如何让CountVectorizer feature_names按顺序排列，而不是按字母顺序排列？

from sklearn.feature_extraction.text import CountVectorizer

# 定义文本数据
corpus = [
    'This is the first document',
    'This document is the second document',
    'And this is the third one',
    'Is this the first document'
]

# 定义特定顺序的特征名称列表
feature_names_order = ['and', 'document', 'first', 'is', 'one', 'second', 'the', 'third', 'this']

# 创建CountVectorizer对象，并设置vocabulary参数
vectorizer = CountVectorizer(vocabulary=feature_names_order)

# 对文本数据进行特征提取
X = vectorizer.fit_transform(corpus)

# 获取按顺序排列的feature_names
feature_names = vectorizer.get_feature_names()

# 打印结果
print(feature_names)

['and', 'document', 'first', 'is', 'one', 'second', 'the', 'third', 'this']