Sum and Product on a 2D Array – Detailed Version #Python #HackerRank #NumPy #ArrayOperat #Statistics

In this problem, you are provided with a 2-D array of dimensions X (rows) and Y (columns). Your task is to perform two operations using NumPy:

Sum over axis 0:

When applied with axis=0, it calculates the sum for each column.

For example, given the 2-D array:

[[1, 2],
[3, 4]]
The sum along axis 0 is computed as:

For column 0: 1 + 3 = 4

For column 1: 2 + 4 = 6
Resulting in the array: [4, 6].

Product of the Result:

By applying it to the resulting array [4, 6], we get the product:
4 × 6 = 24

Step-by-Step Explanation:

Input Handling:

The first line of input contains two space-separated integers, representing the number of rows (X) and columns (Y) of the array.

The next X lines each contain Y space-separated integers, forming the 2-D array.

Converting Input to a NumPy Array:

Sum Calculation:

Product Calculation:

Output:

Finally, the computed product is printed.

This detailed solution not only shows how to use the sum and prod functions from NumPy but also explains the significance of the axis parameter and how to process multi-dimensional data effectively.

Code (Detailed Version):

import numpy as np

def solve():
# Read the dimensions of the array (number of rows and columns)
n, m = map(int, input().split())

# Construct the 2-D array from the input lines and convert it to a NumPy array of integers

# Compute the sum of array elements along axis 0 (column-wise sum)

# Compute the product of the values in the sum_result array

# Print the final product
print(prod_result)

if __name__ == '__main__':
solve()