train test split code in pandas

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Gabriela
28 Mar 2019
1from sklearn.model_selection import train_test_split
2
3X = df.drop(['target'],axis=1).values   # independant features
4y = df['target'].values					# dependant variable
5
6# Choose your test size to split between training and testing sets:
7X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)
Gaia
26 Apr 2017
1df_permutated = df.sample(frac=1)
2
3train_size = 0.8
4train_end = int(len(df_permutated)*train_size)
5
6df_train = df_permutated[:train_end]
7df_test = df_permutated[train_end:]
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