self.assertEqual(rsmem.height, 5)
|
|
|
|
def test_rs_extent(self):
|
|
self.assertEqual(
|
|
self.rs.extent,
|
|
(511700.4680706557, 417703.3771231986, 528000.4680706557, 435103.3771231986)
|
|
)
|
|
|
|
def test_rs_bands(self):
|
|
self.assertEqual(len(self.rs.bands), 1)
|
|
self.assertIsInstance(self.rs.bands[0], GDALBand)
|
|
|
|
def test_memory_based_raster_creation(self):
|
|
# Create uint8 raster with full pixel data range (0-255)
|
|
rast = GDALRaster({
|
|
'datatype': 1,
|
|
'width': 16,
|
|
'height': 16,
|
|
'srid': 4326,
|
|
'bands': [{
|
|
'data': range(256),
|
|
'nodata_value': 255,
|
|
}],
|
|
})
|
|
|
|
# Get array from raster
|
|
result = rast.bands[0].data()
|
|
if numpy:
|
|
result = result.flatten().tolist()
|
|
|
|
# Assert data is same as original input
|
|
self.assertEqual(result, list(range(256)))
|
|
|
|
def test_file_based_raster_creation(self):
|
|
# Prepare tempfile
|
|
rstfile = tempfile.NamedTemporaryFile(suffix='.tif')
|
|
|
|
# Create file-based raster from scratch
|
|
GDALRaster({
|
|
'datatype': self.rs.bands[0].datatype(),
|
|
'driver': 'tif',
|
|
'name': rstfile.name,
|
|
'width': 163,
|
|
'height': 174,
|
|
'nr_of_bands': 1,
|
|
'srid': self.rs.srs.wkt,
|
|
'origin': (self.rs.origin.x, self.rs.origin.y),
|
|
'scale': (self.rs.scale.x, self.rs.scale.y),
|
|
'skew': (self.rs.skew.x, self.rs.skew.y),
|
|
'bands': [{
|
|
'data': self.rs.bands[0].data(),
|
|
'nodata_value': self.rs.bands[0].nodata_value,
|
|
}],
|
|
})
|
|
|
|
# Reload newly created raster from file
|
|
restored_raster = GDALRaster(rstfile.name)
|
|
self.assertEqual(restored_raster.srs.wkt, self.rs.srs.wkt)
|
|
self.assertEqual(restored_raster.geotransform, self.rs.geotransform)
|
|
if numpy:
|
|
numpy.testing.assert_equal(
|
|
restored_raster.bands[0].data(),
|
|
self.rs.bands[0].data()
|
|
)
|
|
else:
|
|
self.assertEqual(restored_raster.bands[0].data(), self.rs.bands[0].data())
|
|
|
|
def test_offset_size_and_shape_on_raster_creation(self):
|
|
rast = GDALRaster({
|
|
'datatype': 1,
|
|
'width': 4,
|
|
'height': 4,
|
|
'srid': 4326,
|
|
'bands': [{
|
|
'data': (1,),
|
|
'offset': (1, 1),
|
|
'size': (2, 2),
|
|
'shape': (1, 1),
|
|
'nodata_value': 2,
|
|
}],
|
|
})
|
|
# Get array from raster.
|
|
result = rast.bands[0].data()
|
|
if numpy:
|
|
result = result.flatten().tolist()
|
|
# Band data is equal to nodata value except on input block of ones.
|
|
self.assertEqual(
|
|
result,
|
|
[2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 2]
|
|
)
|
|
|
|
def test_set_nodata_value_on_raster_creation(self):
|
|
# Create raster filled with nodata values.
|
|
rast = GDALRaster({
|
|
'datatype': 1,
|
|
'width': 2,
|
|
'height': 2,
|
|
'srid': 4326,
|
|
'bands': [{'nodata_value': 23}],
|
|
})
|
|
# Get array from raster.
|
|
result = rast.bands[0].data()
|
|
if numpy:
|
|
result = result.flatten().tolist()
|
|
# All band data is equal to nodata value.
|
|
self.assertEqual(result, [23, ] * 4)
|
|
|
|
def test_set_nodata_none_on_raster_creation(self):
|
|
if GDAL_VERSION < (2, 1):
|
|
self.skipTest("GDAL >= 2.1 is required for this test.")
