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 vote202 views2 answers
Headers cors
Python
0 vote179 views1 answer
Get raster corners python
Python
1 vote188 views1 answer
Backup django db from one database to another
Python
0 vote207 views1 answer
WSGIPassAuthorization on
Python
1 vote151 views2 answers
Delete a key and value from dict python
Python
1 vote202 views1 answer
How to Add a overall Title to Seaborn Plots
Python
8 votes183 views3 answers
Python add zero to string
Python
2 votes224 views5 answers
List append python 3
Python
1 vote214 views1 answer
Stop a function from continuing when a condition is met python
Python
1 vote182 views1 answer
Python for property in object
Python