python如何进行批量查找替换并且分类

Answer 1

Only traversed one by one, thousands of pieces of data are not too much. Similar processing methods are as follows:

# 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

I don’t understand what you are talking about at all. Do you mean to only give “sanitation” and find “sweeping the floor” from the text? ? ? That’s really amazing