Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.

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<class 'pandas.core.frame.DataFrame'> RangeIndex: 7043 entries, 0 to 7042 Data columns (total 33 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 CustomerID 7043 non-null ...