c1.setName("Pie example")
c1.valuePie("Hamburg", 1.0)
c1.valuePie("London", 2.0)
c1.valuePie("Paris", 1.0)
c1.valuePie("Bern", 1.0)
c1.update()
# new plot
c1.cd(1, 2)
c1.setName("XY example")
c1.setNameX("weeks")
c1.setNameY("density")
p1 = P1D("test 1")
p1.setColor(Color.red)
p2 = P1D("test 2")
# fill
rand = Random()
for i in range(10):
x = 4.0 * i # x-value
p1.add(i * 4, 10.0 * rand.nextGaussian())
p2.add(i * 2, 5.0 * rand.nextGaussian())
c1.add(p1)
c1.add(p2)
c1.update()
# c1.export("a.eps")
# export to some image (png,eps,pdf,jpeg...)
# c1.export(Editor.DocMasterName()+".png")
c1 = HChart("Canvas",600,500, 2, 1)
c1.setGTitle("Polar coordinates")
c1.visible()
c1.cd(1,1)
c1.setName("Polar coordinates-I")
c1.setChartPolar()
p1= P1D("test 1")
p2= P1D("test 2")
# fill
rand = Random()
for i in range(20):
x=4.0*i # x-value
p1.add(i*4, 10.0*rand.nextGaussian());
p2.add(i*2, 5.0*rand.nextGaussian());
c1.add(p1)
c1.add(p2)
c1.update()
c1.cd(2,1)
p3= P1D("Example")
for i in range(0,3*360,5):
p3.add( 90-i,i)
c1.setChartPolar()
c1.setName("Polar coordinates-II")
c1.add(p3)
c1.update()
# export to some image (png,eps,pdf,jpeg...)
# c1.export(Editor.DocMasterName()+".png")
c1 = HChart("Canvas", 600, 500, 2, 1)
c1.setGTitle("Polar coordinates")
c1.visible()
c1.cd(1, 1)
c1.setName("Polar coordinates-I")
c1.setChartPolar()
p1 = P1D("test 1")
p2 = P1D("test 2")
# fill
rand = Random()
for i in range(20):
x = 4.0 * i # x-value
p1.add(i * 4, 10.0 * rand.nextGaussian())
p2.add(i * 2, 5.0 * rand.nextGaussian())
c1.add(p1)
c1.add(p2)
c1.update()
c1.cd(2, 1)
p3 = P1D("Example")
for i in range(0, 3 * 360, 5):
p3.add(90 - i, i)
c1.setChartPolar()
c1.setName("Polar coordinates-II")
c1.add(p3)
c1.update()
# export to some image (png,eps,pdf,jpeg...)
# c1.export(Editor.DocMasterName()+".png")
