Train-test split code in pandas

Train test split sklearn

from sklearn.model_selection import train_test_split

X = df.drop(['target'],axis=1).values   # independant features
y = df['target'].values					# dependant variable

# Choose your test size to split between training and testing sets:
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)

Train-test split code in pandas

df_permutated = df.sample(frac=1)

train_size = 0.8
train_end = int(len(df_permutated)*train_size)

df_train = df_permutated[:train_end]
df_test = df_permutated[train_end:]

Similar codes

1 vote207 views2 answers
Python dictionary default value if key doesn't exist
Python
0 vote206 views1 answer
Python print \n every n loops
Python
0 vote219 views1 answer
Degree symbol in python
Python
0 vote205 views1 answer
Time current time python time.time
Python
15 votes218 views1 answer
Importing file from another folder python
Python
16 votes236 views6 answers
Map in python 3
Python
-1 vote216 views1 answer
Save a file as a pickle
Python
29 votes191 views6 answers
JUPYTER INSTALL
Python
3 votes213 views2 answers
Python append row to 2d array
Python
0 vote225 views1 answer
Python create a grid of points
Python