[Numpy-discussion] None as missing value
Sven Schreiber
svetosch at gmx.net
Mon Jul 3 04:53:43 CDT 2006
Travis Oliphant schrieb:
>
> You can use a masked array specifically, or use nan's for missing values
> and just tell Python you want a floating-point array (because it finds
> the None object it's guessing incorrectly you want an "object" array.
>
> asarray(x, dtype=float)
>
> array([[ 1. , nan],
> [ 2. , 3. ]])
>
Is there anything else besides None which is recognized/converted to
numpy.nan?
Put differently, where can I find documentation about basic nan
definition and handling in numpy? (I have the numpy book which covers
isnan etc., when you have the nans already set up.)
I was also a bit surprised at the following behavior:
>>> a = numpy.asarray([1,1])
>>> a
array([1, 1])
>>> a[0]=numpy.nan
>>> a
array([0, 1])
Is this a bug or intended?
Thanks,
Sven
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