replace_inp_section method

[BuczynskiRafal]

Hi
I am trying to explore the possibilities of smmmio.
The package is great.
I have a question for overwriting data in the .inp file.
Is it possible to call method below

swmmio.utils.modify_model.replace_inp_section() 

using the data frame obtained in this way?

model = swmmio.Model('example_copy.inp')
df = model.subcatchments.dataframe

At this moment I'm able to call replace_inp_section with dataframe extracted this way.

df = swmmio.utils.dataframes.dataframe_from_inp(model.inp.path, '[SUBCATCHMENTS]')

I want to overwrite columns as N-Imperv, N-Perv, S-Imperv, S-Perv, PctZero.
It is possible with swmmio?

[aerispaha]

Hi @BuczynskiRafal,

One way you can accomplish overwriting / editing N-Imperv, N-Perv etc. columns is by using the swmmio.Model.inp API. Note that the inp API provides lower-level access to sections of the INP file with getters / setters, whereas the Model.subcatchments aggregates multiple subcacthment-related sections of the INP file into one dataframe.

The columns you'd like to overwrite exist in the SUBAREAS section of the inp file. So, as an example, you could modify parameters in your model by doing something like this:

model = swmmio.Model('example_copy.inp')

# extract the subareas section of the INP file
subareas = model.inp.subareas 

# apply whatever modifications you need to the subareas dataframe
subareas['N-Imperv'] = 0.03 

# set the subareas section of the inp object  
model.inp.subareas = subareas

# save your updated inp file to disk
model.inp.save('example_model_update.inp')

Hopefully that helps! Let me know how you make out.

[BuczynskiRafal]

Thank you for your response.
Everything is working as I wanted. The swmmio package is amazing.
Thank you for your work.