How to split data into 3 sets (train, validation and test)?

Question

I have a pandas dataframe and I wish to divide it to 3 separate sets. I know that using train_test_split from sklearn.cross_validation, one can divide the data

Answer 1

However, one approach to dividing the dataset into train, test, cv with 0.6, 0.2, 0.2 would be to use the train_test_split method twice.

from sklearn.model_selection import train_test_split

x, x_test, y, y_test = train_test_split(xtrain,labels,test_size=0.2,train_size=0.8)
x_train, x_cv, y_train, y_cv = train_test_split(x,y,test_size = 0.25,train_size =0.75)