Using uproot to open ROOT files
Last updated on 2024-07-09 | Edit this page
Overview
Questions
- How do I open a ROOT file with uproot?
- How do I explore what is in the file?
Objectives
- Use a different library than ROOT to open ROOT files
- Get comfortable with a different way of examining ROOT files
Other resources
Before we go any further, we point out that this episode and the next
are only the most basic introductions to uproot
and awkward
. There is a plethora of material that go much
deeper and we list just a few here.
How to type these commands?
Now that you’ve installed the necessary python modules in your
my_python
container you can choose to write and execute the
code however you like. There are a number of options, but we will point
out two here.
-
Jupyter notebook. This provides an editor and an evironment in which to run your python code. Often you will run the code one cell at a time, but you could always put all your code in one cell if you prefer. There are many, many tutorials out there on using Jupyter notebooks and if you chose to use Jupyter as your editing/executing environment that you have developed some familiarity with it.
- In the
my_python
container, you can startjupyter-lab
with
and open the link given in the message on your browser. Choose the icon under “Notebook”.
- In the
Python scripts. In this approach, you edit the equivalent of a text file and then pass that text file into a python interpreter. For example, if you edited a file called
hello_world.py
such that it contained
You could save the file and then (perhaps in another Terminal window), execute
This would interpret your text file as python commands and produce the output
OUTPUT
Hello world!
We leave it to you to decide which approach you prefer.
Open a file
Let’s open a ROOT file! If you’re writing a python script, let’s call
it open_root_file.py
and if you’re using a Jupyter
notebook, let’s call it open_root_file.ipynb
. If you are
working in the container, you will open and edit the python
script on your local computer and run it in the container, or
you will open a notebook on your jupyter-lab window in the browser.
First we will import the uproot
library, as well as some
other standard libraries. These can be the first lines of your python
script or the first cell of your Jupyter notebook.
If this is a script, you may want to run
python open_root_file.py
every few lines or so to see the
output. If this is a Jupyter notebook, you will want to put each snippet
of code in its own cell and execute them as you go to see the
output.
Let’s open the file! We’ll make use of uproot
s use of XRootD to read in the file
over the network. This will save us from having to download the
file.
PYTHON
infile_name = 'root://eospublic.cern.ch//eos/opendata/cms/derived-data/AOD2NanoAODOutreachTool/ForHiggsTo4Leptons/SMHiggsToZZTo4L.root'
infile = uproot.open(infile_name)
Download the file?
If too many people are trying to open the same file, it may be easier to download the file to your laptop. You can execute the following command in the bash terminal.
PYTHON
curl http://opendata.cern.ch/record/12361/files/SMHiggsToZZTo4L.root --output SMHiggsToZZTo4L.root
Alternatively, you can follow this link to the data record on the CERN Open Data Portal. If you scroll down to the bottom of the page and click the Download button.
For the remainder of this tutorial you will want the file to be in the same directory/folder as your python code, whether you are using a Jupyter notebook or a simple python script. So make sure you move this file to that location after you have downloaded it.
To read in the file, you’ll change one line to define the input file to be
Investigate the file
So you’ve opened the file with uproot
. What is this
infile
object? Let’s add the following code
and we get
OUTPUT
<class 'uproot.reading.ReadOnlyDirectory'>
We can interface with this object similar to how we would interface with a python dictionary.
OUTPUT
['Events;1']
But what is this?
OUTPUT
<class 'uproot.models.TTree.Model_TTree_v20'>
Ah, this is the TTree
object that we learned a bit about
in the previous episodes! Let’s see what’s in it!
PYTHON
branches = infile['Events'].keys()
for branch in branches:
print(f"{branch:20s} {infile['Events'][branch]}")
OUTPUT
run <TBranch 'run' at 0x7faa76d2cdd8>
luminosityBlock <TBranch 'luminosityBlock' at 0x7faa76d2cda0>
event <TBranch 'event' at 0x7faa76d13748>
PV_npvs <TBranch 'PV_npvs' at 0x7faa76d13e10>
PV_x <TBranch 'PV_x' at 0x7faa76d194e0>
PV_y <TBranch 'PV_y' at 0x7faa76d19ba8>
PV_z <TBranch 'PV_z' at 0x7faa76d212b0>
nMuon <TBranch 'nMuon' at 0x7faa76d21978>
Muon_pt <TBranch 'Muon_pt' at 0x7faa76d5c080>
Muon_eta <TBranch 'Muon_eta' at 0x7faa76d5c6d8>
Muon_phi <TBranch 'Muon_phi' at 0x7faa76d5ccc0>
Muon_mass <TBranch 'Muon_mass' at 0x7faa76d582e8>
Muon_charge <TBranch 'Muon_charge' at 0x7faa76d588d0>
Muon_pfRelIso03_all <TBranch 'Muon_pfRelIso03_all' at 0x7faa76d58eb8>
Muon_pfRelIso04_all <TBranch 'Muon_pfRelIso04_all' at 0x7faa76d4e4e0>
Muon_dxy <TBranch 'Muon_dxy' at 0x7faa76d4eac8>
Muon_dxyErr <TBranch 'Muon_dxyErr' at 0x7faa7443a0f0>
Muon_dz <TBranch 'Muon_dz' at 0x7faa7443a6d8>
Muon_dzErr <TBranch 'Muon_dzErr' at 0x7faa7443ad30>
nElectron <TBranch 'nElectron' at 0x7faa74442358>
Electron_pt <TBranch 'Electron_pt' at 0x7faa74442940>
Electron_eta <TBranch 'Electron_eta' at 0x7faa74442f28>
Electron_phi <TBranch 'Electron_phi' at 0x7faa7444a550>
Electron_mass <TBranch 'Electron_mass' at 0x7faa7444ab38>
Electron_charge <TBranch 'Electron_charge' at 0x7faa74451160>
Electron_pfRelIso03_all <TBranch 'Electron_pfRelIso03_all' at 0x7faa74451748>
Electron_dxy <TBranch 'Electron_dxy' at 0x7faa74451d30>
Electron_dxyErr <TBranch 'Electron_dxyErr' at 0x7faa74459358>
Electron_dz <TBranch 'Electron_dz' at 0x7faa74459940>
Electron_dzErr <TBranch 'Electron_dzErr' at 0x7faa74459f28>
MET_pt <TBranch 'MET_pt' at 0x7faa7445f550>
MET_phi <TBranch 'MET_phi' at 0x7faa7445fbe0>
There are multiple syntax you can access each of these branches.
PYTHON
pt = infile['Events']['Muon_pt']
# or
pt = infile['Events/Muon_pt']
# or
pt = events.Muon_pt
# or
pt = events['Muon_pt']
We’ll use that last one for this lesson just to save some typing. :)
In the next episode we’ll use the awkward
array object
when we extract these data and see how we can use awkward
in a standard-but-slow way or in a clever-and-fast way!
Key Points
- You can use uproot to interface with ROOT files which is often easier than installing the full ROOT ecosystem.