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楼主: 凊风

行政区划设置求教~~

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 楼主| 发表于 2024-4-12 20:39:33 | 显示全部楼层
FishC 发表于 2024-4-12 20:35
要将`110100000000`提取为`city_code`,将`市辖区`提取为`city_name`,可以使用BeautifulSoup库配合列 ...

[<a href="11/1101.html">110100000000</a>, <a href="11/1101.html">市辖区</a>]

我要把110100000000取出来做city_code
把市辖区取出来做city_name

请问要怎么写代码?
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发表于 2024-4-12 20:39:43 | 显示全部楼层
凊风 发表于 2024-04-12 20:39
我要把110100000000取出来做city_code
把市辖区取出 ...


如果你要从字符串`110100000000`中提取出`city_code`,并从字符串`市辖区`中提取出`city_name`,可以使用切片操作来实现。下面是相应的代码示例:
city_code = "110100000000"
city_name = "市辖区"

# 提取 city_code
city_code = city_code[:6]

# 提取 city_name
city_name = city_name[:-1]

print("City Code:", city_code)
print("City Name:", city_name)

这段代码中,使用了切片操作符`[:]`来提取`city_code`字符串中的前6个字符(不包括第6个字符),并将结果重新赋值给`city_code`变量。使用了切片操作符`[:-1]`来提取`city_name`字符串中去掉最后一个字符的部分,并将结果重新赋值给`city_name`变量。

最后,通过打印语句输出了提取的结果。运行代码后,你会看到如下输出:
City Code: 110100
City Name: 市辖

希望对你有所帮助!

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 楼主| 发表于 2024-4-12 21:43:18 | 显示全部楼层
FishC 发表于 2024-4-12 20:39
如果你要从字符串`110100000000`中提取出`city_code`,并从字符串`市辖区`中提取出`city_name`,可以使 ...

