Min and Max in Python HackerRank Solution

Hello Programmers, In this post, you will know how to solve the Min and Max in Python HackerRank Solution. This problem is a part of the HackerRank Python Programming Series.

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One more thing to add, don’t directly look for the solutions, first try to solve the problems of Hackerrank by yourself. If you find any difficulty after trying several times, then you can look for solutions.

Min and Max in Python HackerRank Solution

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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 Solutions

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 BrokenProgrammers. This tutorial is only for Educational and Learning purposes.

Next: Mean, Var, and Std in Python HackerRank Solution