Simpleseps raster 1.2.4
Questions when they have expertise to share and time to explain. The primary forum for questions about installation and usage of Rasterio is Windows PATH otherwise rasterio will fail to work. 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 1.2.4 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 1.2.4 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 1.2.4 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. 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.