#+TITLE: Exercice 2_2 org/pyhton #+AUTHOR: Bougueon #+DATE: 3 mars 2021 #+LANGUAGE: fr # #+PROPERTY: header-args :eval never-export #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+begin_src python :results output :exports both :noexport: import numpy x = [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] print("std: {} ".format( numpy.std(x, ddof = 1))) print("mean: {} ".format(numpy.mean(x))) print("min: {} ".format(numpy.min(x))) print("max: {} ".format(numpy.max(x))) print("median: {} ".format(numpy.median(x))) #+end_src #+RESULTS: : std: 4.334094455301447 : mean: 14.113000000000001 : min: 2.8 : max: 23.4 : median: 14.5