Charles R Harris schrieb:
>
> mat(5) is a 1x1 matrix:
>
> In [5]: mat(5)
> Out[5]: matrix([[5]])
>
> so the error is valid. If you want to do a scalar multiply try
>
> In [6]: amat*5
> Out[6]:
> matrix([[ 0, 5, 10, 15],
> [20, 25, 30, 35],
> [40, 45, 50, 55]])
Or you can do m
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
