Roadwatch Data Processor
This is a small library build specifically for Project Roadwatch. This package is used to process, format and clean up the csv data on road accidents in France in order to be integrated in a SQL database.
Note: The scripts are adapted for csv files published between 2005-2017.
Generate documentation
$ make doc
Note: The documentation is generated using sphinx.
Run tests
$ make test
Usage
Processing caracteristiques-2017.csv file.
In [1]: from rw_data_proc import caracteristics
In [2]: df = caracteristics.process(path='files/caracteristiques-2017.csv')
In [3]: df.head()
Out[3]:
lum agg int atm col adr comm dep gps lat long date
num_acc
201700000001 5 2 1 1 1 rue nationale 59477 590 M 50.51326 2.92191 2017-01-11 18:20:00
201700000002 1 2 3 1 3 5 rue sonneville 59005 590 M 50.53611 2.95314 2017-02-13 16:30:00
201700000003 1 2 9 1 5 rue Jules Guesde 59052 590 M 50.52174 2.88786 2017-03-07 11:50:00
201700000004 1 2 1 1 6 46 rue Sonneville 59005 590 M 50.53723 2.95700 2017-04-22 13:00:00
201700000005 1 2 1 1 2 Rue roger salengro 59011 590 M 50.52999 2.93798 2017-05-20 12:30:00About
This module is a part of a bigger project called 'Project Roadwatch'. Which is was in individual assignment as a part in the first year graduate program in Computer Science at Lille University, Faculty of Science and Technology.
Supervising Professor: Mickael Salson
Author: Daniel SASU