[Numpy-discussion] Re: Efficient way to handle None->nan?

[Russell E. O. <ro...@ce...>]

In article 
<d38...@ma...>,
 Sasha <nd...@ma...> wrote:

> >>> from numpy.core.ma import masked values
> >>> from numpy import nan
> >>> masked values([1.0,None,2.0],None).filled(nan).astype(float)
> array([ 1.        ,         nan,  2.        ])

Neat! Any idea if that's likely to keep working in future versions? It 
doesn't work in numarray.ma.masked_values and in general it seems like a 
lot of numpy and numarray raise exception when they get a list that 
contains None.

-- Russell