Note: The GDAL DLL and gdal-data directory need to be in your Visual Studio used to compile the targeted version of Python (more info on
SIMPLESEPS RASTER 1.2 UPDATE CODE
We have had success compiling code using the same version of Microsoft’s To include directories and library files. INCLUDE and LINK) used by MSVC compiler can be used to point Way for optional arguments to be passed to the build backend when using PEP 517.Īlternatively environment variables (e.g. Note: -no-use-pep517 is required as pip currently hasn’t implemented a
SIMPLESEPS RASTER 1.2 UPDATE INSTALL
With pip $ pip install -no-use-pep517 -global-option -I -lgdal_i -L. $ python setup.py build_ext -I -lgdal_i -L install Through the GDAL_VERSION environment variable. You will also need to specify the installed gdal version Will need to find the include files and the library files for gdal and use On Windows, these paths need to be provided by the user. The locations of header files and libraries that rasterio needs to compile itsĬ extensions. When building from source on Windows, it is important to know that setup.pyĬannot rely on gdal-config, which is only present on UNIX systems, to discover The compiled libraries and headers (include files). You can download a binary distribution of GDAL from here. Type "src.meta", "src.read(1)", or "help(src)" for more information. Rasterio 0.10 Interactive Inspector (Python 3.4.1) Insp command opens the hood of any raster dataset so you can poke around Rasterio’s command line interface, named “rio”, is documented at cli.rst. open ( 'example-total.tif', 'w', ** profile ) as dst : dst. uint8, count = 1, compress = 'lzw' ) with rasterio. For # the new file's profile, we start with the meta attributes of # the source file, but then change the band count to 1, set the # dtype to uint8, and specify LZW compression. shape ) for band in r, g, b : total += band total /= 3 # Write the product as a raster band to a new 8-bit file.
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Adding other # arrays to it in-place converts those arrays "up" and # preserves the type of the total array. Expecting that the sum will # temporarily exceed the 8-bit integer range, initialize it as # a 64-bit float (the numpy default) array. open ( 'tests/data/' ) as src : r, g, b = src. import numpy as np import rasterio # Read raster bands directly to Numpy arrays. This new band is then written to a new single band TIFF. Three bandsĪre read from an image and averaged to produce something like a panchromaticīand. Here’s an example of some basic features that Rasterio provides.