Interactive non-linear fit using HFit
Code: "fit_interactive.py". Programming language: Python DMelt Version 1. Last modified: 12/08/2015. License: Pro
https://datamelt.org/code/cache/fit_interactive_1531.py
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from java.awt import Color
from java.util import Random
from jhplot  import *


c1 = HPlot("Canvas",600,400,1, 1)
c1.setGTitle("Global labels: F_{2} ,  x_{γ}  #bar{p}p F_{2}^{c#bar{c}}"); #put title
c1.visible(1)
c1.setAutoRange()

h1 = H1D("Simple1",20, -2.0, 2.0)
rand = Random()
# fill histogram
for i in range(100):
      h1.fill(rand.nextGaussian())

c1.draw(h1)

# fit interactively this histogram
# pass objects and names (for code generation) 
a=HFit(c1,"c1",h1,"h1")

# add a user function if you want to
a.addFunc("User1", "Tooltip", "a*x[0]+b","a,b")

#
# after you did the fit, press "generate source".
# JAIDA source code will be appended in this file

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