Mean, Var, and Std in Python HackerRank Solution

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

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Mean, Var, and Std in Python HackerRank Solutions

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.

Mean, Var, and Std in Python HackerRank Solution

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meanThe mean tool computes the arithmetic mean along the specified axis.

import numpy
my_array = numpy.array([ [1, 2], [3, 4] ])
print numpy.mean(my_array, axis = 0)        #Output : [ 2.  3.]
print numpy.mean(my_array, axis = 1)        #Output : [ 1.5  3.5]
print numpy.mean(my_array, axis = None)     #Output : 2.5
print numpy.mean(my_array)                  #Output : 2.5

 By default, the axis is None. Therefore, it computes the mean of the flattened array.
varThe var tool computes the arithmetic variance along the specified axis.

import numpy
my_array = numpy.array([ [1, 2], [3, 4] ])
print numpy.var(my_array, axis = 0)         #Output : [ 1.  1.]
print numpy.var(my_array, axis = 1)         #Output : [ 0.25  0.25]
print numpy.var(my_array, axis = None)      #Output : 1.25
print numpy.var(my_array)                   #Output : 1.25

 By default, the axis is None. Therefore, it computes the variance of the flattened array. stdThe std tool computes the arithmetic standard deviation along the specified axis.

import numpy
my_array = numpy.array([ [1, 2], [3, 4] ])
print numpy.std(my_array, axis = 0)         #Output : [ 1.  1.]
print numpy.std(my_array, axis = 1)         #Output : [ 0.5  0.5]
print numpy.std(my_array, axis = None)      #Output : 1.11803398875
print numpy.std(my_array)                   #Output : 1.11803398875

 By default, the axis is None. Therefore, it computes the standard deviation of the flattened array. 

Task :

You are given a 2-D array of size NXM.
Your task is to find:The mean along axis 1The var along axis 0The std along axis 

Input Format :

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

Output Format :

First, print the mean.
Second, print the var.
Third, print the std.

Sample Input :

2 2
1 2
3 4

Sample Output :

[ 1.5  3.5]
[ 1.  1.]
1.11803398875

Mean, Var, and Std in Python HackerRank Solutions

import numpy
N,M = map(int, input().split())
l = []
for i in range(N):
    a = list(map(int, input().split()))
    l.append(a)
l = numpy.array(l)
numpy.set_printoptions(legacy='1.13')
print(numpy.mean(l, axis = 1))
print(numpy.var(l, axis = 0))
print(numpy.std(l))

Disclaimer: The above Problem (Mean, Var, and Std in Python) is generated by Hackerrank but the Solution is Provided by BrokenProgrammers. This tutorial is only for Educational and Learning purposes.

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