I have a data named Total
and I split it into features and labels as below. Later I split them into training and test data.
Total_X = Total[:,:-1]
Total_y = Total[:,-1]
Train_X , Test_X , Train_y, Test_y = train_test_split(Total_X,Total_y,test_size = .3)
Now I want to combine Train_X
and Train_y
and create a new list which is like Total
.
Are you sure you wanted to divide them in the first place?
test_len = np.floor(len(Total) * 0.3)
test_xy, train_xy = Total[:test_len], Total[test_len:]
And then if you need them, you can extract test_x = test_xy[:,:-1]
etc
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