import matplotlib.pyplot as plt
import numpy as np
from sklearn.datasets import make_classification

# set for reproducibility
np.random.seed(0)

X, y = make_classification(
    n_samples=100, n_features=2, n_informative=2,
    n_redundant=0, n_repeated=0, n_classes=2
)

plt.scatter(
    X[:, 0], X[:, 1], c=y
    linestyle='None', marker='.',
)
plt.show()