On Mon, May 18, 2009 at 12:34 AM, Harald Schilly
<harald.schi...@gmail.com> wrote:
>
>
>
> On May 18, 12:29 am, mhampton <hampto...@gmail.com> wrote:
>> So I have started a file basic_stats.py in the stats directory, with a
>> ridiculously simple start:...
>
> I've thought about this about a year ago but had no time to do
> anything beyond thinking. I very strongly suggest to introduce a class
> for storing data ("DataStore")!
> look here how R is doing things:
> http://cran.r-project.org/doc/manuals/R-data.html
>
> i.e. most of the time data comes in columns, and each column has a
> *name* and a special *type* (double, category [like an enum], ...).
> compare this to a matrix or vector in sage, where you also have to
> specify the type of entries. here we need to specify the type of a
> column. then, using data['column'] we should be able to extract a
> column, a set of clumns and much more (selecting subsets, merging data
> where columns have the same entry, ...).
> I think that would be very useful!
>
> step two is to write methods for input and output: reading from/to
> csv, to/from R data.frame's, xls, ods, google docs...
> additionally, dealing with missing values, ... maybe even some ajax
> web-form for the notebook, where you can enter data with
> validation, ...
>
This sounds very very sensible to me.
-- William
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