import pandas as pd
import numpy as np
bins = [0, 1, 13, 20, 60, np.inf]
labels = ['infant', 'kid', 'teen', 'adult', 'senior citizen']
transformer = preprocessing.FunctionTransformer(
    pd.cut, kw_args={'bins': bins, 'labels': labels, 'retbins': False}
)
X = np.array([0.2, 2, 15, 25, 97])
transformer.fit_transform(X)

import pandas as pd
import numpy as np
from sklearn import preprocessing

bins = [0, 1, 13, 20, 60, np.inf]
labels = ['infant', 'kid', 'teen', 'adult', 'senior citizen']
transformer = preprocessing.FunctionTransformer(
    pd.cut, kw_args={'bins': bins, 'labels': labels, 'retbins': False}
)
X = np.array([0.2, 2, 15, 25, 97])
transformer.fit_transform(X)