Comments (3)
These scripts now use seaborn as of: 89af934
I don't know enough about pandas to figure out how to fix the labeling of the plots, but we would hopefully also allow these plotting scripts to be flexible enough to use either 96- or 384-well plates.
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That should be read as 'seaborn so colors are more informative', for example as a consistent rainbow starting with A as red, so it is easier to see what is going on at a glance.
Also, I think xml2png.py should already work for 96 or 384 well plates, at least in the latest iteration I was using. I think we just plotting a pandas dataframe assuming a 384 well plate, and if the rest were 0's if it was a 96 well plate, and it still worked fine. This is pretty slap-dash, though.
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Fixing colors and labels pull request fixes this.
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Related Issues (20)
- Could we just set a slightly more restrictive prior on F_PL? HOT 1
- Missing dependencies HOT 4
- Cut a new assaytools release HOT 2
- Fix win install HOT 1
- Make better error message when using wrong path in quickmodel inputs file.
- Travis build failing - libgfortran related? HOT 5
- Deprecate assaytools-dev package HOT 3
- Travis is still broken HOT 1
- Clean up old branches
- Make Docs clearer for General Binding Model
- Integrate scripts/ into installed codebase and use entry-points instead
- Analysis for the single-well titration experiment HOT 2
- getting error in assaytools parser.py when running quickmodel HOT 9
- xml2png python 3.6 travis tests are failing HOT 1
- security alert for pyyaml dependency HOT 2
- Adding Quickmodel script the option to use informed F_PL priors HOT 1
- New release? HOT 1
- Add new `GeneralBindingModel` API that accepts/returns concentrations instead of log concentrations
- Getting print out of 'Skipping analysis of rows: []' for each protein from parser.py when running quickmodel HOT 3
- how to omit a well from analysis?
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