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import numpy as np
i, j = map(int, input().split())
arr = np.array([list(map(int, input().split())) for _ in range(i)])
print(np.mean(arr, axis=1)) print(np.var(arr, axis=0))
std_value = np.std(arr, axis=None) if std_value == 0: print("0.0") else: print(f"{std_value:.11f}")
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Mean, Var, and Std
You are viewing a single comment's thread. Return to all comments →
import numpy as np
i, j = map(int, input().split())
arr = np.array([list(map(int, input().split())) for _ in range(i)])
print(np.mean(arr, axis=1)) print(np.var(arr, axis=0))
std_value = np.std(arr, axis=None) if std_value == 0: print("0.0") else: print(f"{std_value:.11f}")