PySWAT is a Command Line Interface(CLI) for Input/Output manipulation and analysis of the Soil and Water Assessment Tool(SWAT).

PySWAT Couples SWAT to the Power of Python Language to connect SWAT Input/Output Data to Powerful Python Libraries such as SQLite, Pandas, Numpy and MatplotLib

Features can be used to assess output data, generate graphs, perform custom queries and much more!

QuickStart

1. Get Anaconda at Anaconda's Website

*If you are not a first timer with python, use the way you know best! You need matplotlib, pandas, numpy and SQlite, which are covered by anaconda.

2. Open Spyder, Anaconda's IDE

#Connect your Project to pySWAT

3. Create a "myAnalysis.py" file on the same folder as pySWAT

myanalysis.py

import pySWAT 
model = pySWAT.connect(r"C:\Users\David\Desktop\Barigui_swales\Scenarios\Calibrated\TxtInOut")

#2.Get a Parameter report on HRUs and/or Subbasins and Watershed Parameters

model.changepar(parameter='CN2', method='relative', value='-0.15',sb = 'all', lulc = 'all', hru = None, log= r'log_changepar.txt')

#2.Change parameters in SWAT in the same way you do it on SWAT-CUP and ArcSWAT
model.changepar(parameter='CN2', method='relative', value='-0.15',sb = 'all' , lulc = 'all', hru = None, log= r'log_changepar.txt')

#3.Get a run of your model inside a Python Terminal using your Favorite SWAT Release:
model.run()

#4.Transfer your SWAT Results to a SQLITE Database
*Future modules will include other DB Insertion and Manipulation
result = model.getModelQuery(file="swat_db.sqlite", query=sql, pandas_output=False)

#5.Query the model in a database for certain data
my_query = """SELECT * 
            FROM hru 
            WHERE sub = 1
            """
result = model.getModelQuery(query=my_query,file="swat_db.sqlite")

4. Explore you data!