Skip to main content

Python Wrapper for SWMM5 API

Project description


python wrappers for the Stormwater Management Model (SWMM5)

GitHub Actions Build Status Documentation Status License Latest PyPI version PyPI Monthly Downloads Cite our Paper

Getting started

Introducing the SWAG STORE! All Proceeds go toward the hosting/service fees related to maintaining the PySWMM Project!!! Get yourself a hoodie or coffee cup!

🆘Do you need HELP?🆘

GitHub Discussions to answer support questions related to PySWMM.

Cite our Paper

McDonnell, Bryant E., Ratliff, Katherine M., Tryby, Michael E., Wu, Jennifer Jia Xin, & Mullapudi, Abhiram. (2020). PySWMM: The Python Interface to Stormwater Management Model (SWMM). Journal of Open Source Software, 5(52), 2292, https://doi.org/10.21105/joss.02292

YouTube Training Vidoes

Setting a manhole inflow during a running simulation!

image

Overview

PySWMM is a Python language software package for the creation, manipulation, and study of the structure, dynamics, and function of complex networks.

With PySWMM you can load and manipulate USEPA Stormwater Management Models. With the development of PySWMM, control algorithms can now be developed exclusively in Python which allows the use of functions and objects as well as storing and tracking hydraulic trends for control actions.

As of version v1.1.0, PySWMM includes new features to process metadata and timeseries stored in SWMM binary output file.

Who uses PySWMM?

PySWMM is used by engineers, modelers, and researchers who want to streamline stormwater modeling optimization, controls, and post-processing results.

Goals

PySWMM is intended to provide

  • tools for the study of the structure and dynamics within USEPA SWMM5,
  • a standard programming interface and graph implementation that is suitable for many applications,
  • a rapid development environment for collaborative, multidisciplinary projects,
  • an interface to USEPA SWMM5,
  • development and implementation of control logic outside of native EPA-SWMM Controls,
  • methods for users to establish their own node inflows,
  • a coding interface to binary output files,
  • new modeling possibilities for the SWMM5 Community.

Install

Get the latest version of PySWMM from PyPI See the Quick Guide!

$ pip install pyswmm

As of version 1.3.1, pyswmm can be installed with specific versions of the SWMM engine ranging from 5.1.14 to 5.2.4 using pip extras:

$ pip install pyswmm[swmm5.2.4]

SWMM and Python Compatibility Table

pyswmm version swmm-toolkit compatibility
(SWMM engine)
python compatibility
1.0.0 - 1.1.1 0.8.2 (SWMM 5.1.13) 3.6 - 3.9
1.2.0 - 1.5.0 0.9.1 - 0.15.0 (SWMM 5.1.14 - 5.2.4)
Note: 0.11.0 (SWMM 5.2.0) only supported on windows
3.7 - 3.12

Usage

A quick example that steps through a simulation:

Examples:

See the Latte Example

from pyswmm import Simulation, Nodes, Links

with Simulation(r'Example1.inp') as sim:
    Node21 = Nodes(sim)["21"]
    print("Invert Elevation: {}". format(Node21.invert_elevation))

    Link15 = Links(sim)['15']
    print("Outlet Node ID: {}".format(Link15.outlet_node))

    # Launch a simulation!
    for ind, step in enumerate(sim):
        if ind % 100 == 0:
            print(sim.current_time,",",round(sim.percent_complete*100),"%",\
                  Node21.depth, Link15.flow)

Opening a SWMM binary output file and accessing model metadata and timeseries.

from pyswmm import Output, SubcatchSeries, NodeSeries, LinkSeries, SystemSeries

with Output('model.out') as out:
    print(len(out.subcatchments))
    print(len(out.nodes))
    print(len(out.links))
    print(out.version)

    sub_ts = SubcatchSeries(out)['S1'].runoff_rate
    node_ts = NodeSeries(out)['J1'].invert_depth
    link_ts = LinkSeries(out)['C2'].flow_rate
    sys_ts = SystemSeries(out).rainfall

Bugs

Our issue tracker is at https://github.com/pyswmm/pyswmm/issues. Please report any bugs that you find. Or, even better, fork the repository on GitHub and create a pull request. All changes are welcome, big or small, and we will help you make the pull request if you are new to git (just ask on the issue).

Contributing

Please check out our Wiki https://github.com/pyswmm/pyswmm/wiki for more information on contributing, including an Author Contribution Checklist.

License

Distributed with a BSD2 license; see LICENSE.txt:

Copyright (C) 2014-2024 PySWMM Developers
Community-Owned See AUTHORS and CITATION.cff

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyswmm-2.0.1.tar.gz (85.9 kB view details)

Uploaded Source

Built Distribution

pyswmm-2.0.1-py3-none-any.whl (111.8 kB view details)

Uploaded Python 3

File details

Details for the file pyswmm-2.0.1.tar.gz.

File metadata

  • Download URL: pyswmm-2.0.1.tar.gz
  • Upload date:
  • Size: 85.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.0

File hashes

Hashes for pyswmm-2.0.1.tar.gz
Algorithm Hash digest
SHA256 b85eb4ac459d67f1a268af8242f9f38ac85dd6e20d6171de008acb7b6b88af0f
MD5 768bbb3a72b20c2a17cb69d7aec3b9fc
BLAKE2b-256 a969682dfcc7e594d0f45c07d769264fb74351c72628ea48d24465efb19b900a

See more details on using hashes here.

File details

Details for the file pyswmm-2.0.1-py3-none-any.whl.

File metadata

  • Download URL: pyswmm-2.0.1-py3-none-any.whl
  • Upload date:
  • Size: 111.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.0

File hashes

Hashes for pyswmm-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 22d50936039b822904500c642ddd69102d5cbd5c1f29523214cbc5d0e7ad55c1
MD5 44b043da625285dcb3690f00d1e59c27
BLAKE2b-256 86aa044e0c2891870c7d7e802a19c5a8e511ea944983aed97c0fa32946564ec5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page