numpy-discussion — Discussion list for all users of Numerical Python

[Numpy-discussion] Changing byte ordering with astype fails with 0d arrays

[Matthew B. <mat...@gm...>]

Hi,

As expected:

In [67]:a = array([1], dtype='<i4')

In [68]:a.astype('>i4').dtype
Out[68]:dtype('>i4')

I was also expecting this to work for 0d arrays, but it doesn't:

In [69]:a = array(1, dtype='<i4')

In [70]:a.astype('>i4').dtype
Out[70]:dtype('<i4')

Is this as intended?

Thanks a lot,

Matthew

Re: [Numpy-discussion] record descriptors: trailing unused bytes

[Travis O. <oli...@ie...>]

Martin Wiechert wrote:
> Hi list,
>
> does anybody know, if in C in the PyArray_Descr struct it is safe to manually 
> change descr->elsize and descr->alignment as long as these are compatible and 
> descr->elsize is large enough to hold all fields? Of course I mean before any 
> array is constructed using descr.
>   

Well, you should really make a copy of the PyArray_Descr structure and 
then fill it in as desired unless you are sure that no other arrays have 
are using that particular data-type object to describe their own data:  
PyArray_DescrNew gives you a new copy based on an old one (you just get 
a reference to the funciton pointers in the 'f' member so don't go 
changing those).

I guess your statement about "before any array is constructed using 
descr" means you are sure that there are no other arrays using the old 
elsize and alignment.

Then it should be fine.  There are not supposed to be any assumptions 
about the data-types except for what is explicitly provided in the 
data-type object (PyArray_Descr *).  So, changing them will change the 
data-type and things should ideally work.

-Travis

Re: [Numpy-discussion] visual programming

[Charles R H. <cha...@gm...>]

On 9/18/06, Mathew Yeates <my...@jp...> wrote:
>
> semi off topic.
> Does anyone know of any good visual programming tools? Forever ago, I
> used to use something called Khoros for image processing and I found it
> very useful. You connect boxes which represent different processing
> steps. At about the same time, there was something similar to Khoros
> from SGI. Explorer was its name, I think.
>
> Anybody out there use this sort of thing? Matlab doesn't offer it,
> right? Nor matplotlib?
>
> Mathew


There have been several presentations at the scipy conferences about a
visual programming environment for molecular visualization. You might check
and see if the presentations are available on the scipy site. Lets see, name
is ViPEr, and some papers can be found under publications at this site:
http://www.scripps.edu/%7Esanner/python/index.html
I have no idea how generally useful the framework is.

Chuck

Re: [Numpy-discussion] visual programming

[A. M. A. <per...@gm...>]

On 18/09/06, Mathew Yeates <my...@jp...> wrote:
> semi off topic.
> Does anyone know of any good visual programming tools? Forever ago, I
> used to use something called Khoros for image processing and I found it
> very useful. You connect boxes which represent different processing
> steps. At about the same time, there was something similar to Khoros
> from SGI. Explorer was its name, I think.
>
> Anybody out there use this sort of thing? Matlab doesn't offer it,
> right? Nor matplotlib?
>
> Mathew

I doubt it's what you're looking for, but PD and GEM are a visual
programming environment, oriented towards music, audio signal
processing, 2D and 3D video. (They're related to Max and jMax, which
do some of the same things.)

A. M. Archibald

Re: [Numpy-discussion] buggy buggy bugyy: format and casting ==> BUG in numpy.sum?

[Christopher B. <Chr...@no...>]

Sven Schreiber wrote:
> on my 1.0b5 I also see this docstring which indeed seems obsolete.

I get this docs string from :

 >>> import numpy as N
 >>> N.__version__
'1.0b5'
 >>> a = N.arange(10)
 >>> help( a.sum)

"""
sum(...)
     a.sum(axis=None, dtype=None) -> Sum of array over given axis.

     Sum the array over the given axis.  If the axis is None, sum over
     all dimensions of the array.

"""

that looks right to me.

-Chris

-- 
Christopher Barker, Ph.D.
Oceanographer
                                     		
NOAA/OR&R/HAZMAT         (206) 526-6959   voice
7600 Sand Point Way NE   (206) 526-6329   fax
Seattle, WA  98115       (206) 526-6317   main reception

Chr...@no...

Re: [Numpy-discussion] visual programming

[Les S. <sch...@op...>]

Mathew Yeates wrote:
> semi off topic.
> Does anyone know of any good visual programming tools? Forever ago, I 
> used to use something called Khoros for image processing and I found it 
> very useful. You connect boxes which represent different processing 
> steps. 
>   

if i recall correctly, there is still a version of Khoros floating
around that you can compile under Linux. i've done it several time, but
it WAS a while ago.

