Fixed #27421 -- Added shape, size, and offset controls to GDALRaster constructor.
Thanks Tim Graham for the review.
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@ -108,9 +108,22 @@ class GDALRaster(GDALBase):
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# Set band data if provided
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for i, band_input in enumerate(ds_input.get('bands', [])):
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band = self.bands[i]
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band.data(band_input['data'])
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if 'nodata_value' in band_input:
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band.nodata_value = band_input['nodata_value']
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# Instantiate band filled with nodata values if only
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# partial input data has been provided.
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if band.nodata_value is not None and (
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'data' not in band_input or
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'size' in band_input or
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'shape' in band_input):
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band.data(data=(band.nodata_value,), shape=(1, 1))
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# Set band data values from input.
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band.data(
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data=band_input.get('data'),
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size=band_input.get('size'),
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shape=band_input.get('shape'),
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offset=band_input.get('offset'),
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)
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# Set SRID
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self.srs = ds_input.get('srid')
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@ -339,16 +352,12 @@ class GDALRaster(GDALBase):
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if 'datatype' not in ds_input:
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ds_input['datatype'] = self.bands[0].datatype()
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# Set the number of bands
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ds_input['nr_of_bands'] = len(self.bands)
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# Instantiate raster bands filled with nodata values.
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ds_input['bands'] = [{'nodata_value': bnd.nodata_value} for bnd in self.bands]
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# Create target raster
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target = GDALRaster(ds_input, write=True)
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# Copy nodata values to warped raster
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for index, band in enumerate(self.bands):
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target.bands[index].nodata_value = band.nodata_value
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# Select resampling algorithm
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algorithm = GDAL_RESAMPLE_ALGORITHMS[resampling]
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@ -1117,16 +1117,39 @@ blue.
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>>> rst = GDALRaster('/path/to/your/raster.tif', write=False)
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>>> rst.name
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'/path/to/your/raster.tif'
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>>> rst.width, rst.height # This file has 163 x 174 pixels
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>>> rst.width, rst.height # This file has 163 x 174 pixels
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(163, 174)
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>>> rst = GDALRaster({'srid': 4326, 'width': 1, 'height': 2, 'datatype': 1
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... 'bands': [{'data': [0, 1]}]}) # Creates in-memory raster
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>>> rst = GDALRaster({ # Creates an in-memory raster
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... 'srid': 4326,
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... 'width': 4,
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... 'height': 4,
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... 'datatype': 1,
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... 'bands': [{
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... 'data': (2, 3),
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... 'offset': (1, 1),
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... 'size': (2, 2),
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... 'shape': (2, 1),
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... 'nodata_value': 5,
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... }]
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... })
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>>> rst.srs.srid
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4326
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>>> rst.width, rst.height
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(1, 2)
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(4, 4)
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>>> rst.bands[0].data()
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array([[0, 1]], dtype=int8)
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array([[5, 5, 5, 5],
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[5, 2, 3, 5],
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[5, 2, 3, 5],
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[5, 5, 5, 5]], dtype=uint8)
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.. versionchanged:: 1.11
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Added the ability to pass the ``size``, ``shape``, and ``offset``
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parameters when creating :class:`GDALRaster` objects. The parameters
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can be passed through the ``ds_input`` dictionary. This allows to
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finely control initial pixel values. The functionality is similar to
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the :meth:`GDALBand.data()<django.contrib.gis.gdal.GDALBand.data>`
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method.
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.. attribute:: name
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@ -148,6 +148,9 @@ Minor features
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* PostGIS migrations can now change field dimensions.
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* Added the ability to pass the `size`, `shape`, and `offset` parameter when
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creating :class:`~django.contrib.gis.gdal.GDALRaster` objects.
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:mod:`django.contrib.messages`
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@ -190,6 +190,64 @@ class GDALRasterTests(unittest.TestCase):
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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_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 becaues no nodata value has been specified.
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self.assertEqual(result, [0] * 4)
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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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@ -246,6 +304,29 @@ class GDALRasterTests(unittest.TestCase):
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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),
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'nodata_value': 23,
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}],
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})
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# Warp raster onto a location that does not cover any pixels of the original.
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result = source.warp({'origin': (200000, 200000)}).bands[0].data()
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if numpy:
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result = result.flatten().tolist()
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# The result is an empty raster filled with the correct nodata value.
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self.assertEqual(result, [23] * 16)
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def test_raster_transform(self):
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if GDAL_VERSION < (1, 8, 1):
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self.skipTest("GDAL >= 1.8.1 is required for this test")
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