> Thanks for the thorough description of getting everything to work.
You're welcome. I'm glad people find it helpful :-).
>> -ipo -- okay for linker / c++, but not elsewhere. For C, it causes
>> the long_double_representation() function in setup_common() to fail
>> (I'll note this on the corres
Hi Hoyt,
Thanks for the thorough description of getting everything to work.
On Sat, Mar 26, 2011 at 12:14 AM, Hoyt Koepke
wrote:
> Okay, even better news. After a little bit of probing around, it
> turns out that some of the errors, namely the one in the interpolator,
> were due to intel's hand
Den 26.03.2011 19:31, skrev Christopher Barker:
> To understand all this, you'll need to study up a bit on how numpy
> arrays lay out and access the memory that they use: they use a concept
> of "strided" memory. It's very powerful and flexible, but most other
> numeric libs can't use those same d
On 26. mars 2011, at 21.44, Derek Homeier wrote:
> Hi Paul,
>
> having had a look at the other tickets you dug up,
>
>> My opinions are my own, and in detail, they are:
>> 1752:
>> I attach a possible patch. FWIW, I agree with the request. The
>> patch is written to be compatible with the f
Hi all,
For the 1.6 release #1628 needs to be resolved. A while ago there was
a discussion about the normed keyword in histogram, which ATM has
changed behavior compared to numpy 1.5.1. The preferred fix as I read
the discussion
(http://thread.gmane.org/gmane.comp.python.numeric.general/39746/foc
Thank you sir thank you very much..
sir i got a new flexible command:
>>> delete(a, s_[1:3], axis=1) # remove columns 1 and 2
http://www.scipy.org/Numpy_Example_List#head-2413c07da8954330701674ff8e950c4505665be1
On Sun, Mar 27, 2011 at 1:18 PM, andrew nelson wrote:
>
I think A[:,0:2] should give you what you want.
On 27/03/2011, at 6:24 PM, dileep kunjaai wrote:
> Dear sir,
> Can we take a numpy array excluding particular columns
> Example:
> A=[[ 20. 71. 57.5]
> [ 21. 71. 56. ]
> [ 22. 71. 74.3]
> [ 23. 71. 66. ]
> [ 24. 71. 96.5]
>
Dear sir,
Can we take a numpy array excluding particular columns
Example:
A=[[ 20. 71. 57.5]
[ 21. 71. 56. ]
[ 22. 71. 74.3]
[ 23. 71. 66. ]
[ 24. 71. 96.5]
[ 25. 71. 61.7]
[ 20. 72. 72.9]
(Here i am give up the last column)
The answer should be [[ 20. 71. ]