Les Schaffer

[Numpy-discussion] feasability study to migrate from numarray to numpy

[mg <mg....@la...>]

Hi all,

I am doing a feseability study to migrate our Python based FEM 
applications from Numarray to Numpy.

First, I tried to install Numpy from Python-2.4 on linux-x86, 
linux-86-64bit. So, all work fine. Great! Moreover, I change easily the 
BLAS linked libraries. I tried with ATLAS and GOTO. Great again!

Second, I try to do the same think on windows-x86 without success. So my 
first question is: is Numpy-1.0b5 has been tested and is supported on 
Windows?

Third, I tried to install Numpy from Python-2.5, which is our standard 
Python, on linux-x86... and the compilation stopped during the 
compilation of core/src/multiarraymodule.c. So my second question is: is 
there a workaround or is the porting to Python2.5 is yet schedule?

My third question is: is the tool to migrate the numarray based Python 
scripts (numpy.numarray.alter_code1) work fine? (I suppose yes...)

We have created a lot of bindings in order to pilote our generic-C++ 
framework with Python scripts. So, about the Numpy API, is it widely 
different than the Numarray API? (We will order the Numpy Guide too.)

To not duplicate large numerical memory arrays, Numarray allows to 
aliasing the memory of some bindings with arrays from Numarray, and we 
have used this feature intensively. So, I wonder if it is currently 
supported (or even scheduled)?

Thanks for your answer,
Mathieu.

[Numpy-discussion] visual programming

[Mathew Y. <my...@jp...>]

semi off topic.
Does anyone know of any good visual programming tools? Forever ago, I 
used to use something called Khoros for image processing and I found it 
very useful. You connect boxes which represent different processing 
steps. At about the same time, there was something similar to Khoros 
from SGI. Explorer was its name, I think.

Anybody out there use this sort of thing? Matlab doesn't offer it, 
right? Nor matplotlib?

Mathew

Re: [Numpy-discussion] recarray

[Lionel R. <lro...@li...>]

Le lundi 18 septembre 2006 17:40, Francesc Altet a =C3=A9crit=C2=A0:

> I'm running NumPy 1.0b5. Please, check that you are using a recent
> version of it.
>
> Cheers,
Arg, sorry, version here was 0.9, an upgrade and it works fine.
thanks again

=2D-=20
Lionel Roubeyrie - lro...@li...
LIMAIR
http://www.limair.asso.fr

Re: [Numpy-discussion] recarray

[Francesc A. <fa...@ca...>]

El dl 18 de 09 del 2006 a les 17:10 +0200, en/na Lionel Roubeyrie va
escriure:
> Le lundi 18 septembre 2006 12:17, Francesc Altet a =C3=A9crit :
> > You have two problems here. The first is that you shouldn't have missig=
n
> > entries, or conversion from empty strings to ints (or whatever) will
> >
> > fail:
> > >>> int('')
> >
> > Traceback (most recent call last):
> >   File "<stdin>", line 1, in ?
> > ValueError: invalid literal for int():
> >
> > Second, you can't feed a string of literals directly into the rec.array
> > constructor (it is not as intelligent to digest this yet). You can
> >
> > achieve what you want by first massaging the data a bit:
> > >>> ra=3Dnumpy.rec.array(datas[1:])
> >
> > numpy.rec.fromarrays([ra['f1'],ra['f2'],ra['f3'],ra['f4'],ra['f5']],for=
mats
> >=3D'a10,i2,a1,i2,a1') recarray([('05/01/2006', 33, 'A', 0, 'N'),
> > ('06/01/2006', 41, 'A', 30, 'A'),
> >        ('07/01/2006', 20, 'A', 16, 'A'), ('08/01/2006', 16, 'A', 13,
> > 'A')],
> >       dtype=3D[('f1', '|S10'), ('f2', '<i2'), ('f3', '|S1'), ('f4',
> > '<i2'), ('f5', '|S1')])
> >
> > or, a bit more easier,
> >
> > >>> ca=3Dnumpy.array(datas[1:])
> > >>> numpy.rec.fromarrays(ca.transpose(),formats=3D'a10,i2,a1,i2,a1')
> >
> > recarray([('05/01/2006', 33, 'A', 0, 'N'), ('06/01/2006', 41, 'A', 30,
> > 'A'),
> >        ('07/01/2006', 20, 'A', 16, 'A'), ('08/01/2006', 16, 'A', 13,
> > 'A')],
> >       dtype=3D[('f1', '|S10'), ('f2', '<i2'), ('f3', '|S1'), ('f4',
> > '<i2'), ('f5', '|S1')])
> >
> >
> > Cheers,
>=20
> Hi,
> thanks for your help, but I don't understand why is not working here:
> lionel[ETD-2006-01__PM2.5_DALTON]624>datas
>                          Sortie[624]:
> [['05/01/2006', '33', 'A', '10', 'N'],
>  ['06/01/2006', '41', 'A', '30', 'A'],
>  ['07/01/2006', '20', 'A', '16', 'A']]
>=20
> lionel[ETD-2006-01__PM2.5_DALTON]625>ra=3Drec.array(datas)
>=20
> lionel[ETD-2006-01__PM2.5_DALTON]626>ra
>                          Sortie[626]:
> recarray([('05/01/2006', '33', 'A', '10', 'N'),
>        ('06/01/2006', '41', 'A', '30', 'A'),
>        ('07/01/2006', '20', 'A', '16', 'A')],
>       dtype=3D[('f1', '|S10'), ('f2', '|S2'), ('f3', '|S1'), ('f4', '|S2'=
),=20
> ('f5', '|S1')])
>=20
> lionel[ETD-2006-01__PM2.5_DALTON]627>rec.fromarrays( [ra['f1'], ra['f2'],=
=20
> ra['f4']], formats=3D'a10,i2,i2')
> -------------------------------------------------------------------------=
--
> exceptions.TypeError                                 Traceback (most rece=
nt=20
> call last)

