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

6 votes292 views5 answers
Python fill zeros left
Python
41 votes305 views6 answers
Python try except
Python
0 vote307 views1 answer
Numpy mask without losing shape
Python
0 vote310 views1 answer
Python tkinter button dynamic button command
Python
0 vote291 views1 answer
Python code to demonstrate inheritance
Python
0 vote280 views1 answer
How to collect the index of a pandas dataframe into a list
Python
1 vote295 views1 answer
How to get pygame key
Python
0 vote314 views1 answer
Logartim normalization python pandas
Python
0 vote304 views1 answer
How to run fastapi with code python
Python
0 vote298 views1 answer
User passes test django
Python