6.4. Loop Unpacking Sequences

6.4.1. Recap

a, b = 1, 2
a, b = (1, 2)
k, v = (1, 2)
key, value = (1, 2)

6.4.2. List of Pairs

DATA = [
    ('a', 1),
    ('b', 2),
    ('c', 3),
]

for key, value in DATA:
    print(f'{key} -> {value}')

# a -> 1
# b -> 2
# c -> 3

6.4.3. List of Sequence

DATA = [
    (5.1, 3.5, 1.4, 0.2, 'setosa'),
    (5.7, 2.8, 4.1, 1.3, 'versicolor'),
    (6.3, 2.9, 5.6, 1.8, 'virginica'),
]

for sepal_length, sepal_width, petal_length, petal_width, species in DATA:
    print(species, '->', sepal_length)

for sl, sw, pl, pw, s in DATA:
    print(s, '->', sl)

for *features, label in DATA:
    print(label, '->', sum(features))

for *X,y in DATA:
    print(y, '->', sum(X))

# setosa -> [5.1, 3.5, 1.4, 0.2]
# versicolor -> [5.7, 2.8, 4.1, 1.3]
# virginica -> [6.3, 2.9, 5.6, 1.8]

6.4.4. Mixed

DATA = [
    (1, 2),
    ('name', 'Jan Twardowski'),
    ('species', ['setosa', 'versicolor', 'virginica']),
    ((1, 2), ['Johnson Space Center', 'Kennedy Space Center']),
    (['NASA', 'ESA', 'Roscosmos'], 1),
]

for key, value in DATA:
    print(f'{key} -> {value}')

# 1 -> 2
# name -> Jan Twardowski
# species -> ['setosa', 'versicolor', 'virginica']
# (1, 2) -> ['Johnson Space Center', 'Kennedy Space Center']
# ['NASA', 'ESA', 'Roscosmos'] -> 1

6.4.5. Enumerate

• Pythonic way

• Preferred over i=0 and i+=1 for every iteration

• enumerate() will return counter and value for every iteration

Listing 6.22. enumerate() will return counter and value for every iteration

DATA = ['a', 'b', 'c']

for i, letter in enumerate(DATA):
    print(i, letter)

# 0 a
# 1 b
# 2 c

Listing 6.23. enumerate() can start with custom number

DATA = ['a', 'b', 'c']

for i, letter in enumerate(DATA, start=5):
    print(i, letter)

# 5 a
# 6 b
# 7 c

DATA = [
    (5.1, 3.5, 1.4, 0.2, 'setosa'),
    (5.7, 2.8, 4.1, 1.3, 'versicolor'),
    (6.3, 2.9, 5.6, 1.8, 'virginica'),
]

for i, row in enumerate(DATA):
    print(f'{i} -> {row}')

# 0 -> (5.1, 3.5, 1.4, 0.2, 'setosa')
# 1 -> (5.7, 2.8, 4.1, 1.3, 'versicolor')
# 2 -> (6.3, 2.9, 5.6, 1.8, 'virginica')

6.4.6. Assignments

6.4.6.1. Loop Unpacking Endswith

• Complexity level: medium

• Lines of code to write: 3 lines

• Estimated time of completion: 8 min

• Solution: solution/loop_unpacking_endswith.py

English

1. Use data from "Input" section (see below)

2. Separate header from data

3. Iterating over data unpack row to *features and label

4. Print species names ending with "ca" or "osa"

Polish

1. Użyj danych z sekcji "Input" (patrz poniżej)

2. Odseparuj nagłówek od danych

3. Iterując po danych rozpakuj wiersz do *features oraz label

4. Wypisz nazwy gatunków kończące się na "ca" lub "osa"

Input

DATA = [
    ('Sepal length', 'Sepal width', 'Petal length', 'Petal width', 'Species'),
    (5.8, 2.7, 5.1, 1.9, {'virginica'}),
    (5.1, 3.5, 1.4, 0.2, {'setosa'}),
    (5.7, 2.8, 4.1, 1.3, {'versicolor'}),
    (6.3, 2.9, 5.6, 1.8, {'virginica'}),
    (6.4, 3.2, 4.5, 1.5, {'versicolor'}),
    (4.7, 3.2, 1.3, 0.2, {'setosa'}),
    (7.0, 3.2, 4.7, 1.4, {'versicolor'}),
    (7.6, 3.0, 6.6, 2.1, {'virginica'}),
    (4.6, 3.1, 1.5, 0.2, {'setosa'}),
]

The whys and wherefores

• Accessing set items

• Iterating over nested structure

• Unpacking in for loop

Hint

• str.endswith()

• set.pop()

• isinstance or type