Keith Goodman wrote:
> I have a list x
>
>
>>> x
>>>
> [[1, None], [2, 3]]
>
> that I generate outside of numpy (with plain python). What is the best
> way to convert x into an array? This doesn't work
>
>
>>> asarray(x)
>>>
>
> array([[1, None],
> [2, 3]], dtype=object) <-- I'm hoping for something like
> dtype=float64
>
> Is there something better than None to represent missing values so
> that when I convert to numpy arrays (actually matrices) I'll be all
> set? (I could use -99, but that would be even more embarrassing than
> my python skills.)
>
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. ]])
-Travis
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