[SciPy-User] Proposal for a new data analysis toolbox

[Keith Goodman]

On Wed, Nov 24, 2010 at 11:32 AM, Sebastian Haase <seb.haase at gmail.com> wrote:
> On Wed, Nov 24, 2010 at 8:05 PM, Keith Goodman <kwgoodman at gmail.com> wrote:
>> Brief Sphinx doc of whatever it's called can be found here:
>> http://berkeleyanalytics.com/dsna
>
> I would like to throw in one of my favorite functions that I
> implemented years ago using (templated) SWIG:
>
> mmms()  calculates min,max,mean and standard deviation in one run.
> While - by using SWIG function templates - it can handle multiple
> dtypes efficiently (without data copy) I never even attempted to
> handle striding or axes...
> Similiarly mmm()  ( that is minmaxmean() ) might be also good to have,
> if one really needs to not waste the (little?!) extra time of
> compiling the sum of the squares (for the std.dev).
>
> I you added this kind of function to the new toolbox, I would be happy
> to benchmark it against my venerable (simpler) SWIG version...

What are your timings compared to say mean_1d_float64_axis0(arr)?