Min and Max in Python HackerRank Solution

Hello coders, In this post, you will learn how to solve Min and Max in Python HackerRank Solution. This problem is a part of the Python Hacker Rank series.

Min and Max in Python - HackerRank Solution
Min and Max in Python HackerRank Solution

Min and Max in Python HackerRank Solution

Problem

MinThe tool min returns the minimum value along a given axis.

import numpy
my_array = numpy.array([[2, 5],
                        [3, 7],
                        [1, 3],
                        [4, 0]])
print numpy.min(my_array, axis = 0)         #Output : [1 0]
print numpy.min(my_array, axis = 1)         #Output : [2 3 1 0]
print numpy.min(my_array, axis = None)      #Output : 0
print numpy.min(my_array)                   #Output : 0

By default, the axis value is None. Therefore, it finds the minimum over all the dimensions of the input array.  MaxThe tool max returns the maximum value along a given axis. 

import numpy
my_array = numpy.array([[2, 5],
                        [3, 7],
                        [1, 3],
                        [4, 0]])
print numpy.max(my_array, axis = 0)         #Output : [4 7]
print numpy.max(my_array, axis = 1)         #Output : [5 7 3 4]
print numpy.max(my_array, axis = None)      #Output : 7
print numpy.max(my_array)                   #Output : 7

 By default, the axis value is None. Therefore, it finds the maximum over all the dimensions of the input array. 

Task :

You are given a 2-D array with dimensions NXM.
Your task is to perform the min function over axis 1 and then find the max of that.

Input Format :

The first line of input contains the space separated values of N and M.
The next N lines contains M space separated integers.  

Output Format :

Compute the min along axis 1 and then print the max of that result.

Sample Input :

4 2
2 5
3 7
1 3
4 0

Sample Output :

3

Explanation :

The min along axis 1 = [2, 3, 1, 0]
The max of [2, 3, 1, 0]= 3

Min and Max in Python HackerRank Solution

import numpy
N, M = map(int, input().split())
storage = numpy.array([input().split() for _ in range(N)],int)
print(numpy.max(numpy.min(storage, axis=1), axis=0))

Disclaimer: The above Problem (Min and Max in Python) is generated by Hackerrank but the Solution is Provided by Chase2Learn. This tutorial is only for Educational and Learning purposes. Authority if any of the queries regarding this post or website fill the following contact form thank you.

Sharing Is Caring

Leave a Comment