This Python program is designed to solve a problem from HackerRank. The problem requires the calculation of the mean, variance, and standard deviation of a numpy array. The array is created from user input, with the dimensions of the array (n, m) also being provided by the user.
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The solution works by first taking user input for the dimensions of the array. It then creates an empty list, and for each row in the array, it takes user input for the elements, converts them to integers, and appends them to the list. This list is then converted to a numpy array. The numpy functions mean(), var(), and std() are then used to calculate the mean, variance, and standard deviation of the array respectively. The results are printed to the console.
import numpy
n, m = map(int, input().split())
ar = []
for _ in range(n):
tmp = list(map(int, input().split()))
ar.append(tmp)
np_ar = numpy.array(ar)
print(numpy.mean(np_ar, axis=1))
print(numpy.var(np_ar, axis=0))
print(round(numpy.std(np_ar, axis=None), 11))
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