Re: [Numpy-discussion] array from list of lists

[A. M. A. <per...@gm...>]

On 12/11/06, Erin Sheldon <eri...@gm...> wrote:

> Actually, there is a problem with that approach.  It first converts
> the entire array to a single type, by default a floating type.  For
> very large integers this precision is insufficient.  For example, I
> have the following integer in my arrays:
>  94137100072000193L
> which ends up as
>   94137100072000192
> after going to a float and then back to an integer.

That's an unfortunate limitation of numpy; it views double-precision
floats as higher precision than 64-bit integers, but of course they
aren't. If you want to put all your data in a record array, you could
try transposing the lists using a list comprehension - numpy is not
always as much faster than pure python as it looks. You could then
convert that to a list of four arrays and do the assignment as
appropriate. Alternatively, you could convert your array into a
higher-precision floating-point format (if one is available on your
machine) before transposing and storing in a record array.

A. M. Archibald