[Numpy-discussion] Using matplotlib's prctile on masked arrays
Gökhan Sever
gokhansever@gmail....
Wed Oct 28 08:52:32 CDT 2009
On Tue, Oct 27, 2009 at 12:23 PM, Pierre GM <pgmdevlist@gmail.com> wrote:
>
> On Oct 27, 2009, at 7:56 AM, Gökhan Sever wrote:
> >
> >
> > Unfortunately, matplotlib.mlab's prctile cannot handle this division:
>
> Actually, the division's OK, it's mlab.prctile which is borked. It
> uses the length of the input array instead of its count to compute the
> nb of valid data. The easiest workaround in your case is probably to
> use:
> >>> prctile((am/bm).compressed(), p=[5,25,50,75,95])
> HIH
> P.
>
Great. Exact solution. I should have asked this last week :)
One simple method solves all the riddle. I had manually masked the MVCs
using NaN's.
My guess is using compressed() masked arrays could be used with any of
regularly defined numpy and scipy functions, right?
Thanks for the tip.
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--
Gökhan
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