Unfortunately, I'm in something of a bind with version. Although, I
wonder if I can operate two versions of Python on the same Win XP?
Whoops, I read that wrong. Yes, I think I can upgrade numpy without much
difficulty. I am stuck with holding on the current version of Python.
Robert Kern wrot
On Sun, Dec 20, 2009 at 22:44, Wayne Watson
wrote:
> 1.2.0. Did you find the description in the reference manual?
No, he found it using help(numpy.dot) using a more recent version of
numpy. I highly recommend upgrading.
--
Robert Kern
"I have come to believe that the whole world is an enigma,
1.2.0. Did you find the description in the reference manual?
Charles R Harris wrote:
>
>
> On Sun, Dec 20, 2009 at 7:37 PM, Wayne Watson
> mailto:sierra_mtnv...@sbcglobal.net>>
> wrote:
>
> I've just become acquainted with the help command in WinXP IDLE.
> help(numyp.sin) works fine. Wha
On Sun, Dec 20, 2009 at 8:58 PM, Alan G Isaac wrote:
> Why is s3 F_CONTIGUOUS, and perhaps equivalently,
> why is its C_CONTIGUOUS data in s3.base (below)?
> Thanks,
> Alan Isaac
>
a3
> array([[ 0, 1, 2, 3, 4, 5],
> [ 6, 7, 8, 9, 10, 11]])
a3.flags
> C_CONTIGUOUS : True
On Sun, Dec 20, 2009 at 7:37 PM, Wayne Watson
wrote:
> I've just become acquainted with the help command in WinXP IDLE.
> help(numyp.sin) works fine. What's going on with dot?
>
> >>> help(numpy.core.multiarray.dot)
> Help on built-in function dot in module numpy.core.multiarray:
>
> dot(...)
>
>
Hi everyone,
I was wondering if anyone had insight on the best way to solve the
following problem.
Suppose I have a numpy array called U.
U has shape (N,M)
Suppose further that I have another array called dU and that
dU has shape (P,M) and that P has no particular relationship to N, it
could be la
I've just become acquainted with the help command in WinXP IDLE.
help(numyp.sin) works fine. What's going on with dot?
>>> help(numpy.core.multiarray.dot)
Help on built-in function dot in module numpy.core.multiarray:
dot(...)
Is there help for dot?
--
Wayne Watson (Watson Adventu
Why is s3 F_CONTIGUOUS, and perhaps equivalently,
why is its C_CONTIGUOUS data in s3.base (below)?
Thanks,
Alan Isaac
>>> a3
array([[ 0, 1, 2, 3, 4, 5],
[ 6, 7, 8, 9, 10, 11]])
>>> a3.flags
C_CONTIGUOUS : True
F_CONTIGUOUS : False
OWNDATA : True
WRITEABLE : True
ALIG