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  • swmmio — swmmio 0. 6. 6 documentation - Read the Docs
    swmmio¶ v0 6 6 (2023 05 15) swmmio is a set of python tools aiming to provide a means for version control and visualizing results from the EPA Stormwater Management Model (SWMM) Command line tools are also provided for running models individually and in parallel via Python’s multiprocessing module These tools are being developed specifically for the application of flood risk management
  • swmmio. version_control. version_control — swmmio 0. 8. 1 documentation
    Source code for swmmio version_control version_control import pandas as pd import os import itertools from datetime import datetime from swmmio import Model from swmmio version_control import utils as vc_utils from swmmio version_control import inp pd options display max_colwidth = 200
  • swmmio — swmmio 0. 6. 0 documentation - swmmio. readthedocs. io
    swmmio¶ v0 6 0 (2022 12 29) swmmio is a set of python tools aiming to provide a means for version control and visualizing results from the EPA Stormwater Management Model (SWMM) Command line tools are also provided for running models individually and in parallel via Python’s multiprocessing module These tools are being developed specifically for the application of flood risk management
  • swmmio — swmmio 0. 8. 0 documentation - Read the Docs
    swmmio# Programmatic pre and post processing for EPA Stormwater Management Model (SWMM) Introduction# swmmio is a Python tool for engineers and hydrologists who need to supercharge their ability to modify and analyze EPA SWMM models and results Using a familiar Pandas interface, users can replace manual procesess that used to live in spreadsheets with scripts and automation
  • swmmio — swmmio 0. 4. 6 documentation - Read the Docs
    swmmio¶ v0 4 9 (2022 02 22) swmmio is a set of python tools aiming to provide a means for version control and visualizing results from the EPA Stormwater Management Model (SWMM) Command line tools are also provided for running models individually and in parallel via Python’s multiprocessing module These tools are being developed specifically for the application of flood risk management
  • swmmio — swmmio 0. 6. 5 documentation - swmmio. readthedocs. io
    swmmio¶ v0 6 5 (2023 05 02) swmmio is a set of python tools aiming to provide a means for version control and visualizing results from the EPA Stormwater Management Model (SWMM) Command line tools are also provided for running models individually and in parallel via Python’s multiprocessing module These tools are being developed specifically for the application of flood risk management
  • swmmio. graphics package — swmmio 0. 7. 3 documentation
    swmmio graphics utils px_to_irl_coords (df, px_width = 4096 0, bbox = None, shift_ratio = None) [source] # given a dataframe with element id (as index) and X1, Y1 columns (and optionally X2, Y2 columns), return a dataframe with the coords as pixel locations based on the targetImgW
  • swmmio. graphics. swmm_graphics — swmmio 0. 8. 1 documentation
    Notes-----A swmmio Model object can be passed in independently, or Pandas Dataframes for the nodes and conduits of a model may be passed in A dataframe containing parcel data can optionally be passed in Parameters-----model : swmmio Model, optional A swmmio Model object nodes : pandas DataFrame, optional DataFrame for the nodes of a model
  • User Guide — swmmio 0. 8. 0 documentation - swmmio. readthedocs. io
    swmmio 0 8 0 documentation User Guide Reference Changelog GitHub; User Guide Reference Changelog GitHub; Section Navigation Getting Started; Working with PySWMM; Spatial Visualization of SWMM Models; Making Art with EPA SWMM; User Guide; User Guide# Getting Started Edit Model Parameters
  • text — swmmio 0. 8. 0 documentation - swmmio. readthedocs. io
    swmmio utils text find_byte_range_of_section (path, start_string) [source] # returns the start and end “byte” location of substrings in a text file swmmio utils text get_inp_sections_details (inp_path, include_brackets = False) [source] # Creates a dictionary with all the headers found in an INP file (which varies based on what the user has defined in a given model) and updates them
  • dataframes — swmmio 0. 8. 1 documentation - swmmio. readthedocs. io
    swmmio utils dataframes dataframe_from_rpt (rpt_path, section, element_id = None) [source] # create a dataframe from a section of an RPT file Parameters: rpt_path – path to rep file section – title of section to extract element_id – type of element when extracting time series data
  • swmmio. utils. functions — swmmio 0. 8. 0 documentation
    # def drop_invalid_model_elements(inp): # """ # Identify references to elements in the model that are undefined and remove them from the # model These should
  • swmmio — swmmio 0. 4. 6 documentation - Read the Docs
    swmmio¶ v0 4 7 (2021 01 06) swmmio is a set of python tools aiming to provide a means for version control and visualizing results from the EPA Stormwater Management Model (SWMM) Command line tools are also provided for running models individually and in parallel via Python’s multiprocessing module These tools are being developed specifically for the application of flood risk management
  • swmmio. core — swmmio 0. 8. 2 documentation - swmmio. readthedocs. io
    class Model (object): """ Class representing a complete SWMM model incorporating its INP and RPT files and data Initialize a swmmio Model object by pointing it to a directory containing a single INP (and optionally an RPT file with matching filename) or by pointing it directly to an inp file >>> # initialize a model object by passing the path to an INP file >>> from swmmio tests data import
  • swmmio — swmmio 0. 4. 3 documentation - swmmio. readthedocs. io
    swmmio¶ v0 4 4 (2020 06 02) SWMMIO is a set of python tools aiming to provide a means for version control and visualizing results from the EPA Stormwater Management Model (SWMM) Command line tools are also provided for running models individually and in parallel via Python’s multiprocessing module These tools are being developed





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