On 08/10/17 22:50, Thomas Jollans wrote:
> On 08/10/17 09:12, Nissim Derdiger wrote:
>> Hi again,
>> I realize that my question was not clear enough, so I've refined it into one
>> runnable function (attached below)
>> My question is basically - is there a way to
On 08/10/17 09:12, Nissim Derdiger wrote:
> Hi again,
> I realize that my question was not clear enough, so I've refined it into one
> runnable function (attached below)
> My question is basically - is there a way to perform the same operation, but
> faster using NumPy (or even just by using Pyth
get the integers.
>
> tx.
> R.
>
>
> --
> Renato Fabbri
> GNU/Linux User #479299
> labmacambira.sourceforge.net <http://labmacambira.sourceforge.net>
>
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py is false, if y is a memmap and in that case return a full memmap
> object
> instead of slicing it?
>
> Best wishes
> Isaia
>
> P.S. A longer account of the issue may be found on my university blog
> http://www.im.ufrj.br/nisoli/blog/?p=131
>
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> Isaia Nisoli
>
>
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Thomas Jollans
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note that another part of the discussion previously suggested that we
> have a dtype that wraps a native python string object -- then you'd
> get all for free. This is essentially an object array with strings in
> it, which you can do now.
>
> -CHB
>
>
> --
>
>
On 04/06/17 20:04, Mikhail V wrote:
> Initialize array from a string currently looks like:
>
> s= "012 abc"
> A= fromstring(s,"u1")
> print A ->
> [48 49 50 32 97 98 99]
>
> Perfect.
> Now when writing values it will not work
> as IMO it should, namley consider this example:
>
> B= zeros(7,"u1")
>
