I had to poke around before finding it too:
bmat( [[K,G],[G.T, zeros(nc)]] )
On 4/1/07, Bill Baxter <[EMAIL PROTECTED]> wrote:
What's the best way of assembling a big matrix from parts?
I'm using lagrange multipliers to enforce constraints and this kind of
matrix comes up a lot:
[[ K, G],
What's the best way of assembling a big matrix from parts?
I'm using lagrange multipliers to enforce constraints and this kind of
matrix comes up a lot:
[[ K, G],
[ G.T , 0]]
In matlab you can use the syntax
[K G; G' zeros(nc)]
In numpy I'm using
vstack([ hstack([ K,G ]), hstack([ G.T,
I get the same failure on ppc. Here is the result of your commands:
big
<
>
=
On Apr 1, 2007, at 16:22, Stefan van der Walt wrote:
> Hi Chris
>
> Would you please run the following commands and show their output?
>
> import sys
> print sys.byteorder
>
> import numpy as N
> print N.array([1,2,3
Hi Stefan,
This is what I get:
>>> import sys
>>> print sys.byteorder
big
>>> import numpy as N
>>> print
N.array([1,2,3],N.dtype(N.int16).newbyteorder('<')).dtype.byteorder
<
>>> print
N.array([1,2,3],N.dtype(N.int16).newbyteorder('>')).dtype.byteorder
>
>>> print
N.array([1,2,3],N.dtyp
Hi Chris
Would you please run the following commands and show their output?
import sys
print sys.byteorder
import numpy as N
print N.array([1,2,3],N.dtype(N.int16).newbyteorder('<')).dtype.byteorder
print N.array([1,2,3],N.dtype(N.int16).newbyteorder('>')).dtype.byteorder
print N.array([1,2,3],N
Charles R Harris wrote:
> Just asking.
>
> In [35]: type(array(1.0)*2)
> Out[35]:
>
> In [36]: type(array(1.0))
> Out[36]:
No, in ufuncs 0-d arrays are considered scalars, as are Python scalars
and array scalars.
Also, ufuncs that result in scalars return NumPy scalars.
-Travis
Just asking.
In [35]: type(array(1.0)*2)
Out[35]:
In [36]: type(array(1.0))
Out[36]:
Chuck
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El ds 31 de 03 del 2007 a les 21:54 -0600, en/na Travis Oliphant va
escriure:
> I'm going to be tagging the tree for the NumPy 1.0.2 release tomorrow
> evening in preparation for the release on Monday. I've closed several
> bugs. Are there any show-stoppers remaining to be fixed?
Mmm... PyTabl
Sun hardware is big endian. To be specific, this test was done on a Sun
Ultra 10. I don't have access to a PPC right now. I can check tomorrow
once I am in the office.
Chris
>
> Hmm, Sun hardware is big endian, no? I wonder what happens on PPC? I
> don't see any problems here on Athlon64.
>
On 4/1/07, Christopher Hanley <[EMAIL PROTECTED]> wrote:
The following test fails on a Solaris 8 system:
==
FAIL: check_basic (numpy.core.tests.test_multiarray.test_clip)
The following test fails on a Solaris 8 system:
==
FAIL: check_basic (numpy.core.tests.test_multiarray.test_clip)
--
Traceback (most recent call last):
File
"/
I was just about to respond that _substantial_ support by a non-
profit best describes Travis Oliphant's many contributions through
BYU. I see now that BYU/SciPy/NumPy has been nominated ... excellent!
It might be appropriate for people from various constituencies to
comment...
"Preferenc
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