city_list:[<a href="11/1101.html">110100000000</a>, <a href="11/1101.html">市辖区</a>]
city_list: [<a href="12/1201.html">120100000000</a>, <a href="12/1201.html">市辖区</a>]
city_list: [<a href="13/1301.html">130100000000</a>, <a href="13/1301.html">石家庄市</a>, <a href="13/1302.html">130200000000</a>, <a href="13/1302.html">唐山市</a>, <a href="13/1303.html">130300000000</a>, <a href="13/1303.html">秦皇岛市</a>, <a href="13/1304.html">130400000000</a>, <a href="13/1304.html">邯郸市</a>, <a href="13/1305.html">130500000000</a>, <a href="13/1305.html">邢台市</a>, <a href="13/1306.html">130600000000</a>, <a href="13/1306.html">保定市</a>, <a href="13/1307.html">130700000000</a>, <a href="13/1307.html">张家口市</a>, <a href="13/1308.html">130800000000</a>, <a href="13/1308.html">承德市</a>, <a href="13/1309.html">130900000000</a>, <a href="13/1309.html">沧州市</a>, <a href="13/1310.html">131000000000</a>, <a href="13/1310.html">廊坊市</a>, <a href="13/1311.html">131100000000</a>, <a href="13/1311.html">衡水市</a>, <a>133100000000</a>, <a>雄安新区</a>]
city_list: [<a href="14/1401.html">140100000000</a>, <a href="14/1401.html">太原市</a>, <a href="14/1402.html">140200000000</a>, <a href="14/1402.html">大同市</a>, <a href="14/1403.html">140300000000</a>, <a href="14/1403.html">阳泉市</a>, <a href="14/1404.html">140400000000</a>, <a href="14/1404.html">长治市</a>, <a href="14/1405.html">140500000000</a>, <a href="14/1405.html">晋城市</a>, <a href="14/1406.html">140600000000</a>, <a href="14/1406.html">朔州市</a>, <a href="14/1407.html">140700000000</a>, <a href="14/1407.html">晋中市</a>, <a href="14/1408.html">140800000000</a>, <a href="14/1408.html">运城市</a>, <a href="14/1409.html">140900000000</a>, <a href="14/1409.html">忻州市</a>, <a href="14/1410.html">141000000000</a>, <a href="14/1410.html">临汾市</a>, <a href="14/1411.html">141100000000</a>, <a href="14/1411.html">吕梁市</a>]
city_list: [<a href="15/1501.html">150100000000</a>, <a href="15/1501.html">呼和浩特市</a>, <a href="15/1502.html">150200000000</a>, <a href="15/1502.html">包头市</a>, <a href="15/1503.html">150300000000</a>, <a href="15/1503.html">乌海市</a>, <a href="15/1504.html">150400000000</a>, <a href="15/1504.html">赤峰市</a>, <a href="15/1505.html">150500000000</a>, <a href="15/1505.html">通辽市</a>, <a href="15/1506.html">150600000000</a>, <a href="15/1506.html">鄂尔多斯市</a>, <a href="15/1507.html">150700000000</a>, <a href="15/1507.html">呼伦贝尔市</a>, <a href="15/1508.html">150800000000</a>, <a href="15/1508.html">巴彦淖尔市</a>, <a href="15/1509.html">150900000000</a>, <a href="15/1509.html">乌兰察布市</a>, <a href="15/1522.html">152200000000</a>, <a href="15/1522.html">兴安盟</a>, <a href="15/1525.html">152500000000</a>, <a href="15/1525.html">锡林郭勒盟</a>, <a href="15/1529.html">152900000000</a>, <a href="15/1529.html">阿拉善盟</a>]
city_list: [<a href="21/2101.html">210100000000</a>, <a href="21/2101.html">沈阳市</a>, <a href="21/2102.html">210200000000</a>, <a href="21/2102.html">大连市</a>, <a href="21/2103.html">210300000000</a>, <a href="21/2103.html">鞍山市</a>, <a href="21/2104.html">210400000000</a>, <a href="21/2104.html">抚顺市</a>, <a href="21/2105.html">210500000000</a>, <a href="21/2105.html">本溪市</a>, <a href="21/2106.html">210600000000</a>, <a href="21/2106.html">丹东市</a>, <a href="21/2107.html">210700000000</a>, <a href="21/2107.html">锦州市</a>, <a href="21/2108.html">210800000000</a>, <a href="21/2108.html">营口市</a>, <a href="21/2109.html">210900000000</a>, <a href="21/2109.html">阜新市</a>, <a href="21/2110.html">211000000000</a>, <a href="21/2110.html">辽阳市</a>, <a href="21/2111.html">211100000000</a>, <a href="21/2111.html">盘锦市</a>, <a href="21/2112.html">211200000000</a>, <a href="21/2112.html">铁岭市</a>, <a href="21/2113.html">211300000000</a>, <a href="21/2113.html">朝阳市</a>, <a href="21/2114.html">211400000000</a>, <a href="21/2114.html">葫芦岛市</a>]
city_list: [<a href="22/2201.html">220100000000</a>, <a href="22/2201.html">长春市</a>, <a href="22/2202.html">220200000000</a>, <a href="22/2202.html">吉林市</a>, <a href="22/2203.html">220300000000</a>, <a href="22/2203.html">四平市</a>, <a href="22/2204.html">220400000000</a>, <a href="22/2204.html">辽源市</a>, <a href="22/2205.html">220500000000</a>, <a href="22/2205.html">通化市</a>, <a href="22/2206.html">220600000000</a>, <a href="22/2206.html">白山市</a>, <a href="22/2207.html">220700000000</a>, <a href="22/2207.html">松原市</a>, <a href="22/2208.html">220800000000</a>, <a href="22/2208.html">白城市</a>, <a href="22/2224.html">222400000000</a>, <a href="22/2224.html">延边朝鲜族自治州</a>]
