[SciPy-user] More elegant solution for binning lookup?
Tom Bridgman
cygnusx1@mac....
Sun Feb 18 16:22:08 CST 2007
I've browsed the numpy and scipy lists and available docs and haven't
found an answer to this.
SciPy v0.5.1, numpy v1.0rc3.
I've got an array of samples through a region and a value 'R' where I
want to find the proper bin in 'radius'. 'R' will generally not
match any value in 'radius'.
Here's the cleanest solution I found:
>>> import scipy
>>> import numpy
>>> radius = scipy.arange(0.0, 1.5, 1.5/1000)
>>> r=0.7274
>>> bin = numpy.nonzero(numpy.where(radius > r, 0, 1))[0][-1]
>>> bin
484
>>> radius[484:486]
array([ 0.726 , 0.7275])
But even this looks rather ugly and not very intuitive as to what I'm
doing. Is there a function built-in to scipy or numpy for this?
Thanks,
Tom
--
W.T. Bridgman, Ph.D.
Physics & Astronomy
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