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 views1 answer
If settings.debug
Python
-2 votes194 views1 answer
Python for-while
Python
0 vote193 views1 answer
Standard noramlization
Python
8 votes200 views1 answer
Remove strings from a list python if they're too small
Python
1 vote210 views1 answer
Like in mysqldb python
Python
1 vote209 views1 answer
Python sleep random
Python
1 vote208 views2 answers
{:.1%} print one decimal pandas
Python
1 vote217 views1 answer
Max string length python
Python
1 vote204 views1 answer
Pandas iloc select certain columns
Python
0 vote188 views1 answer
Parsing a url for IP address using python
Python