Hi Eric,
This shows what I'm talking about:
--------------------
from pylab import *
delta = 0.025
x = arange(-3.0, 3.0, delta)
y = arange(-2.0, 2.0, delta)
X, Y = meshgrid(x, y)
Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
# difference of Gaussians
Z = 10.0 * (Z2 - Z1)
contourf(X, Y, sin(Y)*cos(X),
alpha=0.2)
hot()
contour(X, Y, Z, 6,
linewidths=4,
colors=('r', 'green', 'blue', (1,1,0), '#afeeee', '0.5'),
alpha=0.4)
show()
-------------------
On Thursday 31 August 2006 13:50, Eric Firing wrote:
> Scott,
>
> Please send a minimal example that I can use as a test case. This
> sounds vaguely familiar.
>
> Thanks.
>
> Eric
>
> Scott Ransom wrote:
> > Hi All,
> >
> > I'm using matplotlib (with agg backends) from recent svn:
> >
> > In [63]: matplotlib.__version__
> > Out[63]: '0.87.4'
> >
> > and I can't seem to get contour() or contourf() to utilize the
> > alpha keyword. No matter what value I set, alpha=1.0 on the
> > output. Alpha in general works fine, as the scatter_demo2.py
> > example gives very nicely alpha-channeled output.
> >
> > Any ideas? Thanks a bunch,
> >
> > Scott
--
Scott M. Ransom Address: NRAO
Phone: (434) 296-0320 520 Edgemont Rd.
email: [EMAIL PROTECTED] Charlottesville, VA 22903 USA
GPG Fingerprint: 06A9 9553 78BE 16DB 407B FFCA 9BFA B6FF FFD3 2989
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