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# What is this tool?
Let's all be frank, root sucks and the root file format is horrible.
It's among humanities worst pieces of software. With this small tool I hope to fix
the damage that was done, at least a little, by converting root files into
native Python formats.
It's using [Numpy](https://numpy.org) and a library called [Uproot](https://github.com/scikit-hep/uproot5)
to read and process these damn root files. So far it is specialist for one task
and I will have to work on it to make it actually viable for more use cases. That task
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is to extract PXD data from Belle 2 data files.
## How to use this?
This is a single class, that needs to be instantiated, it doesn't take any arguments.
Just import it like this:
> from rootable import Rootable
Then you can create an instance:
> loadFromRoot = Rootable()
and load the root file and all the data:
> loadFromRoot.loadData('/root-files/slow_pions_2.root')
> loadFromRoot.getClusters()
> loadFromRoot.genCoordisnate()
> loadFromRoot.getLayers()
> loadFromRoot.getMatrices()
> loadFromRoot.getMCData()
This commands don't have any return value, but instead work in-place.
Then all data is stored inside the object as dict:
> loadFromRoot.data
Here follows a list of keywords contained in the dict:
- cluster data:
- 'eventNumbers'
- 'clsCharge'
- 'seedCharge'
- 'clsSize'
- 'uSize'
- 'vSize'
- 'uPosition'
- 'vPosition'
- 'sensorID'
- coordinates:
- 'xPosition'
- 'yPosition'
- 'zPosition'
- layers:
- 'layers'
- 'ladder'
- matrices:
- 'cluster'
- Monte Carlo data:
- 'momentumX'
- 'momentumY'
- 'momentumZ'
- 'pdg'
- 'clsNumber'
Since the class is subscriptable one can access every element directly using the keywords
like this:
>
And finally you can convert the dict into a structured Numpy array by simply writing:
> loadFromRoot.loadFromRoot()
This last command returns a Numpy array. From there the user can save it using
Numpys build-in functions, convert it to Pandas or use it in any way that is
compatible with Numpy.
## Installation
Download the repo, navigate in the terminal to the folder and run the following script:
> python3 setup.py