I would really like to see this become a core part of numpy...
For groupby-like summing over arrays, I use a modified version of
numpy.bincount() which has optional arguments that greatly enhance its
flexibility:
bincount(bin, weights=, max_bins=. out=)
where:
* bins- numpy array o
On Sat, Apr 10, 2010 at 17:59, Robert Kern wrote:
> On Sat, Apr 10, 2010 at 12:45, Pauli Virtanen wrote:
>> la, 2010-04-10 kello 12:23 -0500, Travis Oliphant kirjoitti:
>> [clip]
>>> Here are my suggested additions to NumPy:
>>> ufunc methods:
>> [clip]
>>> * reducein (array, indices, axis=
On Tue, Apr 13, 2010 at 10:03 AM, Travis Oliphant
wrote:
>
> On Apr 12, 2010, at 5:31 PM, Robert Kern wrote:
>
> We should collect all of these proposals into a NEP. To clarify what I
>
> mean by "group-by" behavior.
>
> Suppose I have an array of floats and an array of integers. Each eleme
On Apr 12, 2010, at 5:54 PM, Warren Weckesser wrote:
A bit more generalization of `by` gives behavior like matlab's
accumarray
(http://www.mathworks.com/access/helpdesk/help/techdoc/ref/accumarray.html
),
which I partly cloned here:
[This would be a link to the scipy cookbook, but scipy.org
On Apr 12, 2010, at 5:31 PM, Robert Kern wrote:
We should collect all of these proposals into a NEP. To
clarify what I
mean by "group-by" behavior.
Suppose I have an array of floats and an array of integers. Each
element
in the array of integers represents a region in the float arra
On Mon, Apr 12, 2010 at 17:54, Warren Weckesser
wrote:
> A bit more generalization of `by` gives behavior like matlab's accumarray
> (http://www.mathworks.com/access/helpdesk/help/techdoc/ref/accumarray.html),
> which I partly cloned here:
> [This would be a link to the scipy cookbook, but scipy.
Robert Kern wrote:
> On Mon, Apr 12, 2010 at 17:26, Travis Oliphant wrote:
>
>> On Apr 11, 2010, at 2:56 PM, Anne Archibald wrote:
>>
>> 2010/4/10 Stéfan van der Walt :
>>
>> On 10 April 2010 19:45, Pauli Virtanen wrote:
>>
>> Another addition to ufuncs that should be though about is specifyin
On 12 April 2010 18:26, Travis Oliphant wrote:
> We should collect all of these proposals into a NEP.
Or several NEPs, since I think they are quasi-orthogonal.
> To clarify what I
> mean by "group-by" behavior.
> Suppose I have an array of floats and an array of integers. Each element
> in th
On Mon, Apr 12, 2010 at 17:26, Travis Oliphant wrote:
>
> On Apr 11, 2010, at 2:56 PM, Anne Archibald wrote:
>
> 2010/4/10 Stéfan van der Walt :
>
> On 10 April 2010 19:45, Pauli Virtanen wrote:
>
> Another addition to ufuncs that should be though about is specifying the
>
> Python-side interface
On Apr 11, 2010, at 2:56 PM, Anne Archibald wrote:
2010/4/10 Stéfan van der Walt :
On 10 April 2010 19:45, Pauli Virtanen wrote:
Another addition to ufuncs that should be though about is
specifying the
Python-side interface to generalized ufuncs.
This is an interesting idea; what do you
2010/4/10 Stéfan van der Walt :
> On 10 April 2010 19:45, Pauli Virtanen wrote:
>> Another addition to ufuncs that should be though about is specifying the
>> Python-side interface to generalized ufuncs.
>
> This is an interesting idea; what do you have in mind?
I can see two different kinds of a
On Sat, Apr 10, 2010 at 12:45, Pauli Virtanen wrote:
> la, 2010-04-10 kello 12:23 -0500, Travis Oliphant kirjoitti:
> [clip]
>> Here are my suggested additions to NumPy:
>> ufunc methods:
> [clip]
>> * reducein (array, indices, axis=0)
>> similar to reduce-at, but the indices
On 10 April 2010 19:45, Pauli Virtanen wrote:
> Another addition to ufuncs that should be though about is specifying the
> Python-side interface to generalized ufuncs.
This is an interesting idea; what do you have in mind?
Regards
Stéfan
___
NumPy-Disc
On Sat, Apr 10, 2010 at 1:23 PM, Travis Oliphant wrote:
>
> Hi,
>
> I've been mulling over a couple of ideas for new ufunc methods plus a
> couple of numpy functions that I think will help implement group-by
> operations with NumPy arrays.
>
> I wanted to discuss them on this list before putting f
la, 2010-04-10 kello 12:23 -0500, Travis Oliphant kirjoitti:
[clip]
> Here are my suggested additions to NumPy:
> ufunc methods:
[clip]
> * reducein (array, indices, axis=0)
>similar to reduce-at, but the indices provide both the
> start and end points (rather than being fen
Hi,
I've been mulling over a couple of ideas for new ufunc methods plus a
couple of numpy functions that I think will help implement group-by
operations with NumPy arrays.
I wanted to discuss them on this list before putting forward an actual
proposal or patch to get input from others.
Th
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