Hi, I work with text files which contain several arrays separated by a few lines of other information, for example:
POINTS 4 float -5.000000e-01 -5.000000e-01 0.000000e+00 5.000000e-01 -5.000000e-01 0.000000e+00 5.000000e-01 5.000000e-01 0.000000e+00 -5.000000e-01 5.000000e-01 0.000000e+00 CELLS 2 8 3 0 1 2 3 2 3 0 (yes, that's the legacy VTK format, but take it just as an example) I have used custom Python code with loops to read similar files, so the speed was not too good. Now I wonder if it would be possible to use the numpy.loadtxt() function for the "array-like" parts. It supports passing an open file object in, which is good, but it wants to read the entire file, which does not work in this case. It seems to me, that an additional parameter to loadtxt(), say "nrows" or "numrows", would do the job, so that the function does not try reading the entire file. Another possibility would be to raise an exception as it is now, but also to return the data succesfully read so far. What do you think? Is this worth a ticket? r. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
