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
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 array
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
On Tue, Apr 13, 2010 at 10:03 AM, Travis Oliphant
oliph...@enthought.com 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.
On Sat, Apr 10, 2010 at 17:59, Robert Kern robert.k...@gmail.com wrote:
On Sat, Apr 10, 2010 at 12:45, Pauli Virtanen p...@iki.fi wrote:
la, 2010-04-10 kello 12:23 -0500, Travis Oliphant kirjoitti:
[clip]
Here are my suggested additions to NumPy:
ufunc methods:
[clip]
* reducein
On Apr 11, 2010, at 2:56 PM, Anne Archibald wrote:
2010/4/10 Stéfan van der Walt ste...@sun.ac.za:
On 10 April 2010 19:45, Pauli Virtanen p...@iki.fi wrote:
Another addition to ufuncs that should be though about is
specifying the
Python-side interface to generalized ufuncs.
This is an
On Mon, Apr 12, 2010 at 17:26, Travis Oliphant oliph...@enthought.com wrote:
On Apr 11, 2010, at 2:56 PM, Anne Archibald wrote:
2010/4/10 Stéfan van der Walt ste...@sun.ac.za:
On 10 April 2010 19:45, Pauli Virtanen p...@iki.fi wrote:
Another addition to ufuncs that should be though about
On 12 April 2010 18:26, Travis Oliphant oliph...@enthought.com 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.
Robert Kern wrote:
On Mon, Apr 12, 2010 at 17:26, Travis Oliphant oliph...@enthought.com wrote:
On Apr 11, 2010, at 2:56 PM, Anne Archibald wrote:
2010/4/10 Stéfan van der Walt ste...@sun.ac.za:
On 10 April 2010 19:45, Pauli Virtanen p...@iki.fi wrote:
Another addition to ufuncs that
On Mon, Apr 12, 2010 at 17:54, Warren Weckesser
warren.weckes...@enthought.com 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
2010/4/10 Stéfan van der Walt ste...@sun.ac.za:
On 10 April 2010 19:45, Pauli Virtanen p...@iki.fi 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
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.
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
On Sat, Apr 10, 2010 at 1:23 PM, Travis Oliphant oliph...@enthought.com 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
On 10 April 2010 19:45, Pauli Virtanen p...@iki.fi 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
___
On Sat, Apr 10, 2010 at 12:45, Pauli Virtanen p...@iki.fi 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
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