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

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* 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
from collections import Counter

temporaryList = []

with open('data.csv', 'r', encoding='utf8') as csvfile:
    reader = csv.reader(csvfile)
    for row in reader:
        temporaryList.append(row[0])

tagCount = Counter(temporaryList)

tagList = []
countList = []

for tag in tagCount:
    tagList.append(tag)
    countList.append(tagCount[tag])

#+end_src

Ici on convertit les données en dataframe =pandas= afin de pouvoir faire
l'affichage plus facilement.
 
#+RESULTS: import-python

#+NAME: conversion-dataframe
#+begin_src python :results output :session :exports both
import pandas as pd

preDataframe = dict(tagCount)


print(preDataframe)

tagCountDataframe = pd.DataFrame.from_dict({'tags':list(preDataframe), 'values':list(preDataframe.values())})
tagCountDataframe['values'] = pd.to_numeric(tagCountDataframe['values'])

print(tagCountDataframe)
#+end_src

#+RESULTS: conversion-dataframe
: {'informatique': 1, 'wikipedia': 1, 'biologie': 2, 'virus': 1, 'allergie': 1, 'LOGBOOK': 2, 'END': 2}
:            tags  values
: 0  informatique       1
: 1     wikipedia       1
: 2      biologie       2
: 3         virus       1
: 4      allergie       1
: 5       LOGBOOK       2
: 6           END       2

* Affichage des données
** Diverses infos
   #+begin_src python :results output :session :exports both
print(f"Les tags les plus cités : {tagCount.most_common(3)}")
   #+end_src

   #+RESULTS:
   : Les tags les plus cités : [('biologie', 2), ('LOGBOOK', 2), ('END', 2)]
** Graphiques
   #+begin_src python :results file :session :var matplot_lib_filename=(org-babel-temp-file "figure" ".png") :exports both
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.tight_layout()

# Affichage 
ax = tagCountDataframe.plot(x="tags", y="values", kind='bar')

plt.savefig(matplot_lib_filename)
matplot_lib_filename

#+end_src

#+RESULTS:
[[file:/tmp/babel-DfWAKd/figureDe0QxU.png]]