Introduction to the sample function in python

The random.sample function in Python is used to randomly extract elements of a specified length from a specified sequence and return a new list. The syntax of the function is "random.sample(population, k)", where population is An iterable sequence, which can be a list, tuple, set, etc., and k is the number of elements to be extracted.

In Python, the random.sample function is used to randomly extract elements of a specified length from a specified sequence and return a new list. The syntax of this function is as follows:

random.sample(population, k)

Among them, population is an iterable sequence, which can be a list, tuple, set, etc., and k is the number of elements to be extracted.

For example, assuming there is a list [1, 2, 3, 4, 5], we can use the random.sample function to randomly select a part of the elements:

import random
seq = [1, 2, 3, 4, 5]
sampled = random.sample(seq, 3)
print(sampled)  # 可能的输出：[3, 1, 4]

In this example, random.sample randomly selects 3 elements from the seq list, and the returned sampled list contains these 3 randomly selected elements.

It should be noted that the random.sample function does not change the original sequence, but returns a new list containing extracted elements. In addition, if you try to extract elements from an empty sequence, or if the number of elements required to be extracted exceeds the length of the sequence, a ValueError exception will be triggered.

In short, the random.sample function is a convenient tool that can play a role in scenarios that require random extraction of elements, such as data processing, simulation experiments, etc. It is widely used.

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