Structures de données en boucle - Partie 1

Python intermédiaire

Hugo Bowne-Anderson

Data Scientist at DataCamp

Dictionnaire

for var in seq :
    expression

dictloop.py

world = { "afghanistan":30.55,
          "albania":2.77, 
          "algeria":39.21 }

for key, value in world :
    print(key + " -- " + str(value))

ValueError: too many values to 
            unpack (expected 2)

Dictionnaire

for var in seq :
    expression

dictloop.py

world = { "afghanistan":30.55,
          "albania":2.77, 
          "algeria":39.21 }

for key, value in world.items() :
    print(key + " -- " + str(value))

algeria -- 39.21
afghanistan -- 30.55
albania -- 2.77

Dictionnaire

for var in seq :
    expression

dictloop.py

world = { "afghanistan":30.55,
          "albania":2.77, 
          "algeria":39.21 }

for k, v in world.items() :
    print(k + " -- " + str(v))

algeria -- 39.21
afghanistan -- 30.55
albania -- 2.77

Tableaux NumPy

for var in seq :
    expression

nploop.py

import numpy as np
np_height = np.array([1.73, 1.68, 1.71, 1.89, 1.79])
np_weight = np.array([65.4, 59.2, 63.6, 88.4, 68.7])

bmi = np_weight / np_height ** 2

for val in bmi :
    print(val)

Tableaux 2D NumPy

nploop.py

import numpy as np
np_height = np.array([1.73, 1.68, 1.71, 1.89, 1.79])
np_weight = np.array([65.4, 59.2, 63.6, 88.4, 68.7])
meas = np.array([np_height, np_weight])

for val in meas :
    print(val)

[ 1.73  1.68  1.71  1.89  1.79]
[ 65.4  59.2  63.6  88.4  68.7]

Tableaux 2D NumPy

nploop.py

import numpy as np
np_height = np.array([1.73, 1.68, 1.71, 1.89, 1.79])
np_weight = np.array([65.4, 59.2, 63.6, 88.4, 68.7])
meas = np.array([np_height, np_weight])

for val in np.nditer(meas) :
    print(val)

1.73
1.68
1.71
1.89
1.79
65.4
...

Résumé

Dictionnaire
- four key, val in my_dict.items() :
Tableau NumPy
- for val in np.nditer(my_array) :

Passons à la pratique !

Python intermédiaire