It looks like you have activated a conda environment (that you’ve name
Did you install the dependencies as Ubuntu packages or using conda? I’m assuming the former since you mention the
DEPS.Linux file which only covers the former. If not, then it’s best to install the dependencies using conda (when you’ve activated a conda environment).
Here are the steps I’ve used to build pygplates using conda dependencies:
Firstly I add the
conda-forge channel and force the use of only
conda-forge with strict channel priority (all pygplates dependencies are available on
conda-forge, so this prevents mixing of channels).
conda config --add channels conda-forge
conda config --set channel_priority strict
Then I created a conda environment called
pygplates_py38 to build pygplates with:
conda create --name pygplates_py38 python=3.8
…in your case your environment is called
Then I activate the
pygplates_py38 conda environment:
conda activate pygplates_py38
Then I install the pygplates dependencies:
conda install qt qwt cgal gdal boost proj zlib glew
Update: Also install cmake with
conda install cmake. As noted in the post below this is needed on Ubuntu 18.04 (but was not needed on 20.04), but it’s a good idea to do this anyway.
Then I configure pygplates for compilation but instead of running
cmake . as usual, I run:
cmake -DCMAKE_PREFIX_PATH:PATH=~/miniconda3/envs/pygplates_py38 .
~/miniconda3 is where I installed MiniConda3 (the default location). The
CMAKE_PREFIX_PATH tells CMake to look for dependencies in the conda environment first before looking in the standard Ubuntu system locations.
Then I compile pygplates:
Then I set the PYTHONPATH environment to the location of the
pygplates.so just built (it’s in the
bin sub-directory, but you can copy it elsewhere). Then when I run
python in my activated environment I can then
By the way, we should have a conda package available for the next pyGPlates release so that you don’t need to install the dependencies or compile pygplates, instead just running
conda install pygplates.