Peter Schmidtke wrote: > Have you tried the numpy.fromfile function? good point -- fromfile() can be much faster for the simple cases it can handle.
> not all lines ave the same lenght (not the > same number of values). > > What would be the best way to load this? That depends on what the data mean. Is it a 2-d array with missing values? If so, how do you know which are missing? Are there the same number of tabs in each row? If do than loadtxt should be able to handle it. You may be best off looping through the file: for line in file: a = numpy.fromstring(line, sep='\t', dtype=np.float) and do what makes sense with each line. -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 [email protected] _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
