Various helper classes to read and manipulate Daisy input and output files.
Project description
pydaisy
pydaisy provides various tools to read, write and manipulate Daisy input- and outputfiles.
Usage
.dai-files:
from pydaisy.Daisy import * d = DaisyModel(r'C:\Program Files\Daisy 5.72\exercises\Exercise01.dai') print(d.starttime) dry_bulk_density = d.Input['defhorizon'][0]['dry_bulk_density'].getvalue() d.Input['defhorizon'][0]['dry_bulk_density'].setvalue(1.1*dry_bulk_density) d.save_as(r'C:\Program Files\Daisy 5.72\exercises\Exercise01_new.dai') DaisyModel.path_to_daisy_executable = r'C:\Program Files\Daisy 5.72\bin\Daisy.exe' d.run()
.dlf- and .dwf-files:
from datetime import datetime from pydaisy.Daisy import * dlf = DaisyDlf(r'C:\Program Files\Daisy 5.72\exercises\Taastrup6201.dwf') pandasdata = dlf.Data numpy_data = dlf.numpydata i=dlf.get_index(datetime(1962,4,14)) pandasdata['Precip'][i]=10 dlf.save(r'C:\Program Files\Daisy 5.72\exercises\Taastrup6201_saved.dwf')
Parallel runs:
if __name__ == '__main__': from pydaisy.Daisy import * DaisyModel.path_to_daisy_executable = r'C:\Program Files\Daisy 5.72\bin\Daisy.exe' daisyfiles =[r'c:\daisy\model1\setup.dai', r'c:\daisy\model2\setup.dai', r'c:\daisy\model3\setup.dai'] run_many(daisyfiles, NumberOfProcesses=3)
The code above will run the three daisy-simulations in parallel.
Project details
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