如何在python中制作未配对的数据

Question

My data is in this format

ID         input_1         input_2
1          'hello'         'greeting'
2          'algorithm'     'computer science'
.             .               .
.             .               .

The input_1 and input_2 can be viewed as the pair data, is there a way or a library in python to shuffle them to make input_1 and input_2 are not paired?

Answer 1

I think you can use numpy.random.permutation :

df.input_1 = np.random.permutation(df.input_1)
print (df)
   ID      input_1             input_2
0   1  'algorithm'          'greeting'
1   2      'hello'  'computer science'

Answer 2

You can use the random module - which funnily enough has a shuffle function!

random.shuffle(input_1)

(note that shuffle operates in place, yuck)

Answer 3

将数据作为数据帧读取，然后使用它的索引df.ix[row_number,column_number]处理它并获取您想要获取的内容并相应地进行处理。