예제 #1
0
파일: fit1.py 프로젝트: vgvassilev/root 
#
# The function "ls()" lists the directory contents of this file
#
fill.ls()

#
# Get object "sqroot" from the file.
#

sqroot = gROOT.FindObject( 'sqroot' )
sqroot.Print()

#
# Now fit histogram h1f with the function sqroot
#
h1f = gROOT.FindObject( 'h1f' )
h1f.SetFillColor( 45 )
h1f.Fit( 'sqroot' )

# We now annotate the picture by creating a PaveText object
# and displaying the list of commands in this macro
#
fitlabel = TPaveText( 0.6, 0.3, 0.9, 0.80, 'NDC' )
fitlabel.SetTextAlign( 12 )
fitlabel.SetFillColor( 42 )
fitlabel.ReadFile(path.join(str(gROOT.GetTutorialDir()), 'pyroot', 'fit1_py.py'))
fitlabel.Draw()
c1.Update()
gBenchmark.Show( 'fit1' )
예제 #2
0
from keras.regularizers import l2
from keras.optimizers import SGD

# Setup TMVA
TMVA.Tools.Instance()
TMVA.PyMethodBase.PyInitialize()

output = TFile.Open('TMVA.root', 'RECREATE')
factory = TMVA.Factory(
    'TMVAClassification', output,
    '!V:!Silent:Color:DrawProgressBar:Transformations=D,G:AnalysisType=multiclass'
)

# Load data
if not isfile('tmva_example_multiple_background.root'):
    createDataMacro = str(gROOT.GetTutorialDir()) + '/tmva/createData.C'
    print(createDataMacro)
    gROOT.ProcessLine('.L {}'.format(createDataMacro))
    gROOT.ProcessLine('create_MultipleBackground(4000)')

data = TFile.Open('tmva_example_multiple_background.root')
signal = data.Get('TreeS')
background0 = data.Get('TreeB0')
background1 = data.Get('TreeB1')
background2 = data.Get('TreeB2')

dataloader = TMVA.DataLoader('dataset')
for branch in signal.GetListOfBranches():
    dataloader.AddVariable(branch.GetName())

dataloader.AddTree(signal, 'Signal')
예제 #3
0
#
# The function "ls()" lists the directory contents of this file
#
fill.ls()

#
# Get object "sqroot" from the file.
#

sqroot = gROOT.FindObject('sqroot')
sqroot.Print()

#
# Now fit histogram h1f with the function sqroot
#
h1f = gROOT.FindObject('h1f')
h1f.SetFillColor(45)
h1f.Fit('sqroot')

# We now annotate the picture by creating a PaveText object
# and displaying the list of commands in this macro
#
fitlabel = TPaveText(0.6, 0.3, 0.9, 0.80, 'NDC')
fitlabel.SetTextAlign(12)
fitlabel.SetFillColor(42)
fitlabel.ReadFile(
    path.join(str(gROOT.GetTutorialDir()), 'pyroot', 'fit1_py.py'))
fitlabel.Draw()
c1.Update()
gBenchmark.Show('fit1')