#+TITLE:  Calculs de base python
#+AUTHOR: Christophe Durand
#+DATE:   30/05/2024
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export

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* Calculs de base

#+begin_src python :results output replace  drawer :session :exports both 
import numpy as np
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]  )
#print(data)
print('Moyenne : ' +  str(data.mean()))                
print('Écart-type : ' + str(data.std(ddof=1)))
print('Minimum : ' + str(data.min()))
print('Maximum : ' + str(data.max()))
print('Médiane : ' + str(np.median(data)))

#+end_src

#+RESULTS:
:results:
Moyenne : 14.113000000000001
Écart-type : 4.334094455301447
Minimum : 2.8
Maximum : 23.4
Médiane : 14.5
:end:

* Quelques graphiques

#+begin_src python :results output file file  drawer :session :exports both :var sequence_filename="./sequence.png" :var histogram_filename="./histogram.png" :var sequence_histogram_filename="./sequence_histogram.png"
import matplotlib.pyplot as plt

fig_sequence=plt.figure(figsize=(10,5))


plt.plot(data)
plt.tight_layout()

plt.savefig(sequence_filename)
#print(sequence_filename)

plt.close(fig_sequence)

fig_histogram=plt.figure(figsize=(10,5))
plt.plot(data)
plt.tight_layout()

plt.savefig(histogram_filename)
#print(histogram_filename)
plt.close(fig_histogram)

fig_sequence_histogram=plt.figure(figsize=(10,5))

plt.subplot(2,1,1)
plt.plot(data)
plt.tight_layout()

plt.subplot(2,1,2)

#y=np.histogram(data, density=True)
plt.hist(data)

plt.savefig(sequence_histogram_filename)
plt.close(fig_sequence_histogram)
print(sequence_histogram_filename)


#+end_src

#+RESULTS:
:results:

[[file:./sequence_histogram.png]]
:end: