On Sat, Dec 19, 2009 at 6:43 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Fri, Dec 18, 2009 at 10:20 PM, Wayne Watson
sierra_mtnv...@sbcglobal.net wrote:
This program gives me the message following it:
Program==
import numpy as np
from numpy import
I'm trying to compute the angle between two vectors in three dimensional
space. For that, I need to use the scalar (dot) product , according to
a calculus book (quoting the book) I'm holding in my hands right now.
I've used dot() successfully to produce the necessary angle. My program
works
Wayne Watson wrote:
I'm trying to compute the angle between two vectors in three dimensional
space. For that, I need to use the scalar (dot) product , according to
a calculus book (quoting the book) I'm holding in my hands right now.
I've used dot() successfully to produce the necessary
On Sat, Dec 19, 2009 at 4:53 AM, Chris Colbert sccolb...@gmail.com wrote:
On Sat, Dec 19, 2009 at 6:43 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Dec 18, 2009 at 10:20 PM, Wayne Watson
sierra_mtnv...@sbcglobal.net wrote:
This program gives me the message following
Dag Sverre Seljebotn wrote:
Wayne Watson wrote:
I'm trying to compute the angle between two vectors in three dimensional
space. For that, I need to use the scalar (dot) product , according to
a calculus book (quoting the book) I'm holding in my hands right now.
I've used dot()
On 12/19/2009 11:45 AM, Wayne Watson wrote:
A 4x1, 1x7, and 1x5 would be examples of a 1D array or matrix, right?
Are you saying that instead of using a rotational matrix ...
that I should use a 2-D array for rotCW? So why does numpy have a matrix
class? Is the class only used when working
On Sat, Dec 19, 2009 at 9:45 AM, Wayne Watson
sierra_mtnv...@sbcglobal.netwrote:
Dag Sverre Seljebotn wrote:
Wayne Watson wrote:
I'm trying to compute the angle between two vectors in three dimensional
space. For that, I need to use the scalar (dot) product , according to
a calculus
Yes, flat sounds useful here. However, numpy isn't bending over
backwards to tie in conventional mathematical language into it.
I don't recall flat in any calculus books. :-) Maybe I've been away so
long from it, that it is a common math concept? Although I doubt that.
Alan G Isaac wrote:
On
On Sat, Dec 19, 2009 at 10:38 AM, Wayne Watson sierra_mtnv...@sbcglobal.net
wrote:
Yes, flat sounds useful here. However, numpy isn't bending over
backwards to tie in conventional mathematical language into it.
I don't recall flat in any calculus books. :-) Maybe I've been away so
long from
OK, so what's your recommendation on the code I wrote? Use shape 0xN?
Will that eliminate the need for T?
I'll go back to Tenative Python, and re-read dimension, shape and the like.
Charles R Harris wrote:
On Sat, Dec 19, 2009 at 9:45 AM, Wayne Watson
sierra_mtnv...@sbcglobal.net
That's for sure! :-)
Charles R Harris wrote:
On Sat, Dec 19, 2009 at 10:38 AM, Wayne Watson
sierra_mtnv...@sbcglobal.net mailto:sierra_mtnv...@sbcglobal.net
wrote:
Yes, flat sounds useful here. However, numpy isn't bending over
backwards to tie in conventional mathematical
Wayne Watson wrote:
Yes, flat sounds useful here. However, numpy isn't bending over
backwards to tie in conventional mathematical language into it.
exactly -- it isn't bending over at all! (well a little -- see below).
numpy was designed for general purpose computational needs, not any one
I guess I'll become accustomed to it over time. I have some interesting
things to do for which I will need the facilities of numpy.
I realized where I got into trouble with some of this. I was not
differentiating between the dimensionality of space and that of a matrix
or array. I haven't had
On Sat, Dec 19, 2009 at 11:50 AM, Wayne Watson sierra_mtnv...@sbcglobal.net
wrote:
I guess I'll become accustomed to it over time. I have some interesting
things to do for which I will need the facilities of numpy.
I realized where I got into trouble with some of this. I was not
Christopher Barker wrote:
Wayne Watson wrote:
Yes, flat sounds useful here. However, numpy isn't bending over
backwards to tie in conventional mathematical language into it.
exactly -- it isn't bending over at all! (well a little -- see below).
numpy was designed for general
I think the bottom line is: _only_ use the matrix class if _all_
you're doing is matrix algebra - which, as Chris Barker said, is
(likely) the exception, not the rule, for most numpy users. I feel
confident in saying this (that is, _only_ ... _all_) because if you
feel you really must have a
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