bob gailer wrote:
> Andy Cheesman wrote:
>
>> Dear nice people
>>
>> I'm trying to match a row (b) within a large numpy array (a). My most
>> successful attempt is below
>>
>> hit = equal(b, a)
>> total_hits = add.reduce(hit, 1)
>> max_hit = argmax(total_hits, 0)
>> answer = a[max_hit]
>>
>> whe
"Andy Cheesman" <[EMAIL PROTECTED]> wrote
> I'm trying to match a row (b) within a large numpy array (a). My
> most
> successful attempt is below
I'm nonumpy expert but...
> hit = equal(b, a)
> total_hits = add.reduce(hit, 1)
> max_hit = argmax(total_hits, 0)
> answer = a[max_hit]
Where are a
Andy Cheesman wrote:
> Dear nice people
>
> I'm trying to match a row (b) within a large numpy array (a). My most
> successful attempt is below
>
> hit = equal(b, a)
> total_hits = add.reduce(hit, 1)
> max_hit = argmax(total_hits, 0)
> answer = a[max_hit]
>
> where ...
> a = array([[ 0, 1, 2, 3]
Dear nice people
I'm trying to match a row (b) within a large numpy array (a). My most
successful attempt is below
hit = equal(b, a)
total_hits = add.reduce(hit, 1)
max_hit = argmax(total_hits, 0)
answer = a[max_hit]
where ...
a = array([[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
