On Thu, Dec 22, 2011 at 11:39 AM, Adrien wrote:
> Le 22/12/2011 17:17, josef.p...@gmail.com a écrit :
>> On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon wrote:
>>> Hello Nicola,
>>>
>>> I am not aware of a magical "one function" numpy solution (is there one
>>> numpy gurus?).
>>>
>>> I don't know
Le 22/12/2011 17:17, josef.p...@gmail.com a écrit :
> On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon wrote:
>> Hello Nicola,
>>
>> I am not aware of a magical "one function" numpy solution (is there one
>> numpy gurus?).
>>
>> I don't know if it's optimal, but here's how I usually do similar thing
On Thu, Dec 22, 2011 at 11:17 AM, wrote:
> On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon wrote:
>> Hello Nicola,
>>
>> I am not aware of a magical "one function" numpy solution (is there one
>> numpy gurus?).
>>
>> I don't know if it's optimal, but here's how I usually do similar things.
>>
>>
On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon wrote:
> Hello Nicola,
>
> I am not aware of a magical "one function" numpy solution (is there one
> numpy gurus?).
>
> I don't know if it's optimal, but here's how I usually do similar things.
>
> I wrote a simple function that assigns points (any nu
Hello Nicola,
I am not aware of a magical "one function" numpy solution (is there one
numpy gurus?).
I don't know if it's optimal, but here's how I usually do similar things.
I wrote a simple function that assigns points (any number of dimensions) to
a regular multi-dimensional grid. It is here:
Hello,
I have a cloud on sparse points that can be described by a Nx3 array (N
is the number of points). Each point is defined by an x, y and z coordinate:
x0 y0 z0
x1 y1 z1
...
...
...
xn yn zn
I need to bin the cloud to a regular 2D array according to a desir
