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2024年4月21日发(作者：xml解析失败安装插件)

python numpy迭代运算

English Answer:

1. Iterating Over NumPy Arrays.

NumPy arrays are powerful data structures that can be

used to perform various mathematical and scientific

operations. One of the most common operations is iterating

over the elements of an array. This can be done using a

variety of methods, including:

For loops: The simplest way to iterate over an array

is to use a for loop. This allows you to access each

element of the array in turn. For example, the following

code iterates over a 1D array:

python.

import numpy as np.

arr = ([1, 2, 3, 4, 5])。

for number in arr:

print(number)。

While loops: While loops can also be used to iterate

over arrays. This is useful when you need to iterate over

the array multiple times or when you need to check a

condition before iterating over the next element. For

example, the following code iterates over an array until it

finds a value that is greater than 3:

python.

import numpy as np.

arr = ([1, 2, 3, 4, 5])。

i = 0。

while i < len(arr):


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