Example of plotting lines with pyvisi
This is the original code used to develop the plplot renderer module
"""
# set up some data to plot
from Numeric import *
x = arange(10, typecode=Float)
y = x**2
import plplot
plplot.plsdev("xwin")
plplot.plinit()
plplot.plenv(min(x), max(x), min(y), max(y), 0, 1)
plplot.pllab("x", "x**2", "Example 2D plot")
plplot.plline(x, y)
plplot.plend()
# to save as well, have to set everything up again, and replot
# save as png
plplot.plsdev("png")
plplot.plsfnam("simplePlotExample.png")
plplot.plinit()
plplot.plenv(min(x), max(x), min(y), max(y), 0, 1)
plplot.pllab("x", "x**2", "Example 2D plot")
plplot.plline(x, y)
plplot.plend()
# save as postscript
# sides of box in normalised coordinates
# (these are values recommended by plplot in an example)
basex = 2.0
basey = 4.0
height = 3.0
# angle to view box
alt = 45.0
az = 30.0
side = 1
opt = 3 # plots a net of lines
plplot.plsdev("xwin")
plplot.plinit()
plplot.plenv(xMin2D, xMax2D, yMin2D, yMax2D, 0, -2)
plplot.plw3d(basex, basey, height,
xMin, xMax, yMin, yMax, zMin, zMax,
alt, az)
plplot.plmtex("t", 1.0, 0.5, 0.5, "Example surface plot")
plplot.plbox3("bnstu", "x axis", 0.0, 0,
"bnstu", "y axis", 0.0, 0,
"bcdmnstuv", "z axis", 0.0, 0)
plplot.plsurf3d(x, y, z, 0, ())
plplot.plend()
# to save as well, have to set everything up again, and replot
# save as png
plplot.plsdev("png")
plplot.plsfnam("surfacePlot.png")
plplot.plinit()
def plenv(x1, x2, y1, y2, just, axis):
if PLPLOT:
plg.plenv(x1,x2,y1,y2,just,axis)
else:
plg.pgenv(x1,x2,y1,y2,just,axis)
for i in range(len(x)):
for j in range(len(y)):
z[i,j] = x[i]*exp(-x[i]*x[i] - y[j]*y[j])
import plplot
# determine the min and max of x
xMin = min(x)
xMax = max(x)
yMin = min(y)
yMax = max(y)
plplot.plsdev("xwin")
plplot.plinit()
plplot.plenv(xMin, xMax, yMin, yMax, 0, 1)
plplot.pllab("x", "y", "Example shaded contour plot")
plshades(zz, shedge, fill_width, 1, pltr1, xg1, yg1)
zmin = min(zz.flat)
zmax = max(zz.flat)
clevel = zmin + (zmax - zmin) * (arrayrange(NS)+0.5)/NS
shedge = zmin + (zmax - zmin) * (arrayrange(NS+1))/NS
plplot.plend()
# to save as well, have to set everything up again, and replot
# save as png
plplot.plsdev("png")
plplot.plsfnam("contourPlot.png")
