python numpy数组和one-hot编码相互转换_convert_nn_one_hot

import numpy as np
from keras.utils import to_categorical

data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 7]
data = array(data)
print(data)
# [1 2 3 4 5 6 7 8 9 7]

#有普通np数组转换为one-hot
one_hots = to_categorical(data)
print(one_hots)
# [[ 0.  1.  0.  0.  0.  0.  0.  0.  0.  0.]
#  [ 0.  0.  1.  0.  0.  0.  0.  0.  0.  0.]
#  [ 0.  0.  0.  1.  0.  0.  0.  0.  0.  0.]
#  [ 0.  0.  0.  0.  1.  0.  0.  0.  0.  0.]
#  [ 0.  0.  0.  0.  0.  1.  0.  0.  0.  0.]
#  [ 0.  0.  0.  0.  0.  0.  1.  0.  0.  0.]
#  [ 0.  0.  0.  0.  0.  0.  0.  1.  0.  0.]
#  [ 0.  0.  0.  0.  0.  0.  0.  0.  1.  0.]
#  [ 0.  0.  0.  0.  0.  0.  0.  0.  0.  1.]
#  [ 0.  0.  0.  0.  0.  0.  0.  1.  0.  0.]]

# 由one-hot转换为普通np数组
data = [argmax(one_hot)for one_hot in one_hots]
print(data)
# [1, 2, 3, 4, 5, 6, 7, 8, 9, 7]
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