Skip to main content

Command line script and Python library to read Storm Water Management Model binary output.

Project description

Tests Test Coverage Latest release BSD-3 clause license PyPI - Python Version

swmmtoolbox - Overview

The swmmtoolbox is a Python script to read the Storm Water Management Model (SWMM) version 5 binary output files.

Requirements

Python - of course, version 3.10+.

Installation

The swmmtoolbox is available via pip or conda.

pip

pip install swmmtoolbox

conda

conda install -c conda-forge swmmtoolbox

Usage

Command Line

Just run ‘swmmtoolbox –help’ to get a list of subcommands and options:

usage: swmmtoolbox [-h]
                   {about,catalog,extract,listdetail,listvariables,stdtoswmm5}
                   ...

positional arguments:
  {about,catalog,extract,listdetail,listvariables,stdtoswmm5}
    about               Display version number and system information.
    catalog             List the catalog of objects in output file.
    extract             Get the time series data for a particular object and
                        variable.
    listdetail          List nodes and metadata in output file.
    listvariables       List variables available for each type.
    stdtoswmm5          Take the toolbox standard format and return SWMM5
                        format.

options:
  -h, --help            show this help message and exit

Python API

Simply import swmmtoolbox:

import swmmtoolbox

ntsd = swmmtoolbox.extract("tests/frutal.out", "node,45,Hydraulic_head")

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

swmmtoolbox-4.1.2.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

swmmtoolbox-4.1.2-py3-none-any.whl (67.4 kB view details)

Uploaded Python 3

File details

Details for the file swmmtoolbox-4.1.2.tar.gz.

File metadata

  • Download URL: swmmtoolbox-4.1.2.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for swmmtoolbox-4.1.2.tar.gz
Algorithm Hash digest
SHA256 776ee1a21ea55f153372b2425b9cd253869c13c4377d3dea45b0fb31f6f2e655
MD5 35a314509000a02269c39c1e2e012dec
BLAKE2b-256 004f127277fe0c2ba65a0372051a9519bacfae1d74c44a701e767ce53fa4fe95

See more details on using hashes here.

Provenance

The following attestation bundles were made for swmmtoolbox-4.1.2.tar.gz:

Publisher: pypi-package.yml on timcera/swmmtoolbox

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file swmmtoolbox-4.1.2-py3-none-any.whl.

File metadata

  • Download URL: swmmtoolbox-4.1.2-py3-none-any.whl
  • Upload date:
  • Size: 67.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for swmmtoolbox-4.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 1477d04a7f8925a29aae8b991f018b4f5cce7f651b36b4a1e982a3965f1fb05f
MD5 a2b636b1abcdecb235fbb919e2f6c5cd
BLAKE2b-256 68151172f253ea7f714fa405105f092417b0d45299b9d5be04fb11987084df8e

See more details on using hashes here.

Provenance

The following attestation bundles were made for swmmtoolbox-4.1.2-py3-none-any.whl:

Publisher: pypi-package.yml on timcera/swmmtoolbox

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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