Mmm, this works for me:

>>> datas
[['05/01/2006', '33', 'A', '0', 'N'], ['06/01/2006', '41', 'A', '30',
'A'], ['07/01/2006', '20', 'A', '16', 'A'], ['08/01/2006', '16', 'A',
'13', 'A']]
>>> ra=3Drec.array(datas)
>>> rec.fromarrays([ra['f1'],ra['f2'],ra['f4']], formats=3D'a10,i2,i2')
recarray([('05/01/2006', 33, 0), ('06/01/2006', 41, 30),
       ('07/01/2006', 20, 16), ('08/01/2006', 16, 13)],
      dtype=3D[('f1', '|S10'), ('f2', '<i2'), ('f3', '<i2')])

I'm running NumPy 1.0b5. Please, check that you are using a recent
version of it.

Cheers,

--=20
>0,0<   Francesc Altet     http://www.carabos.com/
V   V   C=C3=A1rabos Coop. V.   Enjoy Data
 "-"

Re: [Numpy-discussion] recarray

[Lionel R. <lro...@li...>]

Le lundi 18 septembre 2006 12:17, Francesc Altet a =C3=A9crit=C2=A0:
> You have two problems here. The first is that you shouldn't have missign
> entries, or conversion from empty strings to ints (or whatever) will
>
> fail:
> >>> int('')
>
> Traceback (most recent call last):
>   File "<stdin>", line 1, in ?
> ValueError: invalid literal for int():
>
> Second, you can't feed a string of literals directly into the rec.array
> constructor (it is not as intelligent to digest this yet). You can
>
> achieve what you want by first massaging the data a bit:
> >>> ra=3Dnumpy.rec.array(datas[1:])
>
> numpy.rec.fromarrays([ra['f1'],ra['f2'],ra['f3'],ra['f4'],ra['f5']],forma=
ts
>=3D'a10,i2,a1,i2,a1') recarray([('05/01/2006', 33, 'A', 0, 'N'),
> ('06/01/2006', 41, 'A', 30, 'A'),
>        ('07/01/2006', 20, 'A', 16, 'A'), ('08/01/2006', 16, 'A', 13,
> 'A')],
>       dtype=3D[('f1', '|S10'), ('f2', '<i2'), ('f3', '|S1'), ('f4',
> '<i2'), ('f5', '|S1')])
>
> or, a bit more easier,
>
> >>> ca=3Dnumpy.array(datas[1:])
> >>> numpy.rec.fromarrays(ca.transpose(),formats=3D'a10,i2,a1,i2,a1')
>
> recarray([('05/01/2006', 33, 'A', 0, 'N'), ('06/01/2006', 41, 'A', 30,
> 'A'),
>        ('07/01/2006', 20, 'A', 16, 'A'), ('08/01/2006', 16, 'A', 13,
> 'A')],
>       dtype=3D[('f1', '|S10'), ('f2', '<i2'), ('f3', '|S1'), ('f4',
> '<i2'), ('f5', '|S1')])
>
>
> Cheers,

Hi,
thanks for your help, but I don't understand why is not working here:
lionel[ETD-2006-01__PM2.5_DALTON]624>datas
                         Sortie[624]:
[['05/01/2006', '33', 'A', '10', 'N'],
 ['06/01/2006', '41', 'A', '30', 'A'],
 ['07/01/2006', '20', 'A', '16', 'A']]

lionel[ETD-2006-01__PM2.5_DALTON]625>ra=3Drec.array(datas)

lionel[ETD-2006-01__PM2.5_DALTON]626>ra
                         Sortie[626]:
recarray([('05/01/2006', '33', 'A', '10', 'N'),
       ('06/01/2006', '41', 'A', '30', 'A'),
       ('07/01/2006', '20', 'A', '16', 'A')],
      dtype=3D[('f1', '|S10'), ('f2', '|S2'), ('f3', '|S1'), ('f4', '|S2'),=
=20
('f5', '|S1')])

lionel[ETD-2006-01__PM2.5_DALTON]627>rec.fromarrays( [ra['f1'], ra['f2'],=20
ra['f4']], formats=3D'a10,i2,i2')
=2D------------------------------------------------------------------------=
=2D-
exceptions.TypeError                                 Traceback (most recent=
=20
call last)

