使用Python语言中的collections模块和re模块，以及代码库numpy和pandas，实现按照标题中常用词筛选出对象的方法。

示例代码如下：

import collections import re import numpy as np import pandas as pd

def filter_object_by_common_words_in_title(objects, common_words): """ 根据标题中常用词，从一组对象中筛选出包含这些常用词的对象。 """ result = [] for obj in objects: # 提取标题中出现的常用词，并统计词频 title = obj['title'] words = re.findall(r'\w+', title.lower()) word_counts = collections.Counter(words) # 判断标题中是否出现了给定的常用词 if any(word_counts.get(word, 0) > 0 for word in common_words): result.append(obj) return result

测试用例

objects = [ {'title': 'Python教程', 'tag': 'education'}, {'title': 'C++教程', 'tag': 'education'}, {'title': 'Python编程基础', 'tag': 'programming'}, {'title': 'Java编程基础', 'tag': 'programming'}, {'title': 'Python进阶', 'tag': 'programming'}, {'title': '算法与数据结构', 'tag': 'programming'}, ]

common_words = ['python', '教程', '编程']

result = filter_object_by_common_words_in_title(objects, common_words) print(pd.DataFrame(result)) # 输出筛选结果