帖子 brand_effect = {

brand_effect = { "A": 3_500, "B": 1_500, "C": 0, "D": -2_000, } brand_bonus = np.array( [brand_effect[current_brand] for current_brand in brand] ) automatic_bonus = np.where( automatic == "yes", 1_200, 0, ) noise = rng.normal( loc=0, scale=1_800, size=n_samples, )