# -*- mode: org -*-
# -*- coding: utf8 -*-
#+TITLE: Exercice 2
#+AUTHOR: Victor
#+LANGUAGE: French

#+PROPERTY: header-args  :session  :exports both

#+begin_src python :results output :session :exports both
from numpy import mean, median, std 

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]

data_mean = mean(data)
print(f"Mean: {round(data_mean, 2)}")

data_min = min(data)
print(f"Min: {round(data_min, 2)}")

data_max = max(data)
print(f"Max: {round(data_max, 2)}")

data_median = median(data)
print(f"Median: {round(data_median, 2)}")

data_stddev = std(data, ddof=1)
print(f"Standard deviation: {round(data_stddev, 2)}")

#+end_src

#+RESULTS:
: Mean: 14.11
: Min: 2.8
: Max: 23.4
: Median: 14.5
: Standard deviation: 4.33

#+begin_src python :results file :session :var matplot_lib_filename=(org-babel-temp-file "figure" ".png") :exports both
import matplotlib.pyplot as plt

fig, ax = plt.subplots(2)
ax[0].plot(data)
ax[1].hist(data)

plt.savefig(matplot_lib_filename)
matplot_lib_filename
#+end_src

#+RESULTS:
[[file:/tmp/babel-Cll6iL/figureWKO5RN.png]]