#+TITLE:  Exercice 3
#+AUTHOR: Igor Benek-Lins
#+DATE:   2023-01-12
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export

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* Le calcul
:PROPERTIES:
:ID:       6185a26c-ba28-4417-930c-090b0d67ae88
:END:

1. Préparation du environment.
   #+begin_src python :results none :session *python* :exports code
     import numpy as np
     import matplotlib.pyplot as plt

     data = np.array([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])
     data
   #+end_src

2. Plot de la série temporel
   #+begin_src python :results output file :var matplot_lib_filename="plot_ts_python.png" :exports results :session *python*
     fig, ax = plt.subplots(1)
     ax.plot(data, c="b")

     plt.grid(True)
     plt.savefig(matplot_lib_filename)
     print(matplot_lib_filename)
   #+end_src

   #+RESULTS:
   [[file:plot_ts_python.png]]

3. Plot du histograme
   #+begin_src python :results output file :var matplot_lib_filename="plot_hist_python.png" :exports results :session *python*
     fig, ax = plt.subplots(1)
     n_bins = 10
     n, bins, patches = plt.hist(data, n_bins)

     plt.grid(True)
     plt.savefig(matplot_lib_filename)
     print(matplot_lib_filename)
   #+end_src

   #+RESULTS:
   [[file:plot_hist_python.png]]