/home/lionel/Etudes_Techniques/ETD-2006-01__PM2.5_DALTON/<ipython console>

/usr/lib/python2.4/site-packages/numpy/core/records.py in=20
fromarrays(arrayList, formats, names, titles, shape, aligned)
    235     # populate the record array (makes a copy)
    236     for i in range(len(arrayList)):
=2D-> 237         _array[_names[i]] =3D arrayList[i]
    238
    239     return _array

TypeError: array cannot be safely cast to required type


=2D-=20
Lionel Roubeyrie - lro...@li...
LIMAIR
http://www.limair.asso.fr

[Numpy-discussion] =?GB2312?B?t8eyxs7xvq3A7bXEssbO8bncwO3Js8XMxKPE4r/Os8w=?=

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              <div align="center"><font color="#FFFFFF">[课 程 背 景]</font></div></td>                    
            <td width="83%" class="td">　</td>
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            <td height="74" colspan="2" class="td"><font FACE="??ì?,SimSun" LANG="ZH-CN">
              <p ALIGN="JUSTIFY">&nbsp;&nbsp;</font><font lang="ZH-CN" size="2">&nbsp;</font><font lang="ZH-CN" size="2">每一位管理和技术人员都清楚地懂得，单纯从技术角度衡量为合算的方案，也许却是一个财务陷阱，表面赢利而暗地里亏损，使经营者无法接受。如何将技术手段与财务运作相结合，使每位管理和技术人员都从老板的角度进行思考 , 有效地规避财务陷阱，实现管理决策与经营目标的一致性？本课程通过沙盘模拟实施体验式教学，每个小组 5-6 人模拟公司的生产、销售和财务分析过程，学员在模拟对抗中相互激发、体验决策与经营企业的乐趣，同时讲师与学员共同分享解决问题的模型与工具，使学员 " 身同体受 " ，完成从 know-what 向 know-why 转化。本课程通过二十<span style="letter-spacing: -1pt">八个实际案例分析，使企业各级管理和技术人员掌握财务管理知识，利用财务信息改进管理决策，实现管理效益最大化</span>。<br>         
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            <td height="64" colspan="2" class="td"> <p><font lang="ZH-CN" size="2"><font color="#FF0000">一、企业财务管理的内容及管理会计的作用</font><br>
              1、财务会计的职能<br>
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  现金流量表的逻辑结构与主要内容<br>
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              6、如何从会计报表读懂企业经营状况<br>
              &nbsp;&#8226;  案例分析：读报表，判断企业业绩水平<br>         
              <font color="#FF0000">三、如何利用财务数据分析并改善经营绩效</font><br>
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  总资产周转率与资产管理<br>
              3、盈利能力分析：资产回报率、股东权益回报率、资产流动速率<br>         
              4、风险指数分析：流动比率、负债 / 权益比率、营运偿债能力<br>         
              5、财务报表综合解读：综合运用财务信息透视公司运作水平<br>
              ◆ 案例分析：某上市公司的财务状况分析与经营绩效评价<br>         
              <font color="#FF0000">四、成本分析与成本决策</font><br>
              1、产品成本的概念和构成<br>
  成本习性分析<br>
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              5、如何运用 ABC 作业成本法进行管理分析，实施精细成本管理<br>         
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Re: [Numpy-discussion] buggy buggy bugyy: format and casting ==> BUG in numpy.sum?

[Sven S. <sve...@gm...>]

Eric Emsellem schrieb:
> Hi again
> 
> after some hours of debugging I finally (I think) found the problem:
> 
> numpy.sum([[0,1,2],[2,3,4]])
> 24
> 
> numpy.sum([[0,1,2],[2,3,4]],axis=0)
> array([2, 4, 6])
> 
> numpy.sum([[0,1,2],[2,3,4]],axis=1)
> array([3, 9])
> 
> 
> Isn't the first line supposed to act as with "axis=0" by default (see
> help numpy.sum!)...???
> Not setting axis=0 it sums everything!

The default axis was changed recently to None (btw, which version are
you using?), see the release notes on the web. So yes, it's expected.
> 
> Is that the expected behaviour or is the doc not updated? (I realise it
> may be better to force axis=.. to indicate what you need but still.. the
> example in numpy.sum help gives:
> sum([[0, 1], [0, 5]])
>     array([0, 6]) which is not what it gives when you do it...)

on my 1.0b5 I also see this docstring which indeed seems obsolete. Has
it been changed since then? (And similarly for the other
functions/methods where axis arguments have changed.)