|
|
# Create raster without data and without nodata value.
|
|
rast = GDALRaster({
|
|
'datatype': 1,
|
|
'width': 2,
|
|
'height': 2,
|
|
'srid': 4326,
|
|
'bands': [{'nodata_value': None}],
|
|
})
|
|
# Get array from raster.
|
|
result = rast.bands[0].data()
|
|
if numpy:
|
|
result = result.flatten().tolist()
|
|
# Band data is equal to zero becaues no nodata value has been specified.
|
|
self.assertEqual(result, [0] * 4)
|
|
|
|
def test_raster_warp(self):
|
|
# Create in memory raster
|
|
source = GDALRaster({
|
|
'datatype': 1,
|
|
'driver': 'MEM',
|
|
'name': 'sourceraster',
|
|
'width': 4,
|
|
'height': 4,
|
|
'nr_of_bands': 1,
|
|
'srid': 3086,
|
|
'origin': (500000, 400000),
|
|
'scale': (100, -100),
|
|
'skew': (0, 0),
|
|
'bands': [{
|
|
'data': range(16),
|
|
'nodata_value': 255,
|
|
}],
|
|
})
|
|
|
|
# Test altering the scale, width, and height of a raster
|
|
data = {
|
|
'scale': [200, -200],
|
|
'width': 2,
|
|
'height': 2,
|
|
}
|
|
target = source.warp(data)
|
|
self.assertEqual(target.width, data['width'])
|
|
self.assertEqual(target.height, data['height'])
|
|
self.assertEqual(target.scale, data['scale'])
|
|
self.assertEqual(target.bands[0].datatype(), source.bands[0].datatype())
|
|
self.assertEqual(target.name, 'sourceraster_copy.MEM')
|
|
result = target.bands[0].data()
|
|
if numpy:
|
|
result = result.flatten().tolist()
|
|
self.assertEqual(result, [5, 7, 13, 15])
|
|
|
|
# Test altering the name and datatype (to float)
|
|
data = {
|
|
'name': '/path/to/targetraster.tif',
|
|
'datatype': 6,
|
|
}
|
|
target = source.warp(data)
|
|
self.assertEqual(target.bands[0].datatype(), 6)
|
|
self.assertEqual(target.name, '/path/to/targetraster.tif')
|
|
self.assertEqual(target.driver.name, 'MEM')
|
|
result = target.bands[0].data()
|
|
if numpy:
|
|
result = result.flatten().tolist()
|
|
self.assertEqual(
|
|
result,
|
|
[0.0, 1.0, 2.0, 3.0,
|
|
4.0, 5.0, 6.0, 7.0,
|
|
8.0, 9.0, 10.0, 11.0,
|
|
12.0, 13.0, 14.0, 15.0]
|
|
)
|
|
|
|
def test_raster_warp_nodata_zone(self):
|
|
# Create in memory raster.
|
|
source = GDALRaster({
|
|
'datatype': 1,
|
|
'driver': 'MEM',
|
|
'width': 4,
|
|
'height': 4,
|
|
'srid': 3086,
|
|
'origin': (500000, 400000),
|
|
'scale': (100, -100),
|
|
'skew': (0, 0),
|
|
'bands': [{
|
|
'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)
|
|
self.assertAlmostEqual(target.origin[1], 1589911.6476407414)
|
|
self.assertAlmostEqual(target.scale[0], 223824.82664250192)
|
|
self.assertAlmostEqual(target.scale[1], -223824.82664250192)
|
|
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,
|
|
]
|
|
)
|
|
|
|
|
|
@unittest.skipUnless(HAS_GDAL, "GDAL is required")
|
|
class GDALBandTests(SimpleTestCase):
|
|
def setUp(self):
|
|
self.rs_path = os.path.join(os.path.dirname(upath(__file__)), '../data/rasters/raster.tif')
|
|
rs = GDALRaster(self.rs_path)
|
|
self.band = rs.bands[0]
|
|
|
|
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.nodata_value, 15)
|
|
if numpy:
|
|
data = self.band.data()
|
|
assert_array = numpy.loadtxt(
|
|
os.path.join(os.path.dirname(upath(__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_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(six.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]))
|