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from sklearn.preprocessing import scale  # 归一化
a = np.array([[0, 3452, 6],
              [2, 4564, 1]])
print(scale(a))

from sklearn.preprocessing import scale # 归一化 a = np.array([[0, 3452, 6], [2, 4564, 1]]) print(scale(a))

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a = np.array([[0, 3452, 6],
              [2, 4564, 1]])
data_mean = a.mean(axis=0)
data_std = a.std(axis=0)
dataset = (a- data_mean) / data_std
print(dataset )

a = np.array([[0, 3452, 6], [2, 4564, 1]]) data_mean = a.mean(axis=0) data_std = a.std(axis=0) dataset = (a- data_mean) / data_std print(dataset )