how to split test and train data in python code example

Example 1: train test split pandas

from sklearn.model_selection import train_test_split

train, test = train_test_split(df, test_size=0.2)

Example 2: code for test and train split

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(
 X, y, test_size=0.33, random_state=42)

Example 3: train test split python

from sklearn.model_selection import train_test_split
				
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)

Example 4: split data train, test by id python

train_inds, test_inds = next(GroupShuffleSplit(test_size=.20, n_splits=2, random_state = 7).split(df, groups=df['Group_Id']))

train = df.iloc[train_inds]
test = df.iloc[test_inds]

Example 5: code for test and train split

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, 
	test_size = 0.33, random_state = 42)