#+TITLE:  Savoir faire un calcul simple soi-même
#+AUTHOR: Anthony Scemama
#+DATE:   Wed Apr  1 21:55:23 CEST 2020
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export

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#+begin_src python :results output :session :exports both
import numpy as np

raw_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 = np.array(raw_data)
mu = np.mean(data)
sigma = np.std(data,ddof=1)
print ("mu     = ", mu)
print ("min    = ", np.min(data))
print ("max    = ", np.max(data))
print ("median = ", np.median(data))
print ("sigma  = ", sigma)
#+end_src

#+RESULTS:
: mu     =  14.113000000000001
: min    =  2.8
: max    =  23.4
: median =  14.5
: sigma  =  4.334094455301447

#+begin_src python :results output file :session :var matplot_lib_filename="./seq.png" :exports both
  import matplotlib.pyplot as plt

  plt.clf()
  plt.plot(data)

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

#+RESULTS:
[[file:./seq.png]]

* Histogram
#+begin_src python :results output file :session :var matplot_lib_filename="./hist.png" :exports both
  import matplotlib.pyplot as plt

  plt.clf()
  plt.hist(data)

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

#+RESULTS:
[[file:./hist.png]]