US-EPA-SWMM python interface
Project description
© Institute of Urban Water Management and Landscape Water Engineering, Graz University of Technology and Markus Pichler
This is an API for reading, manipulating and running SWMM-Projects
With this package you can read INP-files, manipulate them and write new ones. You can run swmm within the python api. And you can read the OUT-file as a pandas DataFrame for further analysis.
This package is based on the command line SWMM syntax. (see Appendix D in the SWMM User Manual 5.1)
Install the package:
pip install swmm-api
Read, manipulate and write the INP-File
Read the INP-File
from swmm_api.input_file.section_labels import TIMESERIES
from swmm_api import read_inp_file
inp = read_inp_file('inputfile.inp', convert_sections=[TIMESERIES]) # type: swmm_api.input_file.inp_helpers.InpData
# convert_sections limits the convertions during the reading of the file to the following section
# remove "convert_sections" to convert all sections
# converting sections helps manipulating the inp file
# unconverted sections will be loaded as the raw string
sec_timeseries = inp[TIMESERIES] # type: InpSection
ts = inp[TIMESERIES]['regenseries'].frame # type: pandas.Series
Manipulate the INP-File
from swmm_api import read_inp_file
from swmm_api.input_file.section_labels import JUNCTIONS
inp = read_inp_file('inputfile.inp') # type: swmm_api.input_file.inp_helpers.InpData
inp[JUNCTIONS]['J01'].Elevation = 210
Write the manipulated INP-File
inp.write_file('new_inputfile.inp')
see examples/inp_file_reader.ipynb
see examples/inp_file_structure.ipynb
see examples/inp_file_macros.ipynb
Run SWMM
from swmm_api import swmm5_run
swmm5_run('new_inputfile.inp')
Read the OUT-File
from swmm_api import read_out_file
out = read_out_file('new_inputfile.out') # type: swmm_api.output_file.out.SwmmOutHandler
df = out.to_frame() # type: pandas.DataFrame
see examples/out_file_reader.ipynb
Read the RPT-File
from swmm_api import read_rpt_file
rpt = read_rpt_file('new_inputfile.rpt') # type: swmm_api.report_file.report.Report
node_flooding_summary = rpt.node_flooding_summary # type: pandas.DataFrame
see examples/rpt_file_reader.ipynb
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