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from Numeric import *
from plplot import *
XPTS = 35 # Data points in x
YPTS = 46 # Data points in y
opt = [3, 3]
alt = [33.0, 17.0]
az = [24.0, 115.0]
title = ["#frPLplot Example 11 - Alt=33, Az=24, Opt=3",
"#frPLplot Example 11 - Alt=17, Az=115, Opt=3"]
# Routine for restoring colour map1 to default.
# See static void plcmap1_def(void) in plctrl.c for reference.
def restore_cmap1():
# For center control points, pick black or white, whichever is closer to bg
# Be careful to pick just short of top or bottom else hue info is lost
vertex = sum(array(plgcolbg()))/(3.*255.)
if vertex < 0.5:
vertex = 0.01
midpt = 0.10
else:
vertex = 0.99
midpt = 0.90
# Independent variable of control points.
i = array((0., 0.44, 0.50, 0.50, 0.56, 1.))
# Hue for control points. Blue-violet to red
h = array((260., 260., 260., 0., 0., 0.))
# Lightness ranging from medium to vertex to medium
l = array((0.5, midpt, vertex, vertex, midpt, 0.5))
# Saturation is complete for default
s = array((1., 1., 1., 1., 1., 1.))
# Integer flag array is zero (no interpolation along far-side of colour
# figure.)
rev = array((0, 0, 0, 0, 0, 0))
# Default number of cmap1 colours
plscmap1n(128)
# Interpolate between control points to set up default cmap1.
plscmap1l(0, i, h, l, s, rev)
# Routine for defining a specific color map 1 in HLS space.
# if gray is true, use basic grayscale variation from half-dark to light.
# otherwise use false color variation from blue (240 deg) to red (360 deg).
def cmap1_init(gray):
# Independent variable of control points.
i = array((0., 1.))
if gray:
# Hue for control points. Doesn't matter since saturation is zero.
h = array((0., 0.))
# Lightness ranging from half-dark (for interest) to light.
l = array((0.5, 1.))
# Gray scale has zero saturation
s = array((0., 0.))
else:
# Hue ranges from blue (240 deg) to red (0 or 360 deg)
h = array((240., 0.))
# Lightness and saturation are constant (values taken from C example).
l = array((0.6, 0.6))
s = array((0.8, 0.8))
# Integer flag array is zero (no interpolation along far-side of colour
# figure.)
rev = array((0, 0))
# number of cmap1 colours is 256 in this case.
plscmap1n(256)
# Interpolate between control points to set up cmap1.
plscmap1l(0, i, h, l, s, rev)
# main
#
# Does a series of mesh plots for a given data set, with different
# viewing options in each plot.
def main():
x = 3.*(arrayrange(XPTS) - (XPTS / 2)) / float(XPTS / 2)
y = 3.*(arrayrange(YPTS) - (YPTS / 2)) / float(YPTS / 2)
x.shape = (-1,1)
z = 3. * (1.-x)*(1.-x) * exp(-(x*x) - (y+1.)*(y+1.)) - \
10. * (x/5. - pow(x,3.) - pow(y,5.)) * exp(-x*x-y*y) - \
1./3. * exp(-(x+1)*(x+1) - (y*y))
# if 0: #Jungfraujoch/Interlaken
# Not sure this is correct coding for truncating at -1, but
# not activated anyway so ignore this question for now.
# z = max(z,-1)
x.shape = (-1,)
zmin = min(z.flat)
zmax = max(z.flat)
nlevel = 10
step = (zmax-zmin)/(nlevel+1)
clevel = zmin + step + arange(nlevel)*step
cmap1_init(0)
for k in range(2):
for i in range(4):
pladv(0)
plcol0(1)
plvpor(0.0, 1.0, 0.0, 0.9)
plwind(-1.0, 1.0, -1.0, 1.5)
plw3d(1.0, 1.0, 1.2, -3.0, 3.0, -3.0, 3.0, zmin, zmax, alt[k], az[k])
plbox3("bnstu", "x axis", 0.0, 0,
"bnstu", "y axis", 0.0, 0,
"bcdmnstuv", "z axis", 0.0, 4)
plcol0(2)
#wireframe plot
if i==0:
plmesh(x, y, z, opt[k])
# magnitude colored wireframe plot
elif i==1:
plmesh(x, y, z, opt[k] | MAG_COLOR)
# magnitude colored wireframe plot with sides
elif i==2:
plot3d(x, y, z, opt[k] | MAG_COLOR, 1)
# magnitude colored wireframe plot with base contour
elif i==3:
plmeshc(x, y, z, opt[k] | MAG_COLOR | BASE_CONT, clevel)
plcol0(3)
plmtex("t", 1.0, 0.5, 0.5, title[k])
# Restore defaults
plcol0(1)
restore_cmap1()
main()
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