Curtis,
Thank you for the prompt response.
Yes, it is now working.
Many thanks for your advice.
Tune Kamae
----- Original Message -----
From: "Curtis Cooper" <curtis@...>
To: "Tune Kamae" <kamae@...>
Cc: <plplot-general@...>
Sent: Saturday, December 04, 2004 9:37 PM
Subject: Re: [Plplot-general] RGB mapping for plsmap1
> I think the PLplot colormap setting functions expect color ranges clamped
> between [0,1].
>
> Cheers,
> Curtis
>
>
>
> * * * * * * * * * * * * * * * * * * * * * * * * * * * *
> * Curtis S. Cooper, Graduate Research Assistant *
> * Lunar and Planetary Laboratory, University of Arizona *
> * http://www.lpl.arizona.edu/~curtis/ *
> * Kuiper Space Sciences, Rm. 318 *
> * 1629 E. University Blvd., *
> * Tucson, AZ 85721 * * * * * * * * * * * * * * *
> * Wk: (520) 621-1471 *
> * * * * * * * * * * * *
>
> On Sat, 4 Dec 2004, Tune Kamae wrote:
>
> > Dear PLplot experts,
> >
> > I have been using PLplot through python/numarray to plot
> > astronomical intensity maps in false color for 2 years.
> > Ever since I wrote the first shaded contour plot, I have
> > been wishing to improve the contrasts and the dynamic
> > range of the Hue mapping. I came up with an inproved
> > mapping using RGB (can also be in HSV) by making
> > the function non0linear. This requires many reference
> > points (eg. 20 points).
> >
> > Following the manual description on plshades and
> > the python example xw11.py, I wrote the following
> > cmap1_init_3D. But it doesn't work.
> >
> > I would appreciate any guidance or suggestion.
> >
> > T. Kamae, Stanford Linear Accelerator Center.
> >
>
> --------------------------------------------------------------------------
--
> > # Color map 1 in RGB space for plot3D
> > # (from plplot/examples/python/xw11.py)
> >
> > def cmap1_init_3D(self, gray):
> > """Routine for defining a specific color map 1 in
> > RGB space. If gray is true, use basic grayscale
> > variation from half-dark to light. Otherwise use
> > a parameteized mapping to R(z), G(z), and B(z) where
> > z=[0,1]. i=0 corresponds to z=1.0, the brightest
> > color for this implementation.
> > """
> >
> > # Independent variable of control points.
> > i = arange(0.0, 1.05, 0.05)
> > if gray:
> > # Red for control points.
> > r = arange(241.0, 0.0, -12.0)
> > # Green for control points.
> > g = arange(241.0, 0.0, -12.0)
> > # Blue for control points.
> > b = arange(241.0, 0.0, -12.0)
> > else:
> > z=arange(1.0,1.05,0.05)
> > z[20]=1.0
> > # Red for control points.
> > r = 113.9*sin(7.64*z**1.705+0.701)-916.1*(z+1.755)**1.862\
> > +3587.9*z+2563.4
> > rr = clip(r,0.0,255.0)
> > # Green for control points.
> > g = 70.0*sin(8.7*z**1.26-2.418)+151.7*z**0.5+70.0
> > gg = clip(g,0.0,255.0)
> > # Blue for control points.
> > b = 194.5*z**2.88+99.72*exp(-77.24*(z-0.742)**2)\
> > +45.40*z**0.089+10.0
> > bb = clip(b,0.0,255.0)
> >
> > # Integer flag array is zero (no interpolation along far-side
> > # of colour figure.)
> > rev = array([0]+[1]*19+[0])
> > # number of cmap1 colours is 256 in this case.
> > # smaller the number of colours, the clearer the z contour
> > #plscmap1n(256)
> > plscmap1n(21)
> > # Interpolate between control points to set up cmap1.
> > plscmap1l(1, i, rr, gg, bb, rev)
> >
> >
> >
> >
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>
>
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