mooc-rr/module2/exo2/exercice_python_fr.org

Exo 2 Python

• Import des données
• Partie 1&2
• Partie 3

Import des données

import numpy as np

dataSource = 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], dtype=np.float64)
print(dataSource)

[14.   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.  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.  13.6 18.  13.6 19.9 13.7 17.  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.  14.3 16.8 14.   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. ]

Partie 1&2

La moyenne :

print(np.mean(dataSource))

14.113000000000001

Le minimum :

print(np.min(dataSource))

2.8

Le maximum :

print(np.max(dataSource))

23.4

La médiane :

print(np.median(dataSource))

14.5

L'écart-type :

print(np.std(dataSource, ddof=1))

4.334094455301447

Partie 3

import matplotlib.pyplot as plt
import numpy as np

w = np.arange(0, len(dataSource))
fig1 = plt.figure(figsize=(5,5))
plt.plot(list(w), list(dataSource), 'b-')


# Parameters
plt.grid(True)
plt.tight_layout()
plt.xlim(0,100)
plt.ylim(0,25)

plt.savefig(matplot_lib_filename)
matplot_lib_filename

import matplotlib.pyplot as plt
import numpy as np

# Actual plot
fig1 = plt.figure()
plt.hist(list(dataSource), edgecolor='k')

# Parameters
plt.grid(True)
plt.tight_layout()
plt.xlim(0,25)
plt.ylim(0,25)

# Export the picture
plt.savefig(matplot_lib_filename)
matplot_lib_filename