from java.awt import *
from java.util import Random
from jhplot import * 

def applyStyleGray(c1,f1,h1,p1):

     style="Presentation style"
     st = Font.BOLD + Font.ITALIC;
     f = Font("Serif",st,14);

     c1.setAntiAlias(True) 
     c1.setGTitle(style,f,Color.red)    
     c1.setNameX("X values",Font("Serif", Font.ITALIC, 20),Color.blue)
     c1.setNameY("Y values",Font("Serif", Font.ITALIC, 20),Color.blue)
     c1.setTicFont(Font("Serif", Font.ITALIC, 14)) 
     c1.setAxisPenTicWidth(1) 
     c1.setGridAll(0,True)
     c1.setGridAll(1,True)

     f1.setColor(Color.blue)
     f1.setPenWidth(3)

     # apply style for histogram
     h1.setFill(1)
     h1.setPenWidth(2)
     h1.setErrX(0)
     h1.setErrY(1)
     h1.setFillColor( Color(0xFF0096)  )

     # apply style for data points 
     p1.setSymbol(4)
     p1.setSymbolSize(6)
     p1.setColor( Color.green ) 
     return style 


# make empty canvas in some range
c1 =HPlot("Canvas")
c1.visible()
c1.setLegend(0)
c1.setRange(0,100,0,100)
c1.setMarginLeft(70)

h1 = H1D("Histogram",20, 50.0, 100.0)
f1=F1D("cos(x)*x",1,50)
p1= P1D("X-Y data")

rand = Random(10)
for i in range(500):
      h1.fill(85+10*rand.nextGaussian())
      if (i<200): p1.add(56+7*rand.nextGaussian(),70+7*rand.nextGaussian())
        

# apply style 
style=applyStyleGray(c1,f1,h1,p1)


## now put a few points
c1.draw(f1)
c1.draw(h1)
c1.draw(p1)


# draw keys 
f=Font("Serif", Font.ITALIC, 18)
k=HKey(h1.getTitle(),0.2,0.8,f,Color.black,"NDC",h1 ) 
k.setKeySpace(-2) 
c1.add(k)

k=HKey(p1.getTitle(),0.2,0.75,f,Color.black,"NDC",p1 )                    
k.setKeySpace(2)
c1.add(k)

k=HKey(f1.getTitle(),0.2,0.7,f,Color.black,"NDC",f1 )
k.setKeySpace(-2)
c1.add(k)

# now show all objects
c1.update();

import sys
expfile=sys.argv[0].replace(".py",".png")
c1.export(expfile)