scikit_learb_test.py

from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
import numpy as np

iris = datasets.load_iris()
X = iris.data[:, [2, 3]]
y = iris.target
print(f"Class labels : {np.unique(y)}")

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1, stratify=y)

sc = StandardScaler()
sc.fit(X_train)
X_train_std = sc.transform(X_train)
X_test_std = sc.transform(X_test)