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

27 votes152 views4 answers
Create a dataframe from dict
Python
0 vote188 views1 answer
Index from multiindex pandas
Python
0 vote217 views1 answer
Else if in django template
Python Django
1 vote106 views1 answer
Break outside loop python
Python
0 vote149 views1 answer
Values missing comparing datasets
Python
31 votes169 views6 answers
Python venv create
Python
0 vote157 views2 answers
Change index of dataframe with list
Python
0 vote149 views1 answer
How to specify port while running django project
Python
0 vote184 views1 answer
Django python base 64 encode
Python Django
0 vote168 views1 answer
Save variable to use in other jupyter notebook
Python