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Converting R -> Python #30
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I can pitch in some time. What are the thoughts on divvying up the work? Chad Upjohn
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Ideally - I would like to get each chapter started, and then go from there - what I am running into right now is some of the charts they are using in the book are not yet supported with yhat's gglot: for example geom_jitter isnt fully functional yet and some of the histograms with time on the x-axis are not working - so if we really wanted to get ambitious we could submit pull requests there also. I plan on doing this but if you are not interested that is cool also. If you dont want to deal with ggplot we could also create the plots in matplotlib also. |
I'd definitely want to use ggplot. The R version is great. I'd say that you should submit a request for the geom_jitter. That's needed. I assume that you have started on Chapter 1. If so, I can start on Chapter 2. |
why not use matplotlib? |
Hello,
Now that ggplot for Python has been around for a while (a few months anyways) - I am personally, for fun, converting the R examples into Python (via IPython Notebooks) using the expected libs: numpy, scipy, pandas, ggplot, statsmodels, etc. (maybe a few others).
My questions are the following:
Depending on the answer to (2), I will try to document my code accordingly. I'm currently done with Chapters 1+2 and 1/2 of 3. I suspect the rest of the code might take me another two weeks if I am doing it by myself.
Thanks,
Joe Misiti
@josephmisiti
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