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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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  • 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
     + 0 comments

    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))

  • fa_caviglia
     + 0 comments

    import numpy as np

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

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

    print(np.mean(ar, axis = 1)) print(np.var(ar, axis = 0)) print(round(np.std(ar), 11)) # 11 significant figures to match the expected result format

  • muhammadvarza191
     + 0 comments
    from numpy import mean, std, var

res = [
  list(map(int, input().split(' '))) for
  _ in range(int(input().split(' ')[0]))
]

print(
  mean(res, axis=1),
  var(res, axis=0),
  std(res).round(11),
  sep='\n'
)