spaghetti

Spaghetti is an open-source Python library for the analysis of network-based spatial data. Originating from the network module in PySAL (Python Spatial Analysis Library), it is under active development for the inclusion of newly proposed methods for building graph-theoretic networks and the analysis of network events.

An example of a network's minimum spanning tree:

mst_logo_pasta

Examples

The following are a selection of some examples that can be launched individually as interactive binders from the links on their respective pages. Additional examples can be found in the Tutorials section of the documentation. See the pysal/notebooks project for a jupyter-book version of this repository.

Installation

As of version 1.5.3, spaghetti officially supports Python 3.6, 3.7, 3.8, and 3.9. Please make sure that you are operating in a Python >= 3.6 environment.

Installing with conda via conda-forge (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 PyPI

$ 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 below. Using conda (above) avoids having to install the dependencies separately.

Install the most current development version of spaghetti by running:

$ pip install git+https://github.com/pysal/spaghetti

GitHub

https://github.com/pysal/spaghetti