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

0 vote172 views1 answer
2 distinct numbers random number generator python
Python
0 vote167 views1 answer
Pandas dataframe scan column for values between numbers
Python
1 vote163 views1 answer
Django don't redirect on submission
Python
6 votes172 views2 answers
Add python kernel to Jupyter
Python
0 vote236 views1 answer
Python project pick text color according to background
Python
0 vote179 views1 answer
PIL\Image.py", line 2975, in open fp = builtins.open(filename, "rb") PermissionError: [Errno 13] Permission denied:
Python
0 vote172 views1 answer
Django auth user model
Python
0 vote174 views1 answer
Obtener el mayor valor de un diccionario python
Python
0 vote189 views1 answer
Pandas df make set index column
Python
0 vote186 views1 answer
Round to 3 significant figures python
Python