csvToRNTuple

A program that takes as input a CSV file and generates a RNTuple ROOT file.

Features

It takes the first row of the input CSV file as a header and automatically parses it. You do not have to know the number, name or type of the columns.

How to compile

Prerequisites

The program is only tested on ROOT 6.26.00. If you are able to build ROOT 6.26.00, then you have all the prerequisites to run this program.

Compiling

Make a build directory and enter it.

$ mkdir build && cd build

cmake

$ cmake ../

make

$ make

Now you will have two executable files: task2_converter and task2_analyser.

How to use

Convert

$ ./task2_converter <input_file> <output_file>

Analyse

$ ./task2_analyser <output_file> #output_file from above part.

Example

The input file is a CSV file ith 6 columns.

An_Integer:int,pX:float,pY:float,pZ:float,Integer_2:int,ProbK:float
0,2.123,1.31,1,0,9132.1433
1,2232.3,3.1,0.1231,2,2.3
2,322.36,45.1,12.1,85,124
56,24.1,2541.2,15,4,83.323

Convert it

$ ./task2_converter ../input_file.csv output_file.ntuple
Add field: An_Integer[std::int32_t]
Add field: pX[float]
Add field: pY[float]
Add field: pZ[float]
Add field: Integer_2[std::int32_t]
Add field: ProbK[float]

Now you have a file named output_file.ntuple in build/.

See what's inside output_file.ntuple.

$ ./task2_analyser output_file.ntuple
************************************ NTUPLE ************************************
* N-Tuple : Data                                                               *
* Entries : 4                                                                  *
********************************************************************************
* Field 1   : An_Integer (std::int32_t)                                     *
* Field 2   : pX (float)                                                       *
* Field 3   : pY (float)                                                       *
* Field 4   : pZ (float)                                                       *
* Field 5   : Integer_2 (std::int32_t)                                         *
* Field 6   : ProbK (float)                                                    *
********************************************************************************
The third entry is shown below:
{
  "An_Integer": 2,
  "pX": 322.36,
  "pY": 45.1,
  "pZ": 12.1,
  "Integer_2": 85,
  "ProbK": 124
}