#+TITLE:  Analyse du journal
#+AUTHOR: Louis Lacoste
#+DATE:   2022-11-20
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export

#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>

* Récupération des données du journal

Ici nous allons importer les étiquettes et les exporter dans un
fichier =data.csv=. 

#+begin_src shell :results output :exports both
grep -oP "(?<=:)([a-zA-Z]*)(?=:)" ~/org/journal.org > data.csv
head -n 5 data.csv
#+end_src

#+RESULTS:
: informatique
: wikipedia
: biologie
: virus
: allergie

* Traitement des données

#+NAME: import-python
#+begin_src python :results output :session :exports both :dir /home/polarolouis/Documents/MOOC/RR/mooc-rr/module2/exo4
import csv
with open('data.csv', 'r', encoding='utf8') as csvfile:
    reader = csv.reader(csvfile)
    for row in reader:
        print(row)
#+end_src

#+RESULTS: import-python
#+begin_example

['informatique']
['wikipedia']
['biologie']
['virus']
['allergie']
['biologie']
['LOGBOOK']
['END']
['LOGBOOK']
['END']
#+end_example