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 vote199 views1 answer
Pythagore
Python
0 vote211 views1 answer
How to Create new dataframe columns from existing column
Python
0 vote183 views1 answer
Python split string after substring
Python
1 vote178 views1 answer
Os.startfile
Python
1 vote187 views2 answers
Making spark session
Python
26 votes185 views2 answers
Import time in python
Python
4 votes189 views3 answers
How to append variable in Python
Python
0 vote181 views1 answer
From_bytes python
Python
0 vote155 views1 answer
Read a png file in python
Python
0 vote197 views1 answer
Poppler on colab
Python