not even produce an unbiased standard deviation estimate. I produces an
unbiased variance estimate but the sqrt of this variance estimate is a
biased standard deviation estimate,
http://en.wikipedia.org/wiki/Unbiased_estimation_of_standard_deviation.
Bago
_
>
>
> I'm now convinced of the usefulness of @ and @@ too but I also think that
> you must think of other uses than only for numpy. In other words, numpy is
> a the good argument for this new operators, but this can also open new
> perspectives for other uses.
>
>
Speaking of `@@`, would the relati
This behavior seems to depend on the order in which elements of the arrays
are processes. That seems like a dangerous thing to rely on, the main
reason I can thing of that someone would want to change the loop order is
to implement parallel ufuncs.
Bago
On Fri, Oct 25, 2013 at 12:32 PM, Jaime
You could also try using bincount, (np.bincount(x, y.real) +
1j*np.bincount(x, y.imag)) / np.bincount(x)
Bago
On Mon, May 20, 2013 at 9:03 AM, Robert Kern wrote:
> On Mon, May 20, 2013 at 5:00 PM, Neal Becker wrote:
> > I have a system that transmits signals for an alphabet of
This might surprise a user who expects to be searching a descending array
Bago
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