>2009/3/5 Robert Cimrman :
>
> Great! It's a nice use case for return_inverse=True in unique1d().
>
> I have fixed the formatting, but cannot remove the previous comment.
>
> r.
;-)
Thank you for fixing the formatting,
--Kim
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Kim Hansen wrote:
>> 2009/3/5 Robert Cimrman :
>> I have added your implementation to
>> http://projects.scipy.org/numpy/ticket/1036 - is it ok with you to add
>> the function eventually into arraysetops.py, under the numpy (BSD) license?
>>
>> cheers,
>> r.
>>
> Yes, that would be fine with me. In
>2009/3/5 Robert Cimrman :
> I have added your implementation to
> http://projects.scipy.org/numpy/ticket/1036 - is it ok with you to add
> the function eventually into arraysetops.py, under the numpy (BSD) license?
>
> cheers,
> r.
>
Yes, that would be fine with me. In fact that would be an honor!
Kim Hansen wrote:
> Hi again
>
> It turned out not to be quite good enough as is, as it requires unique
> values for both arrays. Whereas this is often true for the second
> argument, it is never true for the first argument in my use case, and
> I struggled with that for some time until i realized
Hi again
It turned out not to be quite good enough as is, as it requires unique
values for both arrays. Whereas this is often true for the second
argument, it is never true for the first argument in my use case, and
I struggled with that for some time until i realized I could use
unique1d with the
On Wed, Feb 25, 2009 at 1:37 PM, Kim Hansen wrote:
>> I just looked under "set routines" in the help file. I really like the
>> speed of the windows help file.
>
> Is there a Numpy windows help file?
>
> Cool!
>
> But where is it? I can't find it in my numpy 1.2.1 installation?!?
>
> I like the P
> I just looked under "set routines" in the help file. I really like the
> speed of the windows help file.
Is there a Numpy windows help file?
Cool!
But where is it? I can't find it in my numpy 1.2.1 installation?!?
I like the Python 2.5 Windows help file too and I agree it is a fast
and effic
On Wed, Feb 25, 2009 at 9:02 AM, Kim Hansen wrote:
> Yes, this is exactly what I was after, only the function name did not
> ring a bell (I still cannot associate it with something meaningful for
> my use case). Thanks!
>
> -- Slaunger
>
I just looked under "set routines" in the help file. I real
Yes, this is exactly what I was after, only the function name did not
ring a bell (I still cannot associate it with something meaningful for
my use case). Thanks!
-- Slaunger
2009/2/25 :
> On Wed, Feb 25, 2009 at 7:28 AM, Kim Hansen wrote:
>> Hi Numpy discussions
>> Quite often I find myself wa
On Wed, Feb 25, 2009 at 7:28 AM, Kim Hansen wrote:
> Hi Numpy discussions
> Quite often I find myself wanting to generate a boolean mask for fancy
> slicing of some array, where the mask itself is generated by checking
> if its value has one of several relevant values (corresponding to
> states)
>
Hi Numpy discussions
Quite often I find myself wanting to generate a boolean mask for fancy
slicing of some array, where the mask itself is generated by checking
if its value has one of several relevant values (corresponding to
states)
So at the the element level thsi corresponds to checking if
ele
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