Specify list of possible values for Pandas get_dummies

Question

Suppose I have a Pandas DataFrame like the below and I\'m encoding categorical_1 for training in scikit-learn:

data = {\'numeric_1\':[12.1, 3.2, 5.5, 6.8, 9.9],          


        

Answer 1

Isn't this a better answer?

data = pd.DataFrame({
    "values": [1, 2, 3, 4, 5, 6, 7],
    "categories": ["A", "A", "B", "B", "C", "C", "D"]
})

possibilites = ["A", "B", "C", "D", "E", "F"]

exists = data["categories"].tolist()

difference = pd.Series([item for item in possibilites if item not in exists])

target = data["categories"].append(pd.Series(difference))

target = target.reset_index(drop=True)

dummies = pd.get_dummies(
    target
)

dummies = dummies.drop(dummies.index[list(range(len(dummies)-len(difference), len(dummies)))])