[Numpy-discussion] Efficient way to handle None->nan?
oliphant at ee.byu.edu
Fri Jan 20 15:04:02 CST 2006
Russell E. Owen wrote:
>We're getting numeric data from a (MySQL) database. We'd like to use
>numarray or NumPy on the resulting data, but some values may be None. Is
>there a fast, efficient way to replace None with NaN? I'd hate to use a
>list comprehension on each data tuple before turning it into an array,
>but I haven't thought of anything else.
Current numpy SVN allows
array([ 1. , nan, 2. ])
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