city_list: [<a href="23/2301.html">230100000000</a>, <a href="23/2301.html">哈尔滨市</a>, <a href="23/2302.html">230200000000</a>, <a href="23/2302.html">齐齐哈尔市</a>, <a href="23/2303.html">230300000000</a>, <a href="23/2303.html">鸡西市</a>, <a href="23/2304.html">230400000000</a>, <a href="23/2304.html">鹤岗市</a>, <a href="23/2305.html">230500000000</a>, <a href="23/2305.html">双鸭山市</a>, <a href="23/2306.html">230600000000</a>, <a href="23/2306.html">大庆市</a>, <a href="23/2307.html">230700000000</a>, <a href="23/2307.html">伊春市</a>, <a href="23/2308.html">230800000000</a>, <a href="23/2308.html">佳木斯市</a>, <a href="23/2309.html">230900000000</a>, <a href="23/2309.html">七台河市</a>, <a href="23/2310.html">231000000000</a>, <a href="23/2310.html">牡丹江市</a>, <a href="23/2311.html">231100000000</a>, <a href="23/2311.html">黑河市</a>, <a href="23/2312.html">231200000000</a>, <a href="23/2312.html">绥化市</a>, <a href="23/2327.html">232700000000</a>, <a href="23/2327.html">大兴安岭地区</a>]
city_list: [<a href="31/3101.html">310100000000</a>, <a href="31/3101.html">市辖区</a>]
city_list: [<a href="32/3201.html">320100000000</a>, <a href="32/3201.html">南京市</a>, <a href="32/3202.html">320200000000</a>, <a href="32/3202.html">无锡市</a>, <a href="32/3203.html">320300000000</a>, <a href="32/3203.html">徐州市</a>, <a href="32/3204.html">320400000000</a>, <a href="32/3204.html">常州市</a>, <a href="32/3205.html">320500000000</a>, <a href="32/3205.html">苏州市</a>, <a href="32/3206.html">320600000000</a>, <a href="32/3206.html">南通市</a>, <a href="32/3207.html">320700000000</a>, <a href="32/3207.html">连云港市</a>, <a href="32/3208.html">320800000000</a>, <a href="32/3208.html">淮安市</a>, <a href="32/3209.html">320900000000</a>, <a href="32/3209.html">盐城市</a>, <a href="32/3210.html">321000000000</a>, <a href="32/3210.html">扬州市</a>, <a href="32/3211.html">321100000000</a>, <a href="32/3211.html">镇江市</a>, <a href="32/3212.html">321200000000</a>, <a href="32/3212.html">泰州市</a>, <a href="32/3213.html">321300000000</a>, <a href="32/3213.html">宿迁市</a>]
city_list: [<a href="33/3301.html">330100000000</a>, <a href="33/3301.html">杭州市</a>, <a href="33/3302.html">330200000000</a>, <a href="33/3302.html">宁波市</a>, <a href="33/3303.html">330300000000</a>, <a href="33/3303.html">温州市</a>, <a href="33/3304.html">330400000000</a>, <a href="33/3304.html">嘉兴市</a>, <a href="33/3305.html">330500000000</a>, <a href="33/3305.html">湖州市</a>, <a href="33/3306.html">330600000000</a>, <a href="33/3306.html">绍兴市</a>, <a href="33/3307.html">330700000000</a>, <a href="33/3307.html">金华市</a>, <a href="33/3308.html">330800000000</a>, <a href="33/3308.html">衢州市</a>, <a href="33/3309.html">330900000000</a>, <a href="33/3309.html">舟山市</a>, <a href="33/3310.html">331000000000</a>, <a href="33/3310.html">台州市</a>, <a href="33/3311.html">331100000000</a>, <a href="33/3311.html">丽水市</a>]
city_list: [<a href="34/3401.html">340100000000</a>, <a href="34/3401.html">合肥市</a>, <a href="34/3402.html">340200000000</a>, <a href="34/3402.html">芜湖市</a>, <a href="34/3403.html">340300000000</a>, <a href="34/3403.html">蚌埠市</a>, <a href="34/3404.html">340400000000</a>, <a href="34/3404.html">淮南市</a>, <a href="34/3405.html">340500000000</a>, <a href="34/3405.html">马鞍山市</a>, <a href="34/3406.html">340600000000</a>, <a href="34/3406.html">淮北市</a>, <a href="34/3407.html">340700000000</a>, <a href="34/3407.html">铜陵市</a>, <a href="34/3408.html">340800000000</a>, <a href="34/3408.html">安庆市</a>, <a href="34/3410.html">341000000000</a>, <a href="34/3410.html">黄山市</a>, <a href="34/3411.html">341100000000</a>, <a href="34/3411.html">滁州市</a>, <a href="34/3412.html">341200000000</a>, <a href="34/3412.html">阜阳市</a>, <a href="34/3413.html">341300000000</a>, <a href="34/3413.html">宿州市</a>, <a href="34/3415.html">341500000000</a>, <a href="34/3415.html">六安市</a>, <a href="34/3416.html">341600000000</a>, <a href="34/3416.html">亳州市</a>, <a href="34/3417.html">341700000000</a>, <a href="34/3417.html">池州市</a>, <a href="34/3418.html">341800000000</a>, <a href="34/3418.html">宣城市</a>]
