#Simpleseps raster 1.2 install#
$ pip install -no-use-pep517 -global-option -I -lgdal_i -L. This from the downloads folder, adjusting for your Python version. To install rasterio, simply download both binaries for your system ( rasterio and GDAL) and run something like Windowsīinary wheels for rasterio and GDAL are created by Christoph Gohlke and are You must build from a source distribution (see below). That ship with GDAL and are enabled by default.
#Simpleseps raster 1.2 drivers#
The included GDAL library is fairly minimal, providing only the format drivers 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.
![simpleseps raster 1.2 simpleseps raster 1.2](https://i0.wp.com/graphics-unleashed.com/wp-content/uploads/2017/03/corsair-ddr4-dram-header.jpg)
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. Rio provides the ability to create subcommands using plugins. > np.nanmin(b), np.nanmax(b), np.nanmean(b) 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.