NumPy Array Iterations (Python Tutorial)

This is a detailed tutorial of the NumPy Iterating Arrays. Learn to perform iterations on a Numpy Array with the help of illustrative examples. Iteration is the process of visiting each and every element of the array one by one. So when we try to iterate through the arrays, we use a for loop fo that purpose.

This is a detailed tutorial of the NumPy Iterating Arrays. Learn to perform iterations on a Numpy Array with the help of illustrative examples.

Iteration is the process of visiting each and every element of the array one by one. So when we try to iterate through the arrays, we use a for loop fo that purpose.

Table of Contents

• What is FOR loop?
• Example 1
• Example 2
• Example 3
• Using nditer():
• Enumerated Iteration

What is FOR loop?

It is a loop function that helps us to loop through a block of code for a particular number of times.

As in NumPy, we deal with multi-dimensional arrays sow can use this basic for loop which found in python.

#importing the numpy package and

also making an alias as np

import numpy as np

creating the array in 1-D

array1 = np. array([ 9, 8, 7, 6, 5, 4, 3, 2

, 1])

now we will apply for loop

for x in array1:

#printing the array

print( x)

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