On Tue, Feb 13, 2007 at 11:42:35AM -0800, Mark Janikas wrote:
> I am finding that directly packing numpy arrays into binary using the tostring
> and fromstring methods do not provide a speed improvement over writing the
> same
> arrays to ascii files. Obviously, the size of the resulting files is far
> smaller, but I was hoping to get an improvement in the speed of writing. I
> got
> that speed improvement using the struct module directly, or by using generic
> python arrays. Let me further describe my methodological issue as it may
> directly relate to any solution you might have.
Hi Mark
Can you post a benchmark code snippet to demonstrate your results?
Here, using 1.0.2.dev3545, I see:
In [26]: x = N.random.random(100)
In [27]: timeit f = file('/tmp/blah.dat','w'); f.write(str(x))
100 loops, best of 3: 1.77 ms per loop
In [28]: timeit f = file('/tmp/blah','w'); x.tofile(f)
10000 loops, best of 3: 100 µs per loop
(I see the same results for heterogeneous arrays)
Cheers
Stéfan
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