Demonstraton of static versus dynamic histograms. Also demonstrates taking difference between two histograms and plotting it. @author Paul F. Kunz <*****@*****.**> """ import random from time import sleep from load_hippo import app, canvas from hippo import Display, NTuple, NTupleController # Create static histogram and add it to canvas. sthist = Display ( "Static Histogram" ) sthist.setTitle ( "Gaussian Distribution (static hist)" ) sthist.setLabel ( 'x', 'X' ) sthist.setRange ( 'x', 0, 100) sthist.setBinWidth ( 'x', 1. ) canvas.addDisplay ( sthist ) # Create second static histogram and add it to canvas sthists = Display ( "Static Histogram" ) sthists.setTitle ( "Gaussian Distribution (low statistics)" ) sthists.setLabel ( 'x', 'X' ) sthists.setRange ( 'x', 0, 100) sthists.setBinWidth ( 'x', 1. ) canvas.addDisplay ( sthists ) # Create empty NTuple and set the column label. # Setting the column labels sets the number of columns
"""
Demonstrates making simple XY plot.
author Paul F. Kunz <*****@*****.**>
"""
#
# load the HippoDraw module
#
from load_hippo import app, canvas
from hippo import Display
# Create list of data
energy = [90.74, 91.06, 91.43, 91.50, 92.16, 92.22, 92.96, 89.24, 89.98, 90.35]
sigma = [29.0, 30.0, 28.40, 28.80, 21.95, 22.90, 13.50, 4.50, 10.80, 24.20]
errors = [5.9, 3.15, 3.0, 5.8, 7.9, 3.1, 4.6, 3.5, 4.6, 3.6]
# make a plot to test it.
xy = Display("XY Plot", [energy, sigma, errors],
['Energy', 'Sigma', 'nil', 'error'])
canvas.addDisplay(xy)
xy.setTitle('Mark II Z0 scan')
print "An XY plot is now displayed. You can use the Inspector dialog"
print "to modify the appearance or fit a function to it."
"""
Demonstrates making simple XY plot.
author Paul F. Kunz <*****@*****.**>
"""
#
# load the HippoDraw module
#
from load_hippo import app, canvas
from hippo import Display
# Create list of data
energy = [90.74, 91.06, 91.43, 91.50, 92.16, 92.22, 92.96, 89.24, 89.98, 90.35]
sigma = [ 29.0, 30.0, 28.40, 28.80, 21.95, 22.90, 13.50, 4.50, 10.80, 24.20]
errors = [ 5.9, 3.15, 3.0, 5.8, 7.9, 3.1, 4.6, 3.5, 4.6, 3.6]
# make a plot to test it.
xy = Display ( "XY Plot", [ energy, sigma, errors ],
['Energy', 'Sigma', 'nil', 'error' ] )
canvas.addDisplay ( xy )
xy.setTitle ( 'Mark II Z0 scan' )
print "An XY plot is now displayed. You can use the Inspector dialog"
print "to modify the appearance or fit a function to it."