[SciPy-user] NaN's in numpy (and Scipy)

[Alan Jackson]

I've been working with numnpy (Numeric actually, we're a little behind), in a
framework that requires that we allow for NaN's to appear at random in our
arrays. We have handled that with masked arrays, but I am finding those
somewhat awkward to work with, and given that the NaN's will normally be
rare, it seems a shame to double the storage costs that way. 

Any suggestions for a better overall strategy for dealing with NaN's?

-- 
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| Alan K. Jackson            | To see a World in a Grain of Sand      |
| alan at ajackson.org          | And a Heaven in a Wild Flower,         |
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