Ошибка: вход содержит NaN в sklearn python при преобразовании категориальных данных в числовые

Question

# Turn the Categories into Numbers

from sklearn.preprocessing import OneHotEncoder
from sklearn.compose import ColumnTransformer

categorical_features = ["Make", "Colour", "Doors"]
one_hot = OneHotEncoder()
transformer = ColumnTransformer([("one_hot", one_hot, categorical_features)], remainder="passthrough")
transformed_X = transformer.fit_transform(X)
transformed_X