[SciPy-User] Proposal for a new data analysis toolbox
Mon Nov 22 10:06:56 CST 2010
On Mon, Nov 22, 2010 at 7:52 AM, <firstname.lastname@example.org> wrote:
> On Mon, Nov 22, 2010 at 10:35 AM, Keith Goodman <email@example.com> wrote:
>> The function signatures for these are easy: we copy numpy, scipy. (I
>> am tempted to change nanstd from scipy's bias=False to ddof=0.)
> scipy.stats.nanstd is supposed to switch to ddof, so don't copy
> inconsistent signatures that are supposed to be depreciated.
Great, I'll use ddof then.
> I would like statistics (scipy.stats and statsmodels) to stick with
> default axis=0.
I put my dates on axis=-1. It is much faster:
>> a = np.random.rand(1000,1000)
>> timeit a.sum(0)
100 loops, best of 3: 9.01 ms per loop
>> timeit a.sum(1)
1000 loops, best of 3: 1.17 ms per loop
>> timeit a.std(0)
10 loops, best of 3: 27.2 ms per loop
>> timeit a.std(1)
100 loops, best of 3: 11.5 ms per loop
But I'd like the default axis to be what a numpy user would expect it to be.
> I would be in favor of axis=None for nan extended versions of numpy
> functions and axis=0 for stats functions as defaults, but since it
> will be a standalone package with wider usage, I will be able to keep
> track of axis=-1.
What default axis would a numpy/scipy user expect for mov_sum? group_mean?
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