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.)
If there is nothing better than None, what's a fast way to take care
of the None's if x is faily large?
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