On Mon, 02 Feb 2009 10:17:13 -0600
Ryan May <rma...@gmail.com> wrote:
> Nils Wagner wrote:
>> On Mon, 2 Feb 2009 13:39:32 +0100
>> Matthieu Brucher <matthieu.bruc...@gmail.com> wrote:
>>> Hi,
>>>
>>> There was a discussion about this last week. You can
>>>find it int he
>>> archives ;)
>>>
>>> Matthieu
>>
>> Hi Matthieu,
>>
>> Sorry but I missed that.
>> Anyway I have some trouble with my short example.
>>
>> g77 -c binary_fortran.f
>> g77 -o io binary_fortran.o
>> ./io
>>
>> 11 254 254.
>> 12 253 126.
>> 13 252 84.
>> 14 251 62.
>> 15 250 50.
>> 16 249 41.
>> 17 248 35.
>> 18 247 30.
>> 19 246 27.
>> 20 245 24.
>>
>> python -i read_fortran.py
>>
>>>>> a
>> array([(16, 1090921693195, 254.0), (16, 16,
>>5.3686493512014268e-312),
>> (4638566878703255552, 16,
>>7.9050503334599447e-323),
>> (1082331758605, 4635611391447793664,
>>7.9050503334599447e-323),
>> (16, 1078036791310, 62.0), (16, 16,
>>5.3049894774872906e-312),
>> (4632233691727265792, 16,
>>7.9050503334599447e-323),
>> (1069446856720, 4630967054332067840,
>>7.9050503334599447e-323),
>> (16, 1065151889425, 35.0), (16, 16,
>>5.2413296037731544e-312),
>> (4629137466983448576, 16,
>>7.9050503334599447e-323),
>> (1056561954835, 4628293042053316608,
>>7.9050503334599447e-323),
>> (16, 1052266987540, 24.0)],
>> dtype=[('irow', '<i8'), ('icol', '<i8'), ('value',
>>'<f8')])
>>
>> How can I fix the problem ?
>>
>
> Every write statement in fortran first writes out the
>number of bytes that will
> follow, *then* the actual data. So, for instance, the
>first write to file in
> your program will write the bytes corresponding to these
>values:
>
> 16 X(1) Y(1) Z(1)
>
> The 16 comes from the size of 2 ints and 1 double.
> Since you're always writing
> out the 3 values, and they're always the same size, try
>adding another integer
> column as the first field in your array.
>
> Ryan
>
> --
> Ryan May
> Graduate Research Assistant
> School of Meteorology
> University of Oklahoma
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> Numpy-discussion mailing list
> Numpy-discussion@scipy.org
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Hi Ryan,
I have modified the python script.
import numpy as np
fname = open("bin.dat",'rb')
dt =
np.dtype([('isize',int),('irow',int),('icol',int),('value',float)])
a = np.fromfile(fname,dtype=dt)
>>> a
array([(16, 1090921693195, 4643140847074803712,
7.9050503334599447e-323),
(16, 1086626725900, 4638566878703255552,
7.9050503334599447e-323),
(16, 1082331758605, 4635611391447793664,
7.9050503334599447e-323),
(16, 1078036791310, 4633922541587529728,
7.9050503334599447e-323),
(16, 1073741824015, 4632233691727265792,
7.9050503334599447e-323),
(16, 1069446856720, 4630967054332067840,
7.9050503334599447e-323),
(16, 1065151889425, 4630122629401935872,
7.9050503334599447e-323),
(16, 1060856922130, 4629137466983448576,
7.9050503334599447e-323),
(16, 1056561954835, 4628293042053316608,
7.9050503334599447e-323),
(16, 1052266987540, 4627448617123184640,
7.9050503334599447e-323)],
dtype=[('isize', '<i8'), ('irow', '<i8'), ('icol',
'<i8'), ('value', '<f8')])
Is this a 64-bit problem ?
Nils
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