NumPy를 사용하여 요소에 요소를 곱하는 방법은 무엇입니까?

Multiplying List Elements by a Factor to Form a New List

In Python, a common task is to create a new list where each element of the original list is repeated a specified number of times. While multiplication can't be directly used on lists, a simple solution lies in leveraging NumPy's repeat function.

Using NumPy's repeat Method

NumPy provides np.repeat, a function that can effectively multiply each element in a list by a desired number. Let's explore its implementation:

<code class="python">import numpy as np

# Create the original list
x = [1, 2, 3, 4]

# Specify the multiplication factor
n = 3

# Use numpy.repeat to create the new list
x1 = np.repeat(x, n)

# Output the new list
print(x1)</code>

Output:

[1 1 1 2 2 2 3 3 3 4 4 4]

How it Works

np.repeat takes two arguments: an array (or list) and a number of repetitions. It assigns each element of the original array to the newly created list n times. By providing the original list x and the desired multiplication factor n, np.repeat generates the updated list x1 with repeated elements.

This solution effectively accomplishes the task of creating a new list by repeating the elements of the original list a specified number of times, offering a straightforward and efficient approach in NumPy.

위 내용은 NumPy를 사용하여 요소에 요소를 곱하는 방법은 무엇입니까?의 상세 내용입니다. 자세한 내용은 PHP 중국어 웹사이트의 기타 관련 기사를 참조하세요!