I asked before I realised this site existed. As this site it more appropriate, I'll ask it here too. I'm trying to install gdal from pip pip install gdal inside a virtual environment (Ubuntu). It fails because it cannot find cplport.h extensions/gdalwrap.cpp:2853:22: fatal error: cplport.h: No such file or directory compilation terminated However GDAL is installed correctly and the header file is located at /usr/include/gdal/cplport.h. Is there some environment variable for GDAL that needs to be set in order for pip to find the header files? Selimnairb's answer is close but you wont have the headers unless you've installed libgdal-dev: sudo apt-get install libgdal-dev with that done, export CPLUSINCLUDEPATH=/usr/include/gdal export CINCLUDEPATH=/usr/include/gdal and then pip install GDAL The compilation ran to completion and I have GDAL in my virtual env. (edit 2018) Note: To be sure that you install the correct version and avoid any problem.
The main advantage of that solution is that it install pip for the python version that has been used to run get-pip.py, which means that if you use the default OS X installation of python to run get-pip.py you will install pip for the python install from the system.
Retrieve the version with gdal-config -version. And then: pip install GDALversion.
Τhe header files cannot be found for some reason. Maybe you you are operating inside a Virtual Enviroment or they are not where they should be for some reason. In any case you can specify the include dirs when installing gdal via pip. After following a subset of this advice, this is how I got the Python GDAL 1.11.0 (the solution should be version-independent, see below) install to work on Ubuntu 14.04 with pip: Install dependencies: sudo apt-get install libgdal-dev libgdal1h pip install by passing along the include path (prefix with sudo for system-wide install) and instructing pip to install the version matching the system installed GDAL version: pip install -global-option=buildext -global-option='-I/usr/include/gdal' GDAL `gdal-config -version `. Thank you, this ended up working for me.
Though I had to modify slightly as I'm attempting to stick to the cartodb installation as strictly as possible, I ended up using this as my final working install command: sudo pip install -no-use-wheel -r pythonrequirements.txt -global-option=buildext -global-option='-I/usr/include/gdal' pythonrequirements.txt specifies an older version of gdal. I doubt it would matter to be honest, but the entire pip install set completes successfully. U 12.04x64 – Jul 25 '16 at 21:32. Installing Python package gdal into virualenv on Linux GDAL provides nice toolkit for GEO related operations. However, installing it to virtualenv on Linux is not trivial task. This recipe describes, how to do that.
Note here I use lowercase gdal for Python package and upper case GDAL for general system wide library. Requirements. allow using osgeo libraries (installed via gdal Python package) into virtualenv. allow installing on Linux Ubuntu Installation methods There are multiple methods for installation. One requires compilation and takes few minutes more.
The other is using wheel package of pygdal package and is very quick. Anyway, to create the wheel package one needs to create it once and the creation includes the compilation step anyway. About GDAL packages and versions GDAL is general C() based library for GEO related calculations. GDAL utilities can be installed system wide what makes shared libraries available, but does not install Python package itself. GDAL comes in different versions and each Linux distribution may by default install different version.
Python package gdal requires compilation and is not trivial to install on Linux based systems as it expects few environmental variables to be set. This makes installation into virtualenv more difficult. Each gdal version might assume different version of GDAL and will fail installing if expected version is not present in the system. Python package pygdal is alternative to gdal, which installs exactly the same stuff as gdal, but does it in much more virtualenv friendly manner. Pygdal comes in versions reflecting related GDAL version. So having GDAL version 1.10.1 in the system you shall install pygdal version 1.10.1. Python package gdal (as well as pygdal) uses root python package named osgeo and has set of submodules, one being osgeo.gdal.
If needed, other than default versions of GDAL can be installed and used. This is out of scope of this description. Wheel packages can be cross-compiled, this is also out of scope. Installing GDAL into system As pygdal requires GDAL shared libraries to be present, we must install them first.
Assuming GDAL is not yet installed, calling gdal-config will complain and give you a hint how to follow up: $ gdal-config -version The program 'gdal-config' is currently not installed. You can install it by typing: sudo apt-get install libgdal-dev Follow the hint and install it: $ sudo apt-get install libgdal-dev Each distribution may use different version of GDAL. To find out which we use: $ gdal-config -version 1.10.1 Now you know, GDAL is installed and the version is 1.10.1 (the version can vary). Install pygdal from source package (requires compilation) Currently pygdal is provided only in tar.gz package, which contains package sources and requires compilation. Assuming, the version of GDAL is 1.10.1 and that our virtualenv is already activated: $ pip install pygdal1.10.1 It may take a while to complete, is it needs numpy, which may also require some compilation. Check, it is installed: $ pip freeze grep pygdal pygdal1.10.1.0 From now on, you may use osgeo package in your Python code as you like in exactly the same manner as if you would install it by gdal Python package. Creating wheel package for pygdal Note, that wheel packages must be created for exactly the same architecture, namely must match:.
