Chris Colbert wrote:
> what machine spec are you using?
Dual 2Ghz PPC OS-X 10.4. Python2.5, numpy 1.3.0rc1 (hmm -- I should
upgrade that!)
> Using your last function line2array5 WITH float conversion, i get the
> following timing on a mobile quad core extreme:
>
> In [24]: a = np.arange(100).a
what machine spec are you using?
Using your last function line2array5 WITH float conversion, i get the
following timing on a mobile quad core extreme:
In [24]: a = np.arange(100).astype(str).tostring()
In [25]: a
Out[25]:
'012345678911223344556677
Hi all,
When I first saws this problem: reading in a fixed-width text file as
numbers, it struck me that you really should be able to do it, and do it
well, with numpy by slicing character arrays.
I got carried away, and worked out a number of ways to do it. Lastly was
a method inspired by a
