#+TITLE:  Calcul de l'exercice 2 du module 2
#+AUTHOR: Corentin Stéphan
#+DATE:   02/05/2025
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export

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* On reporte les données

#+begin_src python :results value :exports both :session
import numpy as np
data = [
    14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8,
    10.9, 12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4,
    17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3,
    14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2,
    16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4,
    15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4,
    18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4,
    15.7, 10.2, 8.9, 21.0
]
#+end_src

#+RESULTS:
: None

* Figure 1
#+begin_src python :results value :exports both :session
import matplotlib.pyplot as plt

print(isinstance(data, list))

length = len(data)
# Liste de 1 à la longueur du vecteur
list_of_numbers = list(range(1, length + 1))


# Réinitialiser la figure
plt.figure()

# Tracer les données
fig = plt.plot(list_of_numbers, data)
plt.title("Séquence de données")
plt.grid(True)

matplot_lib_filename = "figure_pi_mc2.png"
plt.savefig(matplot_lib_filename)
plt.close()
matplot_lib_filename
#+END_SRC

#+RESULTS:
: figure_pi_mc2.png

[[file:figure_pi_mc2.png]]

* Figure 2

#+begin_src python :results file graphics :exports both :session

# Réinitialiser la figure
plt.figure(figsize=(8, 4))

# Tracer l'histogramme
fig2 = plt.hist(data, bins=20, color='tab:blue', edgecolor='black')
plt.title("Histogramme des données")
plt.grid(True)

# Sauvegarder la figure
histogram_filename = "histogramme_donnees.png"
plt.savefig(histogram_filename)
plt.close()
histogram_filename
#+END_SRC



[[file:histogramme_donness.png]]