载入数据

input1 = np.load('/root/whq/input/one_hot_1400/xf_p_n.npy')
input2 = np.load('/root/whq/input/one_hot_1400/gf_p_n.npy')
output_ = np.load('/root/whq/input/one_hot_1400/label_p_n_-1.npy')
output_0 = np.load('/root/whq/input/one_hot_1400/label_p_n_0.npy')

shuffle

all = list(zip(input1, input2, output_, output_0))
random.shuffle(all)
input1, input2, output_, output_0 = zip(*all)

存为numpy格式

input1 = np.array(list(input1))
input2 = np.array(list(input2))
output_ = np.array(list(output_))
output_0 = np.array(list(output_0))np.save('/root/whq/input/one_hot_1400_shuffle/xf_id.npy', input1)
np.save('/root/whq/input/one_hot_1400_shuffle/gf_id.npy', input2)
np.save('/root/whq/input/one_hot_1400_shuffle/label_p_n_-1.npy', output_)
np.save('/root/whq/input/one_hot_1400_shuffle/label_p_n_0.npy', output_0)