Nils Wagner wrote: >>> Is this a 64-bit problem ? >>> >> I don't know if it's a 64-bit problem per-se, so much as >> a disagreement between >> fortran and numpy. Numpy is making the size of the >> integer fields 8 bytes, while >> in Fortran, they're only 4 bytes. When constructing >> your dtype, use np.int32 or >> '<i4' for your type for the integer fields, and see if >> that fixes it. >> > > dt = > np.dtype([('isize','int32'),('irow','int32'),('icol','int32'),('value','float')]) > > >>>> a > array([(16, 0, 11, 1.2549267404367662e-321), > (1081065472, 16, 0, 7.9050503334599447e-323), > (12, 253, 0, 3.4485523805914514e-313), > (0, 16, 0, 5.3474293932967148e-312), > (0, 1079312384, 16, 3.3951932655444357e-313), (0, > 14, 251, 62.0), > (16, 0, 16, 3.1829936864479085e-313), > (250, 0, 1078525952, 7.9050503334599447e-323), > (16, 0, 16, 1.2302234581447039e-321), > (1078231040, 16, 0, 7.9050503334599447e-323), > (17, 248, 0, 3.4484552433329538e-313), > (0, 16, 0, 5.2413296037731544e-312), > (0, 1077805056, 16, 3.3951932655444357e-313), (0, > 19, 246, 27.0), > (16, 0, 16, 4.2439915819305446e-313), > (245, 0, 1077411840, 7.9050503334599447e-323)], > dtype=[('isize', '<i4'), ('irow', '<i4'), ('icol', > '<i4'), ('value', '<f8')]) >
Maybe on 64-bit machines, the number of bytes is 64-bits instead of 32 (see the fact that the first 12 bytes of the file are 16 0 11. Try: dt = np.dtype([('isize','int64'),('irow','int32'),('icol','int32'),('value','float')]) Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion