[Numpy-discussion] fast robus implementation of float()
Tue Mar 22 21:38:04 CDT 2011
On 3/22/11 1:54 PM, Christian K. wrote:
> I wonder if someone has a good solution for a fast conversion of gridded
> ascii data to ndarray.
the fastest out of the box way is with np.fromfile(input_file, sep=" ",
It will only read multiple lines if the separater is whitespace, but
it's pretty fast if it does.
> It should manage ',' as decimal point (on demand)
I think that will work ig the locale is set right, though I don't know
how to do that "on demand"
> and special windows numbers as 1.#INF.
I can't remember if it does that -- give it a try. It does use
ascii-to-float function written for numpy to handle things like that.
> Of course, this is easy to wrap
> in a small function but I expect it to be slow when the input size is in
> the Mb range.
Never expect -- do a simple solution, then see if it's too slow for
Christopher Barker, Ph.D.
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