import matplotlib.pyplot as plt
from sklearn.datasets.samples_generator import make_blobs
X, y = make_blobs(n_samples=1000, n_features=2, centers=[[-1, -1], [1, 1],
    [2, 2]], cluster_std=[0.4, 0.5, 0.2])
plt.scatter(X[:, 0], X[:, 1], marker='o', c=y)
plt.show()

d45adde164ba5336b4a1cce3b13965061d4f736d
<mask token>

<mask token>
plt.scatter(X[:, 0], X[:, 1], marker='o', c=y)
plt.show()

<mask token>
X, y = make_blobs(n_samples=1000, n_features=2, centers=[[-1, -1], [1, 1],
    [2, 2]], cluster_std=[0.4, 0.5, 0.2])
plt.scatter(X[:, 0], X[:, 1], marker='o', c=y)
plt.show()

import matplotlib.pyplot as plt
from sklearn.datasets.samples_generator import make_blobs
X, y = make_blobs(n_samples=1000, n_features=2, centers=[[-1, -1], [1, 1],
    [2, 2]], cluster_std=[0.4, 0.5, 0.2])
plt.scatter(X[:, 0], X[:, 1], marker='o', c=y)
plt.show()
