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

49 votes105 views6 answers
Sort dictionary
Python
1 vote287 views1 answer
[0] * 10 python
Python
0 vote118 views1 answer
How to extract integers from string python
Python
0 vote101 views1 answer
[ WARN:0] global C:\Users\appveyor\AppData\Local\Temp\1\pip-req-build-wwma2wne\o pencv\modules\videoio\src\cap_msmf.cpp (677) CvCapture_MSMF::initStream Failed t o set mediaType (stream 0, (640x480 @ 30) MFVideoFormat_RGB24(codec not found)
Python
0 vote100 views1 answer
Is python good for competitive programming
Python
0 vote103 views1 answer
Gui apps
Python
0 vote122 views1 answer
Seaborn create a correlation matrix
Python
0 vote79 views3 answers
How to transpose a matrix in python
Python
0 vote148 views1 answer
Reportlab python draw line
Python
0 vote105 views1 answer
How to make a operating system in python
Python