#!/usr/bin/env python
# coding: utf-8

# # fit1
# Fit example.
# 
# 
# 
# 
# **Author:** Wim Lavrijsen  
# <i><small>This notebook tutorial was automatically generated with <a href= "https://github.com/root-project/root/blob/master/documentation/doxygen/converttonotebook.py">ROOTBOOK-izer</a> from the macro found in the ROOT repository  on Wednesday, April 17, 2024 at 11:16 AM.</small></i>

# In[1]:


import ROOT
from os import path
from ROOT import TCanvas, TFile, TPaveText
from ROOT import gROOT, gBenchmark

c1 = TCanvas( 'c1', 'The Fit Canvas', 200, 10, 700, 500 )
c1.SetGridx()
c1.SetGridy()
c1.GetFrame().SetFillColor( 21 )
c1.GetFrame().SetBorderMode(-1 )
c1.GetFrame().SetBorderSize( 5 )

gBenchmark.Start( 'fit1' )


# We connect the ROOT file generated in a previous tutorial

# In[2]:


File = "py-fillrandom.root"
if (ROOT.gSystem.AccessPathName(File)) :
    ROOT.Info("fit1.py", File+" does not exist")
    exit()

fill = TFile(File)


# The function "ls()" lists the directory contents of this file

# In[3]:


fill.ls()


# Get object "sqroot" from the file.

# In[4]:


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


# Now fit histogram h1f with the function sqroot

# In[5]:


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

# In[6]:


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' )


# Draw all canvases 

# In[7]:


from ROOT import gROOT 
gROOT.GetListOfCanvases().Draw()