如何通过py判断一个城市它是几线城市呀
我找不到跟这个有关的字词典,不会只有把每一个几线城市先手敲出来再来判断吧{:10_266:} 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
中国的一线二线三线四线城市bai划分
依据 1政治地位 2经济实力 3城市规模 4区域辐射力
1.一线城市是指直辖市;二线城市是指省会城市、经济特区和各省综合实力排名前三名的城市
2.一线城市是指北京、上海、广州等大城市。
二线城市包括各省省会及沿海城市。
三线城市是指比较发达的中小城市。
3.一线城市是指1992年国家规定的5个特区和6个城市;二线城市指省会城市、直辖市和单列市;三线城市则指有战略意义的大中城市和经济总量较大的小城市,比如宁波、温州、东莞。
4.一线城市是指1992年允许合资试点的五个特区、六大城市;二线城市是指1999年扩大合资试点的省会、直辖市和计划单列市;三线城市是指有战略意义的大中城市
------来源中国社会科学院财政与贸易经济研究所
一线城市,是指能代表国内发展全面领先的城市:政治地位突出,经济发展超前,经济实力超强,对周边的城市具有举足轻重的影响,并在国际上具有代表中国的实力的城市。
一线强 北京 上海 (一个政治文化中心,一个经济中心,无争议) 一线 广州 深圳 (南粤双雄,实力旗鼓相当,公认一线)
准一线 天津 (原本属于二线强,近几年国家重视、发展极快,步入准一线)
二线城市,是指能紧跟一线城市的发展步伐,各方面都具有相当水准的城市。
二线强 南京 武汉 沈阳 西安 成都 (都属于区域中心城市) 重庆(直辖市)
杭州(经济发达、副省级)
青岛 大连 宁波(三个经济发达的计划单列市)
二线中 济南 哈尔滨 长春(剩下的三个副省级城市)
厦门(计划单列市、规模小所以只能是二线中)
郑州 长沙 福州(经济发展较好的三个非副省级省会城市) 乌鲁木齐 昆明(国家重点发展的边疆国际化城市) 兰州(西北重工业城市、兰州军区) 苏州 无锡(最发达的两个非省会地级市)
二线弱 南昌 贵阳 南宁 合肥 太原 石家庄 呼和浩特(七个实力相当的省会城市)
准二线 佛山 东莞(两个制造业经济强市) 唐山(环渤海重工业大城市) 烟台(环渤海重要港口、经济强市) 泉州(闽南经济中心城市) 包头(重工业大城市)
三线城市:其他省会级别的城市,各方面的影象力较二线城市有差
距,在国际上基本没有影响力。
三线强 银川 西宁 海口 洛阳 南通 常州 徐州 潍坊 淄博 绍兴 温州 台州 大庆 鞍山 中山 珠海 汕头 吉林 柳州
三线中 拉萨 保定 邯郸 秦皇岛 沧州 鄂尔多斯 东营 威海 济宁 临沂 德州 滨州 泰安 湖州 嘉兴 金华 泰州 镇江 盐城 扬州 桂林 惠州 湛江 江门 茂名 株洲 岳阳 衡阳 宝鸡 宜昌 襄樊 开封 许昌 平顶山 赣州 九江 芜湖 绵阳 齐齐哈尔 牡丹江 抚顺
三线弱 本溪 丹东 辽阳 锦州 营口 承德 廊坊 邢台 大同 榆林 延安 天水 克拉玛依 喀什 石河子 南阳 濮阳 安阳 焦作 新乡 日照 聊城 枣庄 蚌埠 淮南 马鞍山 连云港 淮安 丽水 衢州 荆州 安庆 景德镇 新余 湘潭 常德 郴州 漳州 清远 揭阳 梅州 肇庆 玉林 北海 德阳 宜宾 遵义 大理
四线城市:剩余的所有城市 python只是程序,算法得自己决定。
比如告诉python 收入大于10w属1线,7-10w属于2线,得有一个判断基础。 你这也太白了,怎么判断你要告诉程序判断条件 找一份平城市均收支,GPD数据提取那些数据来判断啊 如果说是真实的,就从网上获取一二线城市姓名,用字典存储一下,然后去查找 是的,只能每一个几线城市先手敲出来(或者找资料复制)再来判断 是的 cities = {"广州 北京 上海" : "一线城市",
"济南 长春" : "二线城市"}
city = input("请输入:")
for i in cities.keys():
if city in i.split():
print(cities)
学习一下
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