Mean, Var, and Std

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  • + 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))
    
  • + 0 comments

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

  • + 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))
    
  • + 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

  • + 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'
    )