'Provide a path to gdal-config using a GDAL_CONFIG environment variable error while attempting to install Fiona
This is the error I receive:
A GDAL API version must be specified. Provide a path to gdal-config using a GDAL_CONFIG environment variable or use a GDAL_VERSION environment variable.
after running the command:
pip install Fiona
from the command line. I had to install GDAL manually from a wheel file found here (python 3.7 32bit): https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
I have looked for a solution to this but the suggested solution is to uninstall and reinstall GDAL through Conda, and I am unable to use Conda.
If anyone could tell me simply where the gdal-config
file is that would be fantastic so I can add it to my environment variables. A solution is also very welcome.
Solution 1:[1]
This doesn't show where the gdal-config file is, but solves your fiona issue.
First download the relevant wheel file (looks like Fiona?1.8.4?cp37?cp37m?win32.whl is what you're after and it's available at the site you linked: https://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona).
Then use this command (changing the path to where you file is):
pip install C:/path/to/Fiona?1.8.4?cp37?cp37m?win32.whl
More info here: https://pip.pypa.io/en/latest/user_guide/#installing-from-wheels and How do I install a Python package with a .whl file?
Solution 2:[2]
2 years later, but I thought I would share some insight into this question for anyone who happens on it.
I installed GDAL using https://trac.osgeo.org/osgeo4w/#QuickStartforOSGeo4WUsers. You don't need to install the osgeo GUI or anything, you can manually select what packages you want to install. Additionally it allows the easy install of a bunch of other useful related binaries that are used by many other packages (the one I specifically was having trouble with was cartopy).
After this, start adding things to your path envvar (for windows). For me, I added:
C:\OSGeo4W64\bin
and C:\OSGeo4W64\include
to my path envvar and was able to get everything working after that. I could simply pip install
at the command line with no issue.
This was done as an alternative to conda
, as conda
took 12 hours to tell me it couldn't install the package.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | EzLo |
Solution 2 | Recessive |