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pyswmm 2.0.1
python wrappers for the Stormwater Management Model (SWMM5)
Getting started
Project Website: www.pyswmm.org
Official PySWMM Documentation
PySWMM YouTube Channel
PySWMM Example Bundles
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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!
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
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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