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=" ", dtype=np.float) 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 youre needs. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
