python-scikit-learnHow to load wine dataset

import numpy as np
from sklearn import datasets

X, y = datasets.load_wine(return_X_y=True)ctrl + cgithub

`from sklearn import` import module from scikit-learn	`import numpy` import Numpy module
`X, y` loaded features data (`X`) and target variable (`y`) values	`datasets` predefined datasets to play with
`load_wine` loads wine dataset

import numpy as np
from sklearn import datasets

X, y = datasets.load_wine(return_X_y=True)

print(X.shape)
print(y.shape)

(178, 13)
(178,)