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Article style with custom tick labels
Source code name: "style7.py"
Programming language: Python
Topic: Plots/2D
DMelt Version 1. Last modified: 05/09/2015. License: Pro
https://datamelt.org/code/cache/style7_1050.py
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import os,sys
from java.awt import *
from java.util import Random
from jhplot import *
from jplot import *
def applyStyleGray(c1,f1,h1,p1):
style="Article style with custom tick labels"
st = Font.BOLD + Font.ITALIC;
f = Font("Serif",st,14);
c1.setAntiAlias(True)
c1.setGTitle(style,f)
c1.setNameX("Time",Font("Serif", Font.ITALIC, 20))
c1.setNameY("Values",Font("Serif", Font.ITALIC, 20))
c1.setTicFont(Font("Serif", Font.ITALIC, 14))
c1.setAxisPenTicWidth(1)
c1.setGridAll(0,True)
c1.setGridAll(1,True)
c1.setSubTicNumber(0,1)
c1.setSubTicNumber(1,2)
c1.setTicsMirror(0,False)
c1.setTicsMirror(1,False)
c1.setTicLength(0,0.02)
c1.setTicLength(1,0.02)
c1.setMarginLeft(70)
f1.setColor(Color.black)
f1.setPenWidth(3)
# apply style for histogram
h1.setFill(1)
h1.setPenWidth(2)
h1.setErrX(0)
h1.setErrY(1)
h1.setFillColor( Color(0x787C80) )
# apply style for data points
p1.setSymbol(4)
p1.setSymbolSize(6)
p1.setColor( Color.black )
return style
# make empty canvas in some range
c1 =HPlot("Canvas")
c1.visible()
c1.setLegend(0)
c1.setRange(0,100,1,100)
c1.setMarginLeft(70)
h1 = H1D("Histogram",20, 50.0, 100.0)
f1=F1D("cos(x)*x",1,50)
f1.setPoints(5000)
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, 14)
k=HKey(h1.getTitle(),0.25,0.8,f,Color.black,"NDC",h1 )
k.setKeySpace(-2)
c1.add(k)
k=HKey(p1.getTitle(),0.25,0.75,f,Color.black,"NDC",p1 )
k.setKeySpace(2)
c1.add(k)
k=HKey(f1.getTitle(),0.25,0.7,f,Color.black,"NDC",f1 )
k.setKeySpace(-2)
c1.add(k)
# Tick replacement. Always do it after plotting objects, so you know
# the default ticks
# after final update, extract ticks
c1.setSubTicNumber(0,1) # reduce the number of subticks on X
gs=c1.getGraphSettings() # settings for this graph
gs.setAutomaticTicks(0,False) # do not want to recompute ticks for manual settings
listX=gs.getLabelTicks(0) # obtain list of labels for ticks
print "x=",listX
listX[0]="Jan"
listX[1]="Feb"
listX[2]="Mar"
listX[3]="Apr"
listX[4]="May"
listX[5]="Jun"
listX[6]="Jul"
listX[7]="Aug"
listX[8]="Sep"
listX[9]="Oct"
listX[10]="Nov"
gs.setLabelTicks(0,listX)
c1.update()
#import sys
#expfile=sys.argv[0].replace(".py",".png")
#c1.export(expfile)
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