On 05/05/2011 08:53 PM, Robbeloth, Michael C CTR USAF AFMC AFRL/RBSD wrote:
> Everything just plots nicely for me in gnuplot, but despite fighting
> with various settings for viewports, windows, and boxes, I cannot
> recreate the same plot using plplot. If someone could give me some
> pointers, that would be great. I have also looked at example 18 and tied
> to follow its structure without success. Thank you.
The Python program below should give you roughly the same thing, though
I'm not sure exactly which feature of gnuplot plot you were trying to
recreate. The trick to getting the box at the bottom of the plot is that
you have draw it yourself.
-Hazen
#!/usr/bin/python
import numpy
import plplot
plplot.plsdev("xwin")
xmin = -0.0012
xmax = 0.0
ymin = -6.0e-6
ymax = 1.0e-5
zmin = -0.015
zmax = 0.015
plplot.plinit()
plplot.pladv(0)
plplot.plvpor(0.0, 1.0, 0.0, 0.9)
plplot.plwind(-1.0, 1.0, -0.9, 1.1)
plplot.plcol0(1)
#plplot.plw3d(1.0, 1.0, 1.0, -6.0e-6, 1.0e-5, -0.0012, 0.0, -0.015,
0.015, 60.0, 30.0)
plplot.plw3d(1.0, 1.0, 1.0, xmin, xmax, ymin, ymax, zmin, zmax, 60.0, 30.0)
plplot.plbox3("bnstu", "dx", 0.0, 0,
"bnstu", "dy", 0.0, 0,
"bcmnstuv", "dz", 0.0, 0)
plplot.plcol0(2)
x = numpy.array([0.0,
-6.33650180773E-6,
-3.62627138539E-4,
-0.00103258513631,
-2.34646337412E-4,
-2.89297149949E-5,
-3.13846138408E-5,
-1.34158756145E-4,
-0.00101444403037,
-5.37220447035E-4,
-5.26252760973E-5])
y = numpy.array([0.0,
-3.59507699157E-7,
9.64261859507E-7,
7.0062247613E-6,
6.6877122162E-7,
-5.09248661184E-6,
2.14817952244E-7,
-4.13839696473E-6,
6.98171994971E-6,
9.42137453306E-6,
-3.03673906032E-6])
z = numpy.array([0.0,
-0.00108860742542,
-0.0077658642054,
-0.013047247334,
-0.00622592559896,
0.00223425348094,
0.00229304110169,
0.00479188197301,
0.0129021598223,
0.00939036903997,
-0.00295768205803])
plplot.plline3(x, y, z)
plplot.plcol0(3)
plplot.plmtex("t", 1.0, 0.5, 0.5, "Tip Deflection")
plplot.plcol0(1)
meshx = numpy.array([xmin, xmax])
meshy = numpy.array([ymin, ymax])
meshz = numpy.zeros((2,2)) + zmin
plplot.plmesh(meshx, meshy, meshz, plplot.DRAW_LINEXY)
plplot.plend()
------------------------------------------------------------------------------
WhatsUp Gold - Download Free Network Management Software
The most intuitive, comprehensive, and cost-effective network
management toolset available today. Delivers lowest initial
acquisition cost and overall TCO of any competing solution.
http://p.sf.net/sfu/whatsupgold-sd
_______________________________________________
Plplot-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/plplot-general
