Spark Release 1.3.0. Spark 1.3.0 is the fourth release on the 1.X line. This release brings a new DataFrame API alongside the graduation of Spark SQL from an alpha project. It also brings usability improvements in Spark’s core engine and expansion of MLlib and Spark Streaming.
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Rasterio reads and writes geospatial raster data.Geographic information systems use GeoTIFF and other formats to organize andstore gridded, or raster, datasets. Rasterio reads and writes these formats andprovides a Python API based on N-D arrays.Rasterio 1.0.x works with Python versions 2.7.x and 3.5.0 through 3.7.x, and GDALversions 1.11.x through 2.4.x. Official binary packages for Linux and Mac OS X areavailable on PyPI. Unofficial binary packages for Windows are available through otherchannels.Rasterio 1.0.x is not compatible with GDAL versions 3.0.0 or greater.Read the documentation for more details:. ExampleHere’s an example of some basic features that Rasterio provides.
Three bandsare read from an image and averaged to produce something like a panchromaticband. This new band is then written to a new single band TIFF. Import numpy as np import rasterio # Read raster bands directly to Numpy arrays.
# with rasterio. Open ( 'tests/data/RGB.byte.tif' ) as src: r, g, b = src. Read # Combine arrays in place. Expecting that the sum will # temporarily exceed the 8-bit integer range, initialize it as # a 64-bit float (the numpy default) array. Adding other # arrays to it in-place converts those arrays 'up' and # preserves the type of the total array. Shape ) for band in r, g, b: total += band total /= 3 # Write the product as a raster band to a new 8-bit file. 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.
Profile = src. Profile profile.
Update ( dtype = rasterio. Uint8, count = 1, compress = 'lzw' ) with rasterio. Open ( 'example-total.tif', 'w',. profile ) as dst: dst. Write ( total. Astype ( rasterio.
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Uint8 ), 1 )The output. OS XBinary distributions with GDAL, GEOS, and PROJ4 libraries included are availablefor OS X versions 10.7+ starting with Rasterio version 0.17. To install,run pip install rasterio. These binary wheels are preferred by newerversions of pip.If you don’t want these wheels and want to install from a source distribution,run pip install rasterio -no-binary rasterio instead.The included GDAL library is fairly minimal, providing only the format driversthat ship with GDAL and are enabled by default.
To get access to more formats,you must build from a source distribution (see below). WindowsYou can download a binary distribution of GDAL from. You will also need to downloadthe compiled libraries and headers (include files).When building from source on Windows, it is important to know that setup.pycannot rely on gdal-config, which is only present on UNIX systems, to discoverthe locations of header files and libraries that rasterio needs to compile itsC extensions. On Windows, these paths need to be provided by the user.
Youwill need to find the include files and the library files for gdal and usesetup.py as follows. $ python setup.py buildext -I -lgdali -L$ python setup.py installWe have had success compiling code using the same version of Microsoft’sVisual Studio used to compile the targeted version of Python (more info onversions used.).Note: The GDAL dll (gdal111.dll) and gdal-data directory need to be in yourWindows PATH otherwise rasterio will fail to work. SupportThe primary forum for questions about installation and usage of Rasterio is.
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The authors and other users will answerquestions when they have expertise to share and time to explain. Please takethe time to craft a clear question and be patient about responses.Please do not bring these questions to Rasterio’s issue tracker, which we wantto reserve for bug reports and other actionable issues.While Rasterio’s repo is in the Mapbox GitHub organization, Mapbox’s Supportteam is focused on customer support for its commercial platform and Rasteriosupport requests may be perfunctorily closed with or without a link to. It’s better to bring questions directly tothe main Rasterio group at groups.io.
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