Installation¶
The package can be installed directly from the Python Package Index or GitHub. The version on GitHub might be more recent, as only stable versions are uploaded to the Python Package Index.
PyPI¶
The version from PyPI can directly be installed using pip
pip install scikit-gstat
GitHub¶
The most recent version from GitHub can be installed like:
git clone git@github.com:mmaelicke/scikit-gstat
cd scikit-gstat
pip install -e .
Conda-Forge¶
Since version 0.5.5, SciKit-GStat is available on Conda-Forge. You can install it like:
conda install -c conda-forge scikit-gstat
Note¶
On Windows, you might run into problems installing all requirements in a clean Python environment, especially if C++ redistributables are missing. This can happen i.e. on bare VMs and the compilation of libraries required by scipy, numpy or numba package are the ones failing. In these cases, install the libraries first, and then SciKit-GStat or move to the conda-forge package
conda install numpy, scipy, numba