python如何进行批量查找替换并且分类

Question

{
"Data":[
{
"title":"我要扫地",
"id":"1"
},
{
"title":"他要跳楼了",
"id":"2"
},
{
"title":"跑步是有好处的",
"id":"3"
}
]
}

数据大概几千条
如何自动查找特定关键词，并且写入分类（如图所示）
比如
卫生 = '扫地,拖地,吸尘'
锻炼 = '跑步,慢跑，俯卧撑'
.....
.......

Answer 1

只有挨个遍历了，几千条数据也不算多，类似处理方法如下：

# python 2.7 utf-8
from copy import deepcopy

dic_category = {
    u'卫生': [u'扫地', u'拖地', u'吸尘'],
    u'锻炼': [u'跑步', u'慢跑', u'俯卧撑'],
    u'自杀': [u'跳楼']
}

data = {
    "Data": [
        {
            "title": u"我要扫地",
            "id": "1"
        },
        {
            "title": u"他要跳楼了",
            "id": "2"
        },
        {
            "title": u"跑步是有好处的",
            "id": "3"
        },
        {
            "title": u"多做俯卧撑",
            "id": "4"
        }
    ]
}

processed_data = deepcopy(data) # 若考虑内存占用率，直接处理data

for dic_ele in processed_data['Data']:
    dic_ele['category'] = None
    for str_category, tup_keys in dic_category.iteritems():
        if dic_ele['category']:  # 不考虑一个title有多种类别的情况
            break
        for str_key in tup_keys:
            if str_key in dic_ele['title']:
                dic_ele['category'] = str_category
                break

# display
for dic_ele in processed_data['Data']:
    print '------------'
    print 'id:', dic_ele['id']
    print 'title:', dic_ele['title'].encode('utf-8')
    print 'category:', dic_ele['category'].encode('utf-8')

Answer 2

完全不懂你在说什么，你是说 只给出 “卫生” 从文本里找到 “扫地”？？？ 那真是意想天开