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- # -*- encoding:utf-8 -*-
- import numpy as np
- def load_data(path='mnist.npz'):
- f = np.load(path)
- x_train, y_train = f['x_train'], f['y_train']
- x_test, y_test = f['x_test'], f['y_test']
- print(len(y_train))
- print(len(y_test))
- f.close()
- return (x_train, y_train), (x_test, y_test)
- print("开始读取数据")
- (train_X, train_y), (test_X, test_y) = load_data()
- print("读取结束")
- train_data=zip(train_X,train_y)
- train_data=[str([x.tolist(),y]) for [x,y] in train_data]
- test_data=zip(test_X,test_y)
- test_data=[str([x.tolist(),y]) for [x,y] in test_data]
- with open("train_data","w") as f:
- f.writelines("\n".join(train_data))
- with open("test_data","w") as f:
- f.writelines("\n".join(test_data))
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