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jonghyunharrylee / pyPCGA

pyPCGA: fast and scalable inverse modeling approach
BSD 3-Clause "New" or "Revised" License
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add post-processing notebook for red river inset example #3

Closed mfarthin closed 6 years ago

mfarthin commented 6 years ago

We could also turn the plot_red_inset.py script into a jupyter notebook.

jonghyunharrylee commented 6 years ago

Also I have plot_along_channel_red_inset.py for crosssectional plots.. I will incorporate it later

mfarthin commented 6 years ago

Yeah, I will try to add those if I get some time this weekend.

Do you want me to add some of the input descriptions and such to the stwave notebook too?

jonghyunharrylee commented 6 years ago

Yes, you can add that. What kind script did you use to identify input parameters? Not sure you explained PCGA input parameters manually. I wanted to use stwave python wrapper (you sent me before right?) instead of the current adhoc input/output processing and stwave execution script, but hasn't had time for it.

mfarthin commented 6 years ago

Well, I just entered them manually. If there were a place where the descriptions were,  I could  probably write a script to populate the table  automatically.  Maybe adding the other wrapper would be good for me and Matthew Geheran to do.  It would give him a chance to get more familiar with pcga too. 

Sent from my Verizon, Samsung Galaxy smartphone -------- Original message --------From: Harry Lee notifications@github.com Date: 2/8/18 7:24 PM (GMT-06:00) To: jonghyunharrylee/pyPCGA pyPCGA@noreply.github.com Cc: mfarthin mwfarthing@gmail.com, Author author@noreply.github.com Subject: Re: [jonghyunharrylee/pyPCGA] add post-processing notebook for red river inset example (#3) Yes, you can add that. What kind script did you use to identify input parameters? Not sure you explained PCGA input parameters manually. I wanted to use stwave python wrapper (you sent me before right?) instead of the current adhoc input/output processing and stwave execution script, but hasn't had time for it.

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mfarthin commented 6 years ago

Pull request #6 provides a first cut for the post-processing notebook