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Run pip install rasterio -no-binary rasterio instead. If you don't want these wheels and want to install from a source distribution, These binary wheels are preferred by newer versions of pip. OS Xīinary distributions with GDAL, GEOS, and PROJ4 libraries included areĪvailable for OS X versions 10.9+. Rasterio distributions are available from UbuntuGIS and Anaconda's conda-forge The rasterio wheels on PyPI include GDAL and its own dependencies. Use a binary distribution that directly or indirectly provides GDAL if Rasterio's Python dependencies are (see the package metadata file): affineĭevelopment requires Cython and other packages. The non standard GEOS and PROJ4 libraries. Other libraries provided by most major operating systems and also depends on Rasterio has a C library dependency: GDAL >= 2.3. $ export CURL_CA_BUNDLE=/etc/ssl/certs/ca-certificates.crt Dependencies Variable to specify the location of SSL certs on your computer. You may need to use the CURL_CA_BUNDLE environment Ubuntu's certs, for example, are inĪ different location. The Linux wheels on PyPI are built on CentOS and libcurl expects certs to be in Please install Rasterio in a virtual environment so that its requirements don't Seeįor more information on building plugins.įor a list of available plugins.
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Rio provides the ability to create subcommands using plugins. > np.nanmin(b), np.nanmax(b), np.nanmean(b)
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Type "src.meta", "src.read(1)", or "help(src)" for more information. Rasterio 0.10 Interactive Inspector (Python 3.4.1) Rasterio gives access to properties of a geospatial raster file. open( 'example-total.tif', 'w', ** profile) as dst:ĭst. 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. Total += band total /= 3 # Write the product as a raster band to a new 8-bit file. 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. Import numpy as np import rasterio # Read raster bands directly to Numpy arrays.