I could check the docstrings systematically and update them, but
unfortunately not before the end of this month, sorry.

cheers,
sven

Re: [Numpy-discussion] buggy buggy bugyy: format and casting ==> BUG in numpy.sum?

[Albert S. <fu...@gm...>]

Hey Eric

> Hi again
> 
> after some hours of debugging I finally (I think) found the problem:
> 
> numpy.sum([[0,1,2],[2,3,4]])
> 24
>
> numpy.sum([[0,1,2],[2,3,4]],axis=0)
> array([2, 4, 6])
> 
> numpy.sum([[0,1,2],[2,3,4]],axis=1)
> array([3, 9])
> 
> 
> Isn't the first line supposed to act as with "axis=0" by default (see
> help numpy.sum!)...???
> Not setting axis=0 it sums everything!

The problem is that the sum axis default is None, not 0.
 
> Is that the expected behaviour or is the doc not updated? (I realise it
> may be better to force axis=.. to indicate what you need but still.. the
> example in numpy.sum help gives:
> sum([[0, 1], [0, 5]])
>     array([0, 6]) which is not what it gives when you do it...)

The documentation seems to be outdated. I'm not sure, but I think a few of
the axis default might have changed in the not too distant past. Not sure if
sum was affected. Either way, could you please file a ticket?

http://projects.scipy.org/scipy/numpy/register
http://projects.scipy.org/scipy/numpy/newticket

Regards,

Albert

Re: [Numpy-discussion] recarray

[Francesc A. <fa...@ca...>]

El dl 18 de 09 del 2006 a les 09:38 +0200, en/na Lionel Roubeyrie va
escriure:
> Le vendredi 15 septembre 2006 16:05, Francesc Altet a =C3=A9crit :
> > Another possibility is to play with columns directly from the initial
> > recarray. The next is an example:
> >
> > In [101]: ra=3Dnumpy.rec.array("1"*36, dtype=3D"a4,i4,f4", shape=3D3)
> > In [102]: ra
> > Out[102]:
> > recarray([('1111', 825307441, 2.5784852031307537e-09),
> >        ('1111', 825307441, 2.5784852031307537e-09),
> >        ('1111', 825307441, 2.5784852031307537e-09)],
> >       dtype=3D[('f0', '|S4'), ('f1', '<i4'), ('f2', '<f4')])
> > In [103]: rb=3Dnumpy.rec.fromarrays([numpy.array(ra['f0'], 'i4'),ra['f2=
']],
> > names=3D'f0,f1')
> > In [104]: rb
> > Out[104]:
> > recarray([(1111, 2.5784852031307537e-09), (1111, 2.5784852031307537e-09=
),
> >        (1111, 2.5784852031307537e-09)],
> >       dtype=3D[('f0', '<i4'), ('f1', '<f4')])
> >
> > where ra is the original recarray and rb is a derived one where its fir=
st
> > column is the original from ra, but converted to integers ('i4'), and t=
he
> > second it's the third column from ra (so the second column from ra has =
been
> > stripped out from rb).
>=20
> I have a problem with that :
> lionel[ETD-2006-01__PM2.5_DALTON]334>datas[0:5]
>                          Sortie[334]:
> [['Dates ', 'PM10 ', 'c10', 'PM2.5  ', 'c2.5'],
>  ['05/01/2006', '33', 'A', '', 'N'],
>  ['06/01/2006', '41', 'A', '30', 'A'],
>  ['07/01/2006', '20', 'A', '16', 'A'],
>  ['08/01/2006', '16', 'A', '13', 'A']]
>=20
> lionel[ETD-2006-01__PM2.5_DALTON]
> 335>ra=3Drec.array(datas[1:],formats=3D'a10,i2,a1,i2,a1')
>=20
> lionel[ETD-2006-01__PM2.5_DALTON]336>ra[0:5]
>                          Sortie[336]:
> recarray([[('05/01/2006', 0, '', 0, ''), ('33', 0, '', 0, ''),
>         ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
>         ('30', 0, '', 0, ''),
>         ('N\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')],
>        [('06/01/2006', 0, '', 0, ''), ('41', 0, '', 0, ''),
>         ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
>         ('30', 0, '', 0, ''),
>         ('A\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')],
>        [('07/01/2006', 0, '', 0, ''), ('20', 0, '', 0, ''),
>         ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
>         ('16', 0, '', 0, ''),
>         ('A\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')],
>        [('08/01/2006', 0, '', 0, ''), ('16', 0, '', 0, ''),
>         ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
>         ('13', 0, '', 0, ''),
>         ('A\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')],
>        [('09/01/2006', 0, '', 0, ''), ('18', 0, '', 0, ''),
>         ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
>         ('15', 0, '', 0, ''),
>         ('A\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')]],
>       dtype=3D[('f1', '|S10'), ('f2', '<i2'), ('f3', '|S1'), ('f4', '<i2'=
),=20
> ('f5', '|S1')])
>=20
> I have some missing entries, is it for that or do I have to make some cha=
nges=20
> on the date column?

