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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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464 Discussions

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  • dheenupriya2001
     + 0 comments
    import numpy

n, m = map(int,input().split())
arr = []
for _ in range(n):
    arr.append(list(map(int, input().split())))
    
print(numpy.mean(arr, axis = 1))
print(numpy.var(arr, axis = 0))
print(round(numpy.std(arr),11))

  • lienquanaovacc1
     + 0 comments

    import numpy

    N, M = map(int, input().split()) arr = numpy.array([input().split() for _ in range(N)], int)

    print(numpy.mean(arr, axis=1)) print(numpy.var(arr, axis=0)) print(round(numpy.std(arr), 11)) why we must round the std value? because the question not force us to round 11 digits.

  • SVVBathini_w
     + 0 comments

    For Python3 Platform

    It is not mentioned to round the value of standard deviation to 11 digits. I did it just to match the answer

    import numpy

N, M = map(int, input().split())
arr = numpy.array([input().split() for _ in range(N)], int)

print(numpy.mean(arr, axis=1))
print(numpy.var(arr, axis=0))
print(round(numpy.std(arr), 11))

  • sachinjwl32
     + 0 comments
    import numpy as np 
n,m = map(int,(input().split()))
my_array = np.array([list(map(int,input().split())) for _ in range(n)])


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

  • dilajevolves
     + 0 comments
    import numpy as np
N,M = map(int,input().split())
arr = np.array([input().split() for _ in range(N)],int)
print(np.mean(arr,axis=1))
print(np.var(arr,axis=0))
print(round(np.std(arr),11))