[Numpy-discussion] trying to speed up the following....

Robert Kern robert.kern@gmail....
Wed Mar 25 00:44:22 CDT 2009


On Wed, Mar 25, 2009 at 00:09, Brennan Williams
<brennan.williams@visualreservoir.com> wrote:
> Robert Kern wrote:
>> On Tue, Mar 24, 2009 at 18:29, Brennan Williams
>> <brennan.williams@visualreservoir.com> wrote:
>>
>>> I have an array (porvatt.yarray) of ni*nj*nk values.
>>> I want to create two further arrays.
>>>
>>> activeatt.yarray is of size ni*nj*nk and is a pointer array to an active
>>> cell number. If a cell is inactive then its activeatt.yarray value will be 0
>>>
>>> ijkatt.yarray is of size nactive, the number of active cells (which I
>>> already know). ijkatt.yarray holds the ijk cell number for each active cell.
>>>
>>>
>>> My code looks something like...
>>>
>>>           activeatt.yarray=zeros(ncells,dtype=int)
>>>           ijkatt.yarray=zeros(nactivecells,dtype=int)
>>>
>>>            iactive=-1
>>>            ni=currentgrid.ni
>>>            nj=currentgrid.nj
>>>            nk=currentgrid.nk
>>>            for ijk in range(0,ni*nj*nk):
>>>              if porvatt.yarray[ijk]>0:
>>>                iactive+=1
>>>                activeatt.yarray[ijk]=iactive
>>>                ijkatt.yarray[iactive]=ijk
>>>
>>> I may often have a million+ cells.
>>> So the code above is slow.
>>> How can I speed it up?
>>>
>>
>> mask = (porvatt.yarray.flat > 0)
>> ijkatt.yarray = np.nonzero(mask)
>>
>> # This is not what your code does, but what I think you want.
>> # Where porvatt.yarray is inactive, activeatt.yarray is -1.
>> # 0 might be an active cell.
>> activeatt.yarray = np.empty(ncells, dtype=int)
>> activeatt.yarray.fill(-1)
>> activeatt.yarray[mask] = ijkatt.yarray
>>
>>
>>
> Thanks. Concise & fast. This is what I've got so far (minor mods from
> the above)....
>
> from numpy import *
> ...
> mask=porvatt.yarray>0.0
> ijkatt.yarray=nonzero(mask)[0]
> activeindices=arange(0,ijkatt.yarray.size)
> activeatt.yarray = empty(ncells, dtype=int)
> activeatt.yarray.fill(-1)
> activeatt.yarray[mask] = activeindices
>
> I have...
>
> ijkatt.yarray=nonzero(mask)[0]
>
> because it looks like nonzero returns a tuple of arrays rather than an
> array.

Yes. Apologies.

> I used
>
> activeindices=arange(0,ijkatt.yarray.size)
>
> and
>
> activeatt.yarray[mask] = activeindices

Yes. You are correct.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
  -- Umberto Eco


More information about the Numpy-discussion mailing list