You have two problems here. The first is that you shouldn't have missign
entries, or conversion from empty strings to ints (or whatever) will
fail:

>>> int('')
Traceback (most recent call last):
  File "<stdin>", line 1, in ?
ValueError: invalid literal for int():

Second, you can't feed a string of literals directly into the rec.array
constructor (it is not as intelligent to digest this yet). You can
achieve what you want by first massaging the data a bit:

>>> ra=3Dnumpy.rec.array(datas[1:])
>>>
numpy.rec.fromarrays([ra['f1'],ra['f2'],ra['f3'],ra['f4'],ra['f5']],formats=
=3D'a10,i2,a1,i2,a1')
recarray([('05/01/2006', 33, 'A', 0, 'N'), ('06/01/2006', 41, 'A', 30,
'A'),
       ('07/01/2006', 20, 'A', 16, 'A'), ('08/01/2006', 16, 'A', 13,
'A')],
      dtype=3D[('f1', '|S10'), ('f2', '<i2'), ('f3', '|S1'), ('f4',
'<i2'), ('f5', '|S1')])

or, a bit more easier,

>>> ca=3Dnumpy.array(datas[1:])
>>> numpy.rec.fromarrays(ca.transpose(),formats=3D'a10,i2,a1,i2,a1')
recarray([('05/01/2006', 33, 'A', 0, 'N'), ('06/01/2006', 41, 'A', 30,
'A'),
       ('07/01/2006', 20, 'A', 16, 'A'), ('08/01/2006', 16, 'A', 13,
'A')],
      dtype=3D[('f1', '|S10'), ('f2', '<i2'), ('f3', '|S1'), ('f4',
'<i2'), ('f5', '|S1')])


Cheers,

--=20
>0,0<   Francesc Altet     http://www.carabos.com/
V   V   C=C3=A1rabos Coop. V.   Enjoy Data
 "-"

Re: [Numpy-discussion] buggy buggy bugyy: format and casting ==> BUG in numpy.sum?

[Eric E. <ems...@ob...>]

Hi again

after some hours of debugging I finally (I think) found the problem:

numpy.sum([[0,1,2],[2,3,4]])
24

numpy.sum([[0,1,2],[2,3,4]],axis=0)
array([2, 4, 6])

numpy.sum([[0,1,2],[2,3,4]],axis=1)
array([3, 9])


Isn't the first line supposed to act as with "axis=0" by default (see
help numpy.sum!)...???
Not setting axis=0 it sums everything!

Is that the expected behaviour or is the doc not updated? (I realise it
may be better to force axis=.. to indicate what you need but still.. the
example in numpy.sum help gives:
sum([[0, 1], [0, 5]])
    array([0, 6]) which is not what it gives when you do it...)

thanks

Eric

Re: [Numpy-discussion] recarray

[Lionel R. <lro...@li...>]

Le vendredi 15 septembre 2006 16:05, Francesc Altet a =E9crit=A0:
> Another possibility is to play with columns directly from the initial
> recarray. The next is an example:
>
> In [101]: ra=3Dnumpy.rec.array("1"*36, dtype=3D"a4,i4,f4", shape=3D3)
> In [102]: ra
> Out[102]:
> recarray([('1111', 825307441, 2.5784852031307537e-09),
>        ('1111', 825307441, 2.5784852031307537e-09),
>        ('1111', 825307441, 2.5784852031307537e-09)],
>       dtype=3D[('f0', '|S4'), ('f1', '<i4'), ('f2', '<f4')])
> In [103]: rb=3Dnumpy.rec.fromarrays([numpy.array(ra['f0'], 'i4'),ra['f2']=
],
> names=3D'f0,f1')
> In [104]: rb
> Out[104]:
> recarray([(1111, 2.5784852031307537e-09), (1111, 2.5784852031307537e-09),
>        (1111, 2.5784852031307537e-09)],
>       dtype=3D[('f0', '<i4'), ('f1', '<f4')])
>
> where ra is the original recarray and rb is a derived one where its first
> column is the original from ra, but converted to integers ('i4'), and the
> second it's the third column from ra (so the second column from ra has be=
en
> stripped out from rb).

