Note sure if there's a better way, but you can do it with some custom load and save functions:

...

...

with open('f.txt', 'w') as f: ... f.write(str(x.dtype) + '\n') ... numpy.savetxt(f, x)

...

...

with open('f.txt') as f: ... dtype = f.readline().strip() ... y = numpy.loadtxt(f).astype(dtype)

I'm not sure how that'd work with structured arrays though. For the dict of parameters you'd have to write your own load/save piece of code too if you need a clean text file. -=- Olivier 2012/1/23 Emmanuel Mayssat

After having saved data, I need to know/remember the data dtype to restore it correctly. Is there a way to save the dtype with the data? (I guess the header parameter of savedata could help, but they are only available in v2.0+ )

I would like to save several related structured array and a dictionary of parameters into a TEXT file. Is there an easy way to do that? (maybe xml file, or maybe archive zip file of other files, or ..... )

Any recommendation is helpful.

Regards, -- Emmanuel _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion

I know you wrote that you want "TEXT" files, but never-the-less, I'd like to point to http://code.google.com/p/h5py/ . There are viewers for hdf5 and it is stable and widely used. Samuel On 24.01.2012, at 00:26, Emmanuel Mayssat wrote:

After having saved data, I need to know/remember the data dtype to restore it correctly. Is there a way to save the dtype with the data? (I guess the header parameter of savedata could help, but they are only available in v2.0+ )

I would like to save several related structured array and a dictionary of parameters into a TEXT file. Is there an easy way to do that? (maybe xml file, or maybe archive zip file of other files, or ..... )

Any recommendation is helpful.

Regards, -- Emmanuel _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion