On Sun, 13 Apr 2008, "James A. Bednar" apparently wrote:
> def matrixplot3d(mat,title=None):
> fig = pylab.figure()
> ax = axes3d.Axes3D(fig)
> # Construct matrices for r and c values
> rn,cn = mat.shape
> c = outer(ones(rn),arange(cn*1.0))
> r = outer(arange(rn*1.0),ones(c
sa6113 wrote:
> Dear All,
>
> I have a problem using polyfit with a degree greater than 118 :
The problem is that polynomial fitting generally doesn't make sense for
degree higher than 4 or 5--if that--and at very high degree it is
inevitable that the matrix will become singular. In other words
Christopher Brown wrote:
> With mpl 0.91.2, the markeredgewidth property does not seem to have an
> effect when using the pdf backend (seems to always be 1, regardless of
> what I set it to, and it seems to be fine with other backends). Here is
> a minimal example:
Interestingly, the error only
On Sat, May 3, 2008 at 3:11 AM, sa6113 <[EMAIL PROTECTED]> wrote:
>
> Dear All,
>
> I have a problem using polyfit with a degree greater than 118 :
>
> The code is :
> matplotlib.mlab.polyfit( x, y, pow ) # pow is degree of polynomial
>
> for pow in range 118 and 238 the error is :
> LinA
Dear All,
I have a problem using polyfit with a degree greater than 118 :
The code is :
matplotlib.mlab.polyfit( x, y, pow ) # pow is degree of polynomial
for pow in range 118 and 238 the error is :
LinAlgError, 'singular martix'
and for pow greater than 237 this error raise :
OverflowErro
