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  1. Prepare
  2. Python
  3. Numpy
  4. Mean, Var, and Std
  5. Discussions

Mean, Var, and Std

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459 Discussions

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  • pranaynikhare7
     + 0 comments
    n,m = map(int,input().split())

l1 = []
for i in range(n):
    l1.append(list(map(int, input().split())))

arr = np.array(l1)

print(np.mean(arr, axis =1))
print(np.var(arr, axis = 0))
print(round(np.std(arr, axis = None),11))

  • lsloan
     + 0 comments

    My compact solution…

    import sys
import numpy as np

print((a := np.loadtxt(sys.stdin.readlines()[1:], int)).mean(axis=1),
    a.var(axis=0), a.std().round(11), sep='\n')

    It's really very annoying that the results HackerRank expects is based on output using an old version of NumPy. After quickly solving the problem, it takes extra time to adjust it to appear the way they like it.

  • rohitambasta_ii1
     + 0 comments
    import numpy as np

N, M = list(map(int, input().split()))

array_list = []

for _ in range(N):
    inp= input().split()
    m_append= []
    for i in range(M):
        m_append.append(int(inp[i]))
    array_list.append(m_append)
    
numArray = np.array(array_list)
print(np.mean(numArray, axis= 1))
print(np.var(numArray, axis = 0))
print(round(np.std(numArray), 11))

  • yashdeora98294
     + 1 comment

    Here is HackerRank Mean, Var, and Std in Python solution - https://programmingoneonone.com/hackerrank-mean-var-and-std-solution-in-python.html

  • arohi_agrawal111
     + 1 comment
    import numpy as np

n, m = map(int, input().split())

val = np.array([list(map(int, input().split())) for i in range(n)])

print(np.mean(val, axis=1))
print(np.var(val, axis=0))
print(round(np.std(val), 11))