rray ((2,2), object)
>>> a.flat [2] = (1, 2, 3)
>>> a.flat [2]
1
>>> a
array([[None, None],
[1, None]], dtype=object)
Is this a feature? Wouldn't a naive user like me expect
a.flat [2] == (1, 2, 3)?
Thanks in advance,
Martin Wiechert
--
On Thursday 21 September 2006 18:24, Travis Oliphant wrote:
> Martin Wiechert wrote:
> > Thanks Travis.
> >
> > Do I understand correctly that the only way to be really safe is to make
> > a copy and not to export a reference to it?
> > Because anybody having a r
:
> Martin Wiechert wrote:
> > Hi list,
> >
> > I just stumbled accross NPY_WRITEABLE flag.
> > Now I'd like to know if there are ways either from Python or C to make an
> > array temporarily immutable.
>
> Just setting the flag
>
> Python:
>
>
Hi list,
I just stumbled accross NPY_WRITEABLE flag.
Now I'd like to know if there are ways either from Python or C to make an
array temporarily immutable.
Thanks, Martin.
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On Tuesday 19 September 2006 20:37, Travis Oliphant wrote:
> Martin Wiechert wrote:
> > Hi list,
> >
> > Please forgive my ignorance: Is there any difference between npy_intp and
> > size_t. Aren't both "ints just big enough to be safe with pointer
> &g
Hi list,
Please forgive my ignorance: Is there any difference between npy_intp and
size_t. Aren't both "ints just big enough to be safe with pointer arithmetics
even on 64 bit architectures?".
Thanks,
Martin.
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On Monday 18 September 2006 20:46, Travis Oliphant wrote:
> 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
> > compa
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.
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', &#
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', '>> r_[x,x].dtype
dtype('object')
>>>
>>> import numpy
>>> numpy.version.version
'1.0rc1.
On Friday 15 September 2006 20:27, Travis Oliphant wrote:
> Martin Wiechert wrote:
> > On Friday 15 September 2006 19:14, Travis Oliphant wrote:
> >> Martin Wiechert wrote:
> >>> Thanks Albert! Do you also know the corresponding C-API function? It
> >>>
On Friday 15 September 2006 20:05, Travis Oliphant wrote:
> Martin Wiechert wrote:
> > Hi list,
> >
> > I'm using PyArray_DescrConverter with a dict object to create a
> > "struct-like" dtype from C.
> > As the struct contains different data types I
On Friday 15 September 2006 19:14, Travis Oliphant wrote:
> Martin Wiechert wrote:
> > Thanks Albert! Do you also know the corresponding C-API function? It
> > cannot be PyArray_DescrConverter (PyObject *, PyArray_Descr **), whose
> > signature has no "align"
y
> Docstring:
>
>
Thanks Albert! Do you also know the corresponding C-API function? It cannot be
PyArray_DescrConverter (PyObject *, PyArray_Descr **), whose signature has no
"align", right?
> Cheers,
>
> Albert
>
> > -Original Message-
> > From: [EMAIL P
On Friday 15 September 2006 16:40, Francesc Altet wrote:
> A Divendres 15 Setembre 2006 16:13, Martin Wiechert va escriure:
> > Hi list,
> >
> > I'm using PyArray_DescrConverter with a dict object to create a
> > "struct-like" dtype from C.
> > A
On Friday 15 September 2006 16:13, Martin Wiechert wrote:
> Hi list,
>
> I'm using PyArray_DescrConverter with a dict object to create a
> "struct-like" dtype from C.
> As the struct contains different data types I run into "unaligned access"
> probl
Hi list,
I'm using PyArray_DescrConverter with a dict object to create a "struct-like"
dtype from C.
As the struct contains different data types I run into "unaligned access"
problems.
Is there a way to force alignment or to get trailing unused bytes in the
dtpye?
Thanks, Martin
-
ppreciated.
Regards,
Martin Wiechert
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Hi all,
is it just me, or is matrixmultiply missing from numpy1.0b?
>>> import numpy
>>> numpy.version.version
'1.0b1'
>>> numpy.matrixmultiply
Traceback (most recent call last):
File "", line 1, in ?
AttributeError: 'module' object has no attribute 'matrixmultiply'
Thanks Martin.
---
Hi all,
for me
M [ix_(I, J)]
does not work if I, J are boolean arrays. Is this intended or a bug/missing
feature?
And is there a way (other than I = where (I) [0] etc.) to make it work?
Thanks,
Martin
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Hi list,
does anybody know, why
maximum.reduce (())
does not return -inf?
Looks very natural to me and as a byproduct maximum.reduce would ignore nans,
thereby removing the need of nanmax etc.
The current convention gives
>>> from numpy import *
>>> maximum.reduce ((1,nan))
1.0
>>> maximum.r
Thanks Pau, that's exactly what I was looking for.
Martin
On Wednesday 14 June 2006 12:01, you wrote:
> On 6/14/06, Martin Wiechert <[EMAIL PROTECTED]> wrote:
> > Hi Simon,
> >
> > thanks for your reply.
> >
> > A [I, J]
> >
> > seems to o
whole rectangle IxJ but only the elements (I_1, J_1), (I_2, J_2).
E.g., if I==J this is the diagonal of the submatrix, not the full submatrix.
Martin
On Wednesday 14 June 2006 20:25, Simon Burton wrote:
> On Wed, 14 Jun 2006 11:14:17 +0200
>
> Martin Wiechert <[EMAIL PROTECTED]>
Hi list,
is there a concise way to address a subrectangle of a 2d array? So far I'm
using
A [I] [:, J]
which is not pretty and more importantly only works for reading the
subrectangle. Writing does *not* work. (Cf. session below.)
Any help would be appreciated.
Thanks,
Martin
In [1]:a = z
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