[SciPy-User] peer review of scientific software

Thøger Emil Rivera-Thorsen trive@astro.su...
Mon Jun 3 07:35:29 CDT 2013

Here's the Pandas docs on reshaping and pivoting:


Otherwise I recommend watching some of Wes McKinney's (the creators) 
presentations on YouTube, some of them are very in-depth and instructive 
(although some of them are quite lengthy).


On 03-06-2013 02:59, zetah wrote:
> Thøger Emil Rivera-Thorsen wrote:
>> You may of course be perfectly happy with your current work setup, but
>> it seems to me like you could do everything you describe without leaving
>> Python, by using Pandas. Pivot tables, slicing and dicing of
>> heterogenous data types, indexing by multi-layer labels, arbitrary
>> operations on pivoted, sliced and diced data frames, importing/exporting
>> csv, ascii, html and even LaTeX, quick plotting for data ionspection
>> purposes etc.
> I tried it shortly couple of month ago or so, and it seemed like impressive work in progress. I remember time series handling was very intuitive, but I didn't study the module for some reason... and I didn't know about pivoting dataframes
>> Of course, the interactive element isn't there. On the
>> other hand, it is very powerful, and you don't have to switch between
>> several different environments and tools.
> You are right there too, reliable interactive interface provides less mental effort, and surely using same environment has it's benefits.
> UI as extension is important, not many get impressed on command line. I hope to see IPython Notebook drive new ideas and attract more developers, more then I expect Excel on Surface to implement new interface exclusively based on touch and filters.
>> The frames are basically enhanced numpy arrays, so the data can be
>> passed directly to numpy or matplotlib. Also, if working in the IPython
>> qtconsole or notebook, simply typing the dataframe's name will show it
>> nicely rendered as an html table.
>> I have definitely enjoyed working with it.
> Sounds like fun. I'll experiment
> Thanks
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