On 10/25/06, Pierre GM <[EMAIL PROTECTED]> wrote:
> On Tuesday 24 October 2006 02:50, Michael Sorich wrote:
> > I am currently running numpy rc2 (I haven't tried your
> > reimplementation yet as I am still using python 2.3). I am wondering
> > whether the n
I am currently running numpy rc2 (I haven't tried your
reimplementation yet as I am still using python 2.3). I am wondering
whether the new maskedarray is able to handle construction of arrays
from masked scalar values (not sure if this is the correct term). I
ran across a situation recently when I
On 10/18/06, Daniel Arbuckle <[EMAIL PROTECTED]> wrote:
> Why does a[b1, b2] not mean the same thing as a[b1][:, b2], when "a"
> is an array and "b1" and "b2" are appropriately sized arrays of
> booleans?
>From my previous experience with R I am used to a[b1, b2] being
equivalent to a[b1][:, b2],
On 10/17/06, Pierre GM <[EMAIL PROTECTED]> wrote:
> On Monday 16 October 2006 22:08, Michael Sorich wrote:
> > Does this new MA class allow masking of rearray like arrays?
>
> Excellent question! Which is to say, I have no idea... I don't use
> recordarray, so I di
Does this new MA class allow masking of rearray like arrays? The numpy
(1.0b5) version does not seem to. e.g.
from numpy import *
desc = [('name','S30'),('age',int8),('weight',float32)]
a = array([('Bill',31,260.0),('Fred', 15, 145.0)], dtype=desc)
print a[0]
print a['name']
a2 = ma.array([('Bil
It seems that ma.array does not accept a sequence which contains a
masked scalar array (not sure if this is the correct term). Is this
deliberate?
#numpy 1.0b5, python 2.3.x, winXP
import numpy as N
print N.ma.array([1,2,3, N.ma.array(1, mask=True)])
Traceback (most recent call last):
File "C:\
On 7/12/06, JJ <[EMAIL PROTECTED]> wrote:
> 2) It would be very convienient to have some simple way to delete selected
> columns of a matrix. For example, in matlab the command is X[:,[3,5,7]]=[] to
> delete the three selected columns. It would be nice if such a command would
> also work with se
On 6/23/06, Paul Dubois <[EMAIL PROTECTED]> wrote:
> In the original MA in Numeric, I decided that to constantly check for masks
> that didn't actually mask anything was not a good idea. It punishes normal
> use with a very expensive check that is rarely going to be true.
>
> If you are in a settin
On 6/23/06, Pierre GM <[EMAIL PROTECTED]> wrote:
> On Wednesday 21 June 2006 22:01, Michael Sorich wrote:
> > Nevertheless, the differences between a masked array with a boolean
> > mask and a mask of booleans have caused me trouble before. Especially
> > when there are
(ma1)
print ma1.mask
--
0.9.9.2538
[[False False False]
[False False False]]
False
On 6/21/06, Pierre GM <[EMAIL PROTECTED]> wrote:
> On Wednesday 21 June 2006 04:46, Michael Sorich wrote:
> > When transposing a masked array of dtype ' > ndarray of dtype '|O4' was return
When transposing a masked array of dtype 'https://lists.sourceforge.net/lists/listinfo/numpy-discussion
Hi Sebastian,
I am not sure if there is a function already defined in numpy, but
something like this may be what you are after
def distance(a1, a2):
return sqrt(sum((a1[:,newaxis,:] - a2[newaxis,:,:])**2, axis=2))
The general idea is to avoid loops if you want the code to execute
fast. I hop
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