[SciPy-User] mary, a masked array
Sat Jun 26 12:10:27 CDT 2010
On Sat, Jun 26, 2010 at 9:42 AM, Pierre GM <email@example.com> wrote:
> On Jun 25, 2010, at 8:30 PM, Keith Goodman wrote:
>> An outer join of two data objects (labeled arrays, larrys, in my case)
>> can introduce missing values when one data object contains labels that
>> are not in the other data object. For float data I fill the missing
>> values with NaN. But I couldn't come up with a good fill value for int
>> or bool data. Coverting int and bool to float is one way to go, but
>> not ideal. The obvious solution is to use np.ma to mask the missing
>> values. But my masking needs are modest so I coded up a quick proof of
>> concept for a stripped down masked array class that is tailored to my
>> needs. Here's what I came up with: http://github.com/kwgoodman/mary
> You're re-implementing the original version of MaskedArray :)
> (in numpy <1.2, a masked array was the combination of a standard ndarray (your data) and either a boolean ndarray or a boolean (your mask)... That's quite OK, as long as you're not bothered by the fact that a larray/mary is not an array.
Ah, that's good to know. I'll take a look. Thank you.
>> Comments and suggestions are welcomed. I'm not familiar with np.ma so
>> I imagine there are many issues I haven't thought through.
> What happens if you calculate sqrt(-1) with a mary ?
Same as np.sqrt(-1) which gives NaN. But, as coded, the mask does not
get updated even if the marker is NaN. So far only assignment by
indexing updates the mask.
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