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: train test split sklearn
from sklearn.model_selection import train_test_split
X = df.drop(['target'],axis=1).values
y = df['target'].values
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, 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: pandas split train test
from sklearn.model_selection import train_test_split
y = df.pop('output')
X = df
X_train,X_test,y_train,y_test = train_test_split(X.index,y,test_size=0.2)
X.iloc[X_train]
Example 5: sklearn train test split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)
Example 6: 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]