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 da
On 24 Jan 2012, at 01:45, Olivier Delalleau wrote:
> 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:
> ...
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(d
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 dictiona
