@@ -92,10 +92,6 @@ They rely on dummy data that is generated inside of each notebook.
They have the same names as the python scripts. I recommend starting from here.
I will write later a proper documentation and some basic tutorials.
There is an extraction tool for converting useless root files into numpy arrays. The script is of simpilton-make, but it gets the job done. There is a 'config' example file in the folder, in order to use the script, run:
> python extract.py 'nameOfConfig'
## Jupyter Notebooks
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@@ -104,6 +100,23 @@ Users can easily change application parameters, since they are set in their own
They generate dummy data, where one can set different parameters.
## Getting data files
There are another tools, one can use to extract data from root files. Firstly I recommend to us [uproot](https://github.com/scikit-hep/uproot5).
Otherwise I wrote a simple class that can extract PXD data from root files. It's based on uproot. Ths code can be found [here](https://gitlab.ub.uni-giessen.de/gc2052/fromroot).
## Installing as a system wide library
One has to download the whole repo, navigate there using the terminal and run the following commands:
