On Saturday, November 17, 2012, Charles R Harris wrote:
>
>
> On Sat, Nov 17, 2012 at 1:00 PM, Olivier Delalleau
>
> > wrote:
>
>> 2012/11/17 Gökhan Sever > 'cvml', 'gokhanse...@gmail.com');>>
>>
>>>
>>>
>>> On Sat, Nov 17, 2012 at 9:47 AM, Nathaniel Smith
>>>
>>> > wrote:
>>>
On Fri, Nov
On Sat, Nov 17, 2012 at 1:00 PM, Olivier Delalleau wrote:
> 2012/11/17 Gökhan Sever
>
>>
>>
>> On Sat, Nov 17, 2012 at 9:47 AM, Nathaniel Smith wrote:
>>
>>> On Fri, Nov 16, 2012 at 9:53 PM, Gökhan Sever
>>> wrote:
>>> > Thanks for the explanations.
>>> >
>>> > For either case, I was expecting
2012/11/17 Gökhan Sever
>
>
> On Sat, Nov 17, 2012 at 9:47 AM, Nathaniel Smith wrote:
>
>> On Fri, Nov 16, 2012 at 9:53 PM, Gökhan Sever
>> wrote:
>> > Thanks for the explanations.
>> >
>> > For either case, I was expecting to get float32 as a resulting data
>> type.
>> > Since, float32 is larg
On Sat, Nov 17, 2012 at 9:47 AM, Nathaniel Smith wrote:
> On Fri, Nov 16, 2012 at 9:53 PM, Gökhan Sever
> wrote:
> > Thanks for the explanations.
> >
> > For either case, I was expecting to get float32 as a resulting data type.
> > Since, float32 is large enough to contain the result. I am wonde
On Fri, Nov 16, 2012 at 9:53 PM, Gökhan Sever wrote:
> Thanks for the explanations.
>
> For either case, I was expecting to get float32 as a resulting data type.
> Since, float32 is large enough to contain the result. I am wondering if
> changing casting rule this way, requires a lot of modificati
Is there a function that operates like 'take' but does assignment?
Specifically that takes indices and an axis? As far as I can tell no
such function exists. Is there any particular reason?
One can fake such a thing by doing (code untested):
s = len(a.shape)*[np.s_[:]]
s[axis] = np.s_[1::2]
a
Yes, both the "base" and "target" are ascending. Thanks!
Chao
On Sat, Nov 17, 2012 at 2:40 PM, Benjamin Root wrote:
>
>
> On Saturday, November 17, 2012, Chao YUE wrote:
>
>> Dear all,
>>
>> I need to make a linear contrast of the 2D numpy array "data" from an
>> interval to another, the appro
On Saturday, November 17, 2012, Chao YUE wrote:
> Dear all,
>
> I need to make a linear contrast of the 2D numpy array "data" from an
> interval to another, the approach is:
> I have another two list: "base" & "target", then I check for each ndarray
> element "data[i,j]",
> if base[m] =< data[i,
Dear all,
I need to make a linear contrast of the 2D numpy array "data" from an
interval to another, the approach is:
I have another two list: "base" & "target", then I check for each ndarray
element "data[i,j]",
if base[m] =< data[i,j] <= base[m+1], then it will be linearly converted
to be in t
