Installing via pip¶
To install the PySD package from the Python package index into an established Python environment, use the pip command:
pip install pysd
Installing with conda¶
To install PySD with conda, using the conda-forge channel, into a conda environment, use the following command:
conda install -c conda-forge pysd
Installing from source¶
To install from the source, clone the project with git:
git clone https://github.com/JamesPHoughton/pysd.git
Or download the latest version from the project webpage: https://github.com/JamesPHoughton/pysd
In the source directory use the command
python setup.py install
PySD was originally built on python 2.7. Hoewever, the last version requires at least python 3.7.
PySD calls on the core Python data analytics stack, and a third party parsing library:
These modules should build automatically if you are installing via pip. If you are building from the source code, or if pip fails to load them, they can be loaded with the same pip syntax as above.
In order to plot results from the model as shown in basic usage:
These Python libraries bring additional data analytics capabilities to the analysis of SD models:
- PyMC: a library for performing Markov chain Monte Carlo analysis
- Scikit-learn: a library for performing machine learning in Python
- NetworkX: a library for constructing networks
- GeoPandas: a library for manipulating geographic data
Additionally, the System Dynamics Translator utility developed by Robert Ward is useful for translating models from other system dynamics formats into the XMILE standard, to be read by PySD.
These modules can be installed using pip with syntax similar to the above.