Python 3.10 is tested for support by spaghetti. Please make sure that you are operating in a Python >= 3.10 environment.
Installation¶
Installing with conda via spaghetti-feedstock (highly recommended)¶
To install spaghetti and all its dependencies, we recommend using the conda manager, specifically with the conda-forge channel. This can be obtained by installing the Anaconda Distribution (a free Python distribution for data science), or through miniconda (minimal distribution only containing Python and the conda package manager).
Using conda, spaghetti can be installed as follows:
$ conda config --set channel_priority strict
$ conda install --channel conda-forge spaghetti
Also, geopandas provides a nice example to create a fresh environment for working with spatial data.
Installing with Python Package Index¶
$ pip install spaghetti
or download the source distribution (.tar.gz) and decompress it to your selected destination. Open a command shell and navigate to the decompressed folder.
$ pip install .
Warning
When installing via pip, you have to ensure that the required dependencies for spaghetti are installed on your operating system. Details on how to install these packages are linked here. Using conda (above) avoids having to install the dependencies separately.
Development Version¶
Install the most current development version of spaghetti by running:
$ pip install git+https://github.com/pysal/spaghetti
You can also fork the pysal/spaghetti repo and create a local clone of your fork. By making changes to your local clone and submitting a pull request to pysal/spaghetti, you can contribute to the spaghetti development.