Python中的常见数据集打乱方法_python

x_train, y_train=train_load()

index = [i for i in range(len(x_train))]

np.random.shuffle(index)

x_train= x_train[index]

y_train = y_train[index]

x_train, y_train=train_load()
result = list(zip(x_train, y_train))  # 打乱的索引序列
np.random.shuffle(result)
x_train,y_train = zip(*result)

x_batch, y_batch = train_load()
#加载我所有的数据,这里想x_batch,Y_batch是list的格式,要注意

seed=100
random.seed(seed)
random.shuffle(x_batch)
random.seed(seed)#一定得重复在写一遍,和上面的seed要相同,不然y_batch和x_batch打乱顺序会不一样
random.shuffle(y_batch)

x_train, y_train = np.array(x_train),np.array(y_train)
index = [i for i in range(len(y_train))]
np.random.shuffle(index)
x_train = x_train[index]
y_train = y_train[index]