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path: root/reproduce/src/make/dependencies-python.mk
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2019-03-06Astroquery, astropy, matplotlib and numpy are now in the pipelineRaul Infante-Sainz-0/+1
Until this commit, we had some of the python packages intalled but they did not work properly because of the `PYTHONPATH' variables. That is, the pipeline's `python' was the `python' of the system instead of the pipeline's `python'. With this commit this issue has been fixed by setting the correct `PYTHONPATH'. In this commit we also modify the installation of `bzip2' because `CMake' was complaining about some libraries built statically.
2019-02-28Python installation and related packages have been splitRaul Infante-Sainz-1/+13
Until now the installation of Python and its packages (numpy, astropy, astroquery, etc.) were done in the same `makefile'. With this commit the installation of Python and its packages have been split and now it is independent of the other programs. The installation of all Python packages needs to be written explicitely because pip is not used anymore.
2019-02-21Matplotlib is now in the pipelineRaul Infante-Sainz-5/+63
As matplotlib is a general package for plotting and it is widely used in science, we have added it to the pipeline. When installing a dependency of matplotlib `python-dateutil', we found a conflict in the download of the tarball. This is because the name has a dash (-) in the middle. In addition, the name starts with 'python', so it is the same as the python itself. Now it is possible to install any package with any name, just adding an elif in before the URL direction.
2019-02-20Installed astroquery in the pipelineRaul Infante-Sainz-0/+294
All dependencies for building astroquery package have been done. Until nowthe Python dependencies were built in the same Makefile as the high level libraries and programs. But, because astroquery has many dependencies we split the Python and Python packages installation in a new Makefile. The installation of differents packages are done using Python and not pip, because we found some problems when doing it with pip. Apparently there are some interferences between the packages installed by the pip of the system and the pip installed as part of Python in the pipeline.