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8762f8d05e
A deprecation warning is raised from the transform property and an affine property is added to provide the new feature. For method and function arguments, we sniff out GDAL geotransforms and try to do the right thing with them, also raising deprecation warnings in these cases.
63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
import os
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import shutil
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import subprocess
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import tempfile
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import numpy
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import rasterio
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from rasterio import Affine as A
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from rasterio.warp import reproject, RESAMPLING
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tempdir = '/tmp'
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tiffname = os.path.join(tempdir, 'example.tif')
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with rasterio.drivers():
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# Consider a 512 x 512 raster centered on 0 degrees E and 0 degrees N
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# with each pixel covering 15".
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rows, cols = src_shape = (512, 512)
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dpp = 1.0/240 # decimal degrees per pixel
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# The following is equivalent to
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# A(dpp, 0, -cols*dpp/2, 0, -dpp, rows*dpp/2).
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src_transform = A.translation(-cols*dpp/2, rows*dpp/2) * A.scale(dpp, -dpp)
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src_crs = {'init': 'EPSG:4326'}
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source = numpy.ones(src_shape, numpy.uint8)*255
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# Prepare to reproject this rasters to a 1024 x 1024 dataset in
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# Web Mercator (EPSG:3857) with origin at -8928592, 2999585.
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dst_shape = (1024, 1024)
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dst_transform = A.from_gdal(-237481.5, 425.0, 0.0, 237536.4, 0.0, -425.0)
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dst_transform = dst_transform.to_gdal()
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dst_crs = {'init': 'EPSG:3857'}
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destination = numpy.zeros(dst_shape, numpy.uint8)
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reproject(
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source,
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destination,
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src_transform=src_transform,
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src_crs=src_crs,
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dst_transform=dst_transform,
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dst_crs=dst_crs,
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resampling=RESAMPLING.nearest)
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# Assert that the destination is only partly filled.
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assert destination.any()
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assert not destination.all()
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# Write it out to a file.
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with rasterio.open(
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tiffname,
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'w',
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driver='GTiff',
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width=dst_shape[1],
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height=dst_shape[0],
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count=1,
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dtype=numpy.uint8,
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nodata=0,
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transform=dst_transform,
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crs=dst_crs) as dst:
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dst.write_band(1, destination)
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info = subprocess.call(['open', tiffname])
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