import numpy as np
from sklearn.cluster import KMeans
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler


customer_names = np.array(
    [
        "trial-01",
        "trial-02",
        "trial-03",
        "steady-01",
        "steady-02",
        "steady-03",
        "premium-01",
        "premium-02",
        "premium-03",
    ]
)

features = np.array(
    [
        [1.2, 18.0],
        [1.8, 22.0],
        [2.0, 24.0],
        [5.8, 47.0],
        [6.4, 52.0],
        [6.9, 49.0],
        [10.2, 85.0],
        [10.8, 91.0],
        [11.4, 88.0],
    ],
    dtype=float,
)