Is it hard to subclass recarrays? I'm currently working on a subclass
that doesn't add much; just some methods that sets all the values to
zero and other similarly trivial things. It'd be nice to make it work,
but if I have to use external functions on a plain recarray instead of
this subclass
On 1/1/07, Colin J. Williams <[EMAIL PROTECTED]> wrote:
What is the best way to treat scalar values from a matrix?
It seems that it's best to treat them as a simple Python values and not
to leave them wrapped up in the ndarray structure. I would welcome
advice.
The problem is illustrated belo
What is the best way to treat scalar values from a matrix?
It seems that it's best to treat them as a simple Python values and not
to leave them wrapped up in the ndarray structure. I would welcome advice.
The problem is illustrated below.
Colin W.
# tMul.py
import numpy.core as _n
a= _n.arang
Hi,
while answering your email (making a smaller version with data via
pickle) I noticed that the variable "set" contained a very large
matrix (I'm not quite sure but I believe I may have thrown 2048
dimensions at it with a multiplication that went wrong, giving a
"set" object that pickled
On Mon, 1 Jan 2007, Niklas Saers apparently wrote:
> The problem is that set is an array of 2048 numbers. However, when I
> run this function I get:
> "maxPos = 7925760, while len(set) is 2048"
> I do not understand why I get such a high index. Do you have any
> suggestions?
Can you post cod
Hi,
I'm quite new to numpy. My understanding of argmax() is that it gives
the index of the highest number in the array, just like:
from numpy import *
a=array(range(4096))
a=a*15
argmax(a)
gives 4095.
But, when I use this within my program I have a little function:
def localMaxima(set):
