[SciPy-User] Proposal for a new data analysis toolbox
Wed Nov 24 15:43:33 CST 2010
On Wed, Nov 24, 2010 at 1:30 PM, Sebastian Haase <firstname.lastname@example.org> wrote:
> On Wed, Nov 24, 2010 at 8:57 PM, Keith Goodman <email@example.com> wrote:
>> On Wed, Nov 24, 2010 at 11:32 AM, Sebastian Haase <firstname.lastname@example.org> wrote:
>>> On Wed, Nov 24, 2010 at 8:05 PM, Keith Goodman <email@example.com> wrote:
>>>> Brief Sphinx doc of whatever it's called can be found here:
>>> 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)?
> Sorry, I don't have Cygwin set up yet -- I would need binaries. I have
> a win32, a win64, lin32 and lin64 platform, I could use to test...
> (iow, no mac)
I'm sure we can get someone to build the win binarys when the first
first (preview) release is ready. But for a quick timing test, how
Would a minmax() be useful? Shouldn't add much time to a regular min or max.
A friend mentioned that he would like a function that returned both
the max and its location. That's a possibility too.
But first the basics...
More information about the SciPy-User