On 24/03/11 10:00, Dmitrey wrote:
> hi,
> when numpy in Linux apt will be updated? It's still 1.3.0 with many bugs
>
> I have Linux KUBUNTU 10.10
>
> D.
(k)ubuntu 11.04 (to be released in april) will have at numpy 1.5.1 (or possible
newer)
https://launchpad.net/ubuntu/+source/python-numpy
also s
2011-03-08 14:29:07 GMT, Sturla Molden:
>A "boolean slice" cannot be indexed with the dot product of dimensions
and strides, hence the copy.
>You probably want to use masked arrays instead.
Masked array does not seem to help. when i do:
am = numpy.ma.array(a, mask=a[n]['name']=="foo")
am['x'] +=
Hi
I am having an issue with boolean slicing. it seems to work fine for
reading a value, but I can use it to set a value:
import numpy
b = numpy.array([[1,2],[3,4],[5,6],[7,8],[9,10]])
m = numpy.array([0,1,0,0,0], dtype=bool)
print b[m]
print b[m][0,0]
b[m][0,0] = -1
print b[m][0,0]
I think th
On 01/08/10 17:38, Ralf Gommers wrote:
> I am pleased to announce the availability of the first beta of NumPy
> 1.5.0. This will be the first NumPy release to include support for
> Python 3, as well as for Python 2.7. Please try this beta and report any
> problems on the NumPy mailing list.
the de
Hello
A while ago there was a discussion about field order when accessing recarrays.
eg:
>>> x = np.array([(1.5,2.5,(1.0,2.0)),(3.,4.,(4.,5.)),(1.,3.,(2.,6.))],
dtype=[('x','f4'),('y',np.float32),('value','f4',(2,2))])
>>> x[['x','y']]
array([(1.5, 2.5), (3.0, 4.0), (1.0, 3.0)],
d
On Tue, Mar 16, 2010 at 12:23 PM, gmail.com> wrote:
> You can file a ticket, but if this is a function that is already in
> real use, then it would be an unpleasant break in the API
done
http://projects.scipy.org/numpy/ticket/1431
thanks
Sam
___
NumP
On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold wrote:
>> so i always get the vales back in the original order. is the by design, or a
>> bug?
>>
>
> I've been bitten by this before too and asked the same question with
> no response. I think it's just a limitation of the design of
> structured
Thanks for those responses.
could the dtype pages in the numpy reference link to the basics.rec page in the
user guide?
there seem to be some gotchas in list within a list notation.
if i have
a = array([0,0.1,0.2,0.3,0.4])
b = array((0,0.1,0.2,0.3,0.4), dtype=[('a','f'), ('b','f'), ('c','f'),
Hello
I can't find much documentation for using arrays where the dtype has named
fields (is there a term for this sort of array). there is some in
http://docs.scipy.org/doc/numpy/reference/arrays.dtypes.html
http://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.html
but that's most crea
Robert Kern wrote:
> On Thu, Mar 4, 2010 at 02:34, sam tygier wrote:
>> Robert Kern wrote:
>>> On Wed, Mar 3, 2010 at 15:14, sam tygier wrote:
>>>> Hello
>>>>
>>>> today i was caught out by trying to use 'a' as a dtype for a singl
itertools in the python standard library has what you need
>>> import itertools
>>> list( itertools.product([4,5], [7,8,9]) )
[(4, 7), (4, 8), (4, 9), (5, 7), (5, 8), (5, 9)]
(all the itertools functions return generators, so the list() is to
convert it to a list)
Sam
__
Robert Kern wrote:
> On Wed, Mar 3, 2010 at 15:14, sam tygier wrote:
>> Hello
>>
>> today i was caught out by trying to use 'a' as a dtype for a single
>> character. a simple example would be:
>>
>>>>> array([('a',1),('b
Hello
today i was caught out by trying to use 'a' as a dtype for a single character.
a simple example would be:
>>> array([('a',1),('b',2),('c',3)], dtype=[("letter", "a"), ("number", "i")])
array([('', 1), ('', 2), ('', 3)],
dtype=[('letter', '|S0'), ('number', '>> array([('a',1),('b',2)
On Fri, 2010-02-26 at 07:56 +, numpy-discussion-requ...@scipy.org
wrote:
> Date: Thu, 25 Feb 2010 13:56:43 -0800
> From: Chris Barker
> Subject: Re: [Numpy-discussion] read ascii file with quote delimited
> strings
> To: Discussion of Numerical Python
> Message-ID: <4b86f21b.5070...@n
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