Python Codes

What are named tuples in Python?

These are part of the collections module and act very similar to regular tuples

The main difference being that values stored in a named tuple can be accessed using field names instead of indexes.

For example, a point in the two-dimensional plane can be represented using two coordinates. In a regular tuple, these values would be accessed by index ([0] and [1]), but if we define a named tuple, Point, we can access them using x and y instead (although we can still use indexes, too, if we want):

Example:

from collections import namedtuple

# Regular tuple
p = (2, 4) # p[0] = 2, p[1] = 4

# Named tuple
Point = namedtuple('Point', 'x y')
q = Point(3, 5) # q.x = 3, q.y = 5

Example 2:

from collections import namedtuple

Point = namedtuple('Point', ['x', 'y', 'z'], defaults = [1]);
a = Point(1, 1, 0); # a.x = 1, a.y = 1, a.z = 0

# Default value used for `z`
b = Point(2, 2); # b.x = 2, b.y = 2, b.z = 1 (default)


Share and Support
@Python_Codes

www.tg-me.com/ru/Python Codes/com.python_codes/165

14.1K viewsMar 23, 2021 at 07:06

What are named tuples in Python?

These are part of the collections module and act very similar to regular tuples

The main difference being that values stored in a named tuple can be accessed using field names instead of indexes.

For example, a point in the two-dimensional plane can be represented using two coordinates. In a regular tuple, these values would be accessed by index ([0] and [1]), but if we define a named tuple, Point, we can access them using x and y instead (although we can still use indexes, too, if we want):

Example:

from collections import namedtuple

# Regular tuple
p = (2, 4) # p[0] = 2, p[1] = 4

# Named tuple
Point = namedtuple('Point', 'x y')
q = Point(3, 5) # q.x = 3, q.y = 5

Example 2:

from collections import namedtuple

Point = namedtuple('Point', ['x', 'y', 'z'], defaults = [1]);
a = Point(1, 1, 0); # a.x = 1, a.y = 1, a.z = 0

# Default value used for `z`
b = Point(2, 2); # b.x = 2, b.y = 2, b.z = 1 (default)


Share and Support
@Python_Codes

BY Python Codes