I have a problem with that :
lionel[ETD-2006-01__PM2.5_DALTON]334>datas[0:5]
                         Sortie[334]:
[['Dates ', 'PM10 ', 'c10', 'PM2.5  ', 'c2.5'],
 ['05/01/2006', '33', 'A', '', 'N'],
 ['06/01/2006', '41', 'A', '30', 'A'],
 ['07/01/2006', '20', 'A', '16', 'A'],
 ['08/01/2006', '16', 'A', '13', 'A']]

lionel[ETD-2006-01__PM2.5_DALTON]
335>ra=3Drec.array(datas[1:],formats=3D'a10,i2,a1,i2,a1')

lionel[ETD-2006-01__PM2.5_DALTON]336>ra[0:5]
                         Sortie[336]:
recarray([[('05/01/2006', 0, '', 0, ''), ('33', 0, '', 0, ''),
        ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
        ('30', 0, '', 0, ''),
        ('N\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')],
       [('06/01/2006', 0, '', 0, ''), ('41', 0, '', 0, ''),
        ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
        ('30', 0, '', 0, ''),
        ('A\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')],
       [('07/01/2006', 0, '', 0, ''), ('20', 0, '', 0, ''),
        ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
        ('16', 0, '', 0, ''),
        ('A\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')],
       [('08/01/2006', 0, '', 0, ''), ('16', 0, '', 0, ''),
        ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
        ('13', 0, '', 0, ''),
        ('A\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')],
       [('09/01/2006', 0, '', 0, ''), ('18', 0, '', 0, ''),
        ('A[9\xb4q\x00\x00\x00\xc0\xa3', -18448, '\xc0', -3933, '\xb7'),
        ('15', 0, '', 0, ''),
        ('A\x00\x00\x00\x00\x00\x00\x00t\xeb', -18496, '\x19', 13, '')]],
      dtype=3D[('f1', '|S10'), ('f2', '<i2'), ('f3', '|S1'), ('f4', '<i2'),=
=20
('f5', '|S1')])

I have some missing entries, is it for that or do I have to make some chang=
es=20
on the date column?
thanks


=2D-=20
Lionel Roubeyrie - lro...@li...
LIMAIR
http://www.limair.asso.fr

Re: [Numpy-discussion] compile error with python2.5

[Albert S. <fu...@gm...>]

Hello all

These problems were fixed in SVN just after 1.0rc1 was released.

http://projects.scipy.org/scipy/numpy/changeset/3119

Regards,

Albert

> -----Original Message-----
> From: num...@li... [mailto:numpy-
> dis...@li...] On Behalf Of Achim Gaedke
> Sent: 17 September 2006 22:00
> To: num...@li...
> Subject: [Numpy-discussion] compile error with python2.5
> 
> Hi!
> 
> I compiled numpy-1.0b5 with python2.5 on debian testing and raIn file
> included from numpy/core/src/multiarraymodule.c:65:

[Numpy-discussion] compile error with python2.5

[Achim G. <Ach...@ph...>]

Hi!

I compiled numpy-1.0b5 with python2.5 on debian testing and raIn file
included from numpy/core/src/multiarraymodule.c:65:
numpy/core/src/arrayobject.c: In function 'PyArray_PyIntAsIntp':
numpy/core/src/arrayobject.c:564: error: 'op' undeclared (first use in
this function)
numpy/core/src/arrayobject.c:564: error: (Each undeclared identifier is
reported only once
numpy/core/src/arrayobject.c:564: error: for each function it appears in.)
numpy/core/src/arrayobject.c:565: warning: cast from pointer to integer
of different size
numpy/core/src/arrayobject.c: In function 'PyArray_PyIntAsInt':
numpy/core/src/arrayobject.c:654: warning: cast from pointer to integer
of different size
numpy/core/src/arrayobject.c: In function 'array_subscript':
numpy/core/src/arrayobject.c:2694: error: request for member 'ob_type'
in something not a structure or union
numpy/core/src/arrayobject.c:2694: error: request for member 'ob_type'
in something not a structure or union
numpy/core/src/arrayobject.c:2694: error: request for member 'ob_type'
in something not a structure or union
In file included from numpy/core/src/multiarraymodule.c:65:
numpy/core/src/arrayobject.c: In function 'PyArray_PyIntAsIntp':
numpy/core/src/arrayobject.c:564: error: 'op' undeclared (first use in
this function)
numpy/core/src/arrayobject.c:564: error: (Each undeclared identifier is
reported only once
numpy/core/src/arrayobject.c:564: error: for each function it appears in.)
numpy/core/src/arrayobject.c:565: warning: cast from pointer to integer
of different size
numpy/core/src/arrayobject.c: In function 'PyArray_PyIntAsInt':
numpy/core/src/arrayobject.c:654: warning: cast from pointer to integer
of different size
numpy/core/src/arrayobject.c: In function 'array_subscript':
numpy/core/src/arrayobject.c:2694: error: request for member 'ob_type'
in something not a structure or union
numpy/core/src/arrayobject.c:2694: error: request for member 'ob_type'
in something not a structure or union
numpy/core/src/arrayobject.c:2694: error: request for member 'ob_type'
in something not a structure or union
error: Command "gcc -pthread -fno-strict-aliasing -DNDEBUG -g -O3 -Wall
-Wstrict-prototypes -fPIC -Ibuild/src.linux-i686-2.5/numpy/core/src
-Inumpy/core/include -Ibuild/src.linux-i686-2.5/numpy/core
-Inumpy/core/src -Inumpy/core/include
-I/home/achim/local/include/python2.5 -c
numpy/core/src/multiarraymodule.c -o
build/temp.linux-i686-2.5/numpy/core/src/multiarraymodule.o" failed with
exit status 1
n into errors

