python - 如何在没有train_test_split函数的情况下将数据中的固定行数拆分为Xtest、Xtrain、Ytrain和Ytest

Question

I have the data set with 80 columns. In python I want to split the data into first 60 as train data and the 13 as test data. The data gets split randomly if I use train_test_split function. I don't want random data for train.

Eg: Data set columns looks like the below:

Date | dependent_variable | independent_variable_1 | independent_variable_2

train = data[:80] 
test = data[13:]

From this how to split the dependent variable and independent variable.(Xtrain,Xtest, Ytrain and Ytest) Thanks in advance.

Answer 1

The data gets split randomly if I use train_test_split function. I don't want random data for train.

By default its random, yes, but you can make it NOT random.

If you call the function doing train_test_split(X, y, test_size=0.33, shuffle=False) . Notice the parameter shuffle :

Whether or not to shuffle the data before splitting

You will achieve your objective of splitting without random splits.

Finally, train_test_split splits your dataset rows using the test_size, so if you want to do it manually, keep in mind that you should split the rows and not the columns, and keep the respective columns for the X and the y.