Mean, Var, and Std in Python - HackerRank Solution
Mean, Var, and Std in Python - HackerRank Solution
Problem :
mean
The 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.
var
The 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.
std
The 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 1
The var along axis 0
The 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.
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
Solution :
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # Mean, Var, and Std in Python - Hacker Rank Solution # Python 3 # Mean, Var, and Std in Python - Hacker Rank Solution START 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)) # Mean, Var, and Std in Python - Hacker Rank Solution END |
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CodeWorld19
Hey, I am Parthe Omkar
decimals=11 must be added.
import numpy
N,M = map(int,input().split())
A = numpy.array([input().split() for _ in range(N)], int)
print(A.mean(axis=1))
print(A.var(axis=0))
print(numpy.round(A.std(), decimals=11))