CPU architecture. OS (Linux/Windows) In our case, it must also match the version of GDAL installed.
Following steps can be done in virtualenv or not, as you like. First, make sure, wheel package is installed: $ pip install wheel Assuming, you have GDAL installed and it has version 1.10.1: $ pip wheel pygdal1.10.1.0 and wait, until it completes. After this, you shall find subdirectory wheelhouse and it shall contain packages with extension `whl`: $ ls wheelhouse numpy-1.9.1-cp27-none-linuxx8664.whl pygdal-1.10.1.0-cp27-none-linuxx8664.whl Install pygdal from wheel packages Installation from wheel formatted packages is much faster (a second compared to minutes), as it does not require compilation. Note, that directory with wheel packages can have any name, we will use just the name wheelhouse. Activate virtualenv first. Ensure, you have in wheelhouse directory both required wheel packages (for pygdal and numpy).
Ensure, GDAL is installed and the version matches version of pygdal. Install pygdal from wheel package: $ pip install pygdal1.10.1.0 -f wheelhouse The -f wheelhouse shall point to the directory with whl files. There is no need to install numpy, it gets installed automatically. I was having similar problems on a Mac. This is how I resolved it: Firstly, I set up a virtual Python 2.7 environment using virtualenv. The Python distribution was installed in a directory called 'env'.
I then used fink to install gdal fink selfupdate fink update-all fink install gdal I also installed gdal-dev but this may not have been required since it might have already been installed with gdal. I checked the version installed using: gdal-config -version On my installation, it produced the result 1.11.1 The fink installation of gdal installed the cplport.h header file in /sw/include/gdal1. Check your own installation. I then entered: export CPLUSINCLUDEPATH=/sw/include/gdal1 export CINCLUDEPATH=/sw/include/gdal1 env/bin/pip install pygdal1.11.1 That seemed to work for me but I haven't tested installation yet.
Python Wheels What are wheels? Are of Python distribution and are intended to replace eggs. Support is offered in pip = 1.4 and setuptools = 0.8.
Advantages of wheels. Faster installation for pure Python and native C extension packages.
Avoids arbitrary code execution for installation. (Avoids setup.py). Installation of a C extension does not require a compiler on Linux, Windows or macOS. Allows better caching for testing and continuous integration. Creates.pyc files as part of installation to ensure they match the Python interpreter used. More consistent installs across platforms and machines.
What is this list? This site shows the top 360 most-downloaded packages on showing which have been uploaded as wheel archives. Green packages offer wheels,. White packages have no wheel archives uploaded (yet!). Packages that are known to be deprecated are not included. (For example distribute). If your package is incorrectly listed, please.
This used to show the all-time most-downloaded packages. The all-time list is no longer available, and the packages in will change to reflect more closely what the Python community is using. This is not the official website for wheels, just a nice visual way to measure adoption. To see the authoritative guide on wheels and other aspects of Python packaging, see the. My package is white. What can I do?
Pure Python If you have a pure Python package that is not using 2to3 for Python 3 support, you've got it easy. Make sure Wheel is installed pip install wheel and when you'd normally run python setup.py sdist upload, run instead python setup.py sdist bdistwheel upload. For a more in-depth explanation, see this guide on.
Note: If your project is Python 2 and 3 compatible you can create a universal wheel distribution. Create a file called setup.cfg with the following content and upload your package. bdistwheel universal = 1 Warning: If your project has optional C extensions, it is recommended not to publish a universal wheel, because pip will prefer the wheel over a source installation. Note: To include your project's license file in the wheel distribution, specify the licensefile key in the metadata section. This helps comply with many open source licenses that require the license text to be included in every distributable artifact of the project. metadata licensefile = LICENSE C extensions PyPI currently allows uploading platform-specific wheels for Windows, macOS and Linux. It is useful to create wheels for these platforms, as it avoids the need for your users to compile the package when installing.
You will need to have access to the platform you are building for. Something's wrong with this page! Fantastic, a problem found is a problem fixed. You can also. Note: Requests for behavioural changes in the packaging tools themselves should be directed to and the. Thanks Thanks to the for the concept and making their code open source, for his help on IRC, for the intro copy, and for pointing me in the right direction as usual.