请为我生成顾及空间关系的多源地名数据匹配的Python代码示例

好的，以下是Python代码示例：

import pandas as pd
import re

def match_location(text):
    """
    匹配多源地名数据，并返回匹配到的地名。
    """
    # 省市区数据
    provinces = pd.read_csv('provinces.txt', header=None, names=['province'])
    cities = pd.read_csv('cities.txt', header=None, names=['city'])
    districts = pd.read_csv('districts.txt', header=None, names=['district'])
    # 地名数据
    locations = pd.read_csv('locations.txt', header=None, names=['location'])

    # 匹配所有可能的地名
    all_locations = pd.concat([provinces, cities, districts, locations], axis=0).reset_index(drop=True)
    regex_patterns = '|'.join(all_locations['location'].apply(lambda x: f'(?P<location>{x})').tolist())
    regex_patterns = rf'({regex_patterns})'
    matches = re.findall(regex_patterns, text)

    # 去重，按长度排序
    matches = list(set([m[0] for m in matches]))
    matches = sorted(matches, key=len)

    return matches

请问还有其他问题吗？