Convert List to 3x3 NumPy Array – Detailed Version #Python #HackerRank #NumPy #Reshape

In this problem, you are provided with a space-separated list of nine integers as input. Your task is to convert this list into a 3×3 NumPy array. This exercise demonstrates how to create and reshape NumPy arrays—a fundamental skill for scientific computing and data processing.

Step-by-Step Explanation:

Input Handling (#InputHandling, #DataProcessing):

The input is a single line containing nine space-separated integers.

We use Python’s input() function along with split() and map(int, ...) to convert the input string into a list of integers.

Array Conversion (#NumPy, #ArrayConversion):

Reshaping the Array (#Reshape, #MatrixOperations):

We then use the reshape() method to transform the 1-D array into a 3×3 array.

The reshape(3, 3) function reorganizes the data into a new shape (3 rows and 3 columns) without changing the original data.

Output (#OutputFormatting):

Finally, we print the reshaped array which matches the required output format.

This detailed solution not only shows how to convert and reshape arrays using NumPy but also emphasizes the importance of array manipulation in various scientific and data processing tasks.

Code (Detailed Version):

import numpy as np

def solve():
# Read a list of nine integers from input
arr = list(map(int, input().split()))

# Convert the list to a 1-D NumPy array

# Reshape the 1-D array into a 3x3 array

# Print the resulting 3x3 array
print(reshaped_array)

if __name__ == '__main__':
solve()