I fixed it by guessing the correct arguments. The patch is attached.

I hope someone can revise this fix.

Achim

[Numpy-discussion] record descriptors: trailing unused bytes

[Martin W. <mar...@gm...>]

Hi list,

does anybody know, if in C in the PyArray_Descr struct it is safe to manually 
change descr->elsize and descr->alignment as long as these are compatible and 
descr->elsize is large enough to hold all fields? Of course I mean before any 
array is constructed using descr.

Thanks, Martin.

[Numpy-discussion] PHAxqiRMA

[Aksel B. <kaa...@ce...>]

Hi
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l C q I n A t L e I z S
e A x M g B u I b E o N
k X d A w N w A q X
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S y AV o E up to 6 t 0 % w e it c h http://www.ylutriamoa.info
<http://www.ylutriamoa.info>=20

Re: [Numpy-discussion] concatenation changes dtype

[Martin W. <mar...@gm...>]

On Sunday 17 September 2006 00:36, Travis Oliphant wrote:
> Martin Wiechert wrote:
> > Hi list,
> >
> > Apparently r_[x,x] does not necessarily have the same dtype as x:
> >>>> from numpy import *
> >>>> dt = dtype ([('a', 'b'), ('f4', 'i4')])
> >>>> x = zeros ((1,), dt)
> >>>> x.dtype
> >
> > dtype([('a', '|i1'), ('f4', '<i4')])
>
> Did you mean to make a data-type that was a 1-byte integer followed by a
> 4-byte integer with field names of 'a' and 'f4'?
>
> Perhaps you meant:
>
> dtype([('a','f4'),('b','i4')])
>
> which is a 4-byte float followed by a 4-byte integer.
>

Thanks for the hint.
Actually, the code I posted was just for the sake of example. Still you 
correctly read my thoughts.

Martin.

>
> -Travis
>
>
>
>
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Re: [Numpy-discussion] concatenation changes dtype

[Travis O. <oli...@ie...>]

Martin Wiechert wrote:
> Hi list,
>
> Apparently r_[x,x] does not necessarily have the same dtype as x:
>
>   
>>>> from numpy import *
>>>> dt = dtype ([('a', 'b'), ('f4', 'i4')])
>>>> x = zeros ((1,), dt)
>>>> x.dtype
>>>>         
> dtype([('a', '|i1'), ('f4', '<i4')])
>   

Did you mean to make a data-type that was a 1-byte integer followed by a 
4-byte integer with field names of 'a' and 'f4'?

Perhaps you meant:

dtype([('a','f4'),('b','i4')])

which is a 4-byte float followed by a 4-byte integer.


-Travis

Re: [Numpy-discussion] concatenation changes dtype

[Travis O. <oli...@ie...>]

Martin Wiechert wrote:
> Hi list,
>
> Apparently r_[x,x] does not necessarily have the same dtype as x:
>
>   
>>>> from numpy import *
>>>> dt = dtype ([('a', 'b'), ('f4', 'i4')])
>>>> x = zeros ((1,), dt)
>>>> x.dtype
>>>>         
> dtype([('a', '|i1'), ('f4', '<i4')])
>   
>>>> r_[x,x].dtype
>>>>         
> dtype('object')
>   
>>>> import numpy
>>>> numpy.version.version
>>>>         
> '1.0rc1.dev3171'
>
> Does anybody know how to avoid this change of dtype?
>   

Thanks for the check.  It should be fixed now in SVN.  There was an 
inappropriate force to object arrays which neglected this case.

-Travis

[Numpy-discussion] concatenation changes dtype

[Martin W. <mar...@gm...>]

Hi list,

Apparently r_[x,x] does not necessarily have the same dtype as x:

>>> from numpy import *
>>> dt = dtype ([('a', 'b'), ('f4', 'i4')])
>>> x = zeros ((1,), dt)
>>> x.dtype
dtype([('a', '|i1'), ('f4', '<i4')])
>>> r_[x,x].dtype
dtype('object')
>>>
>>> import numpy
>>> numpy.version.version
'1.0rc1.dev3171'

Does anybody know how to avoid this change of dtype?

Thanks, Martin.