city_list: [<a href="35/3501.html">350100000000</a>, <a href="35/3501.html">福州市</a>, <a href="35/3502.html">350200000000</a>, <a href="35/3502.html">厦门市</a>, <a href="35/3503.html">350300000000</a>, <a href="35/3503.html">莆田市</a>, <a href="35/3504.html">350400000000</a>, <a href="35/3504.html">三明市</a>, <a href="35/3505.html">350500000000</a>, <a href="35/3505.html">泉州市</a>, <a href="35/3506.html">350600000000</a>, <a href="35/3506.html">漳州市</a>, <a href="35/3507.html">350700000000</a>, <a href="35/3507.html">南平市</a>, <a href="35/3508.html">350800000000</a>, <a href="35/3508.html">龙岩市</a>, <a href="35/3509.html">350900000000</a>, <a href="35/3509.html">宁德市</a>]
city_list: [<a href="36/3601.html">360100000000</a>, <a href="36/3601.html">南昌市</a>, <a href="36/3602.html">360200000000</a>, <a href="36/3602.html">景德镇市</a>, <a href="36/3603.html">360300000000</a>, <a href="36/3603.html">萍乡市</a>, <a href="36/3604.html">360400000000</a>, <a href="36/3604.html">九江市</a>, <a href="36/3605.html">360500000000</a>, <a href="36/3605.html">新余市</a>, <a href="36/3606.html">360600000000</a>, <a href="36/3606.html">鹰潭市</a>, <a href="36/3607.html">360700000000</a>, <a href="36/3607.html">赣州市</a>, <a href="36/3608.html">360800000000</a>, <a href="36/3608.html">吉安市</a>, <a href="36/3609.html">360900000000</a>, <a href="36/3609.html">宜春市</a>, <a href="36/3610.html">361000000000</a>, <a href="36/3610.html">抚州市</a>, <a href="36/3611.html">361100000000</a>, <a href="36/3611.html">上饶市</a>]
city_list: [<a href="37/3701.html">370100000000</a>, <a href="37/3701.html">济南市</a>, <a href="37/3702.html">370200000000</a>, <a href="37/3702.html">青岛市</a>, <a href="37/3703.html">370300000000</a>, <a href="37/3703.html">淄博市</a>, <a href="37/3704.html">370400000000</a>, <a href="37/3704.html">枣庄市</a>, <a href="37/3705.html">370500000000</a>, <a href="37/3705.html">东营市</a>, <a href="37/3706.html">370600000000</a>, <a href="37/3706.html">烟台市</a>, <a href="37/3707.html">370700000000</a>, <a href="37/3707.html">潍坊市</a>, <a href="37/3708.html">370800000000</a>, <a href="37/3708.html">济宁市</a>, <a href="37/3709.html">370900000000</a>, <a href="37/3709.html">泰安市</a>, <a href="37/3710.html">371000000000</a>, <a href="37/3710.html">威海市</a>, <a href="37/3711.html">371100000000</a>, <a href="37/3711.html">日照市</a>, <a href="37/3713.html">371300000000</a>, <a href="37/3713.html">临沂市</a>, <a href="37/3714.html">371400000000</a>, <a href="37/3714.html">德州市</a>, <a href="37/3715.html">371500000000</a>, <a href="37/3715.html">聊城市</a>, <a href="37/3716.html">371600000000</a>, <a href="37/3716.html">滨州市</a>, <a href="37/3717.html">371700000000</a>, <a href="37/3717.html">菏泽市</a>]
city_list: [<a href="41/4101.html">410100000000</a>, <a href="41/4101.html">郑州市</a>, <a href="41/4102.html">410200000000</a>, <a href="41/4102.html">开封市</a>, <a href="41/4103.html">410300000000</a>, <a href="41/4103.html">洛阳市</a>, <a href="41/4104.html">410400000000</a>, <a href="41/4104.html">平顶山市</a>, <a href="41/4105.html">410500000000</a>, <a href="41/4105.html">安阳市</a>, <a href="41/4106.html">410600000000</a>, <a href="41/4106.html">鹤壁市</a>, <a href="41/4107.html">410700000000</a>, <a href="41/4107.html">新乡市</a>, <a href="41/4108.html">410800000000</a>, <a href="41/4108.html">焦作市</a>, <a href="41/4109.html">410900000000</a>, <a href="41/4109.html">濮阳市</a>, <a href="41/4110.html">411000000000</a>, <a href="41/4110.html">许昌市</a>, <a href="41/4111.html">411100000000</a>, <a href="41/4111.html">漯河市</a>, <a href="41/4112.html">411200000000</a>, <a href="41/4112.html">三门峡市</a>, <a href="41/4113.html">411300000000</a>, <a href="41/4113.html">南阳市</a>, <a href="41/4114.html">411400000000</a>, <a href="41/4114.html">商丘市</a>, <a href="41/4115.html">411500000000</a>, <a href="41/4115.html">信阳市</a>, <a href="41/4116.html">411600000000</a>, <a href="41/4116.html">周口市</a>, <a href="41/4117.html">411700000000</a>, <a href="41/4117.html">驻马店市</a>, <a href="41/4190.html">419000000000</a>, <a href="41/4190.html">省直辖县级行政区划</a>]
city_list: [<a href="42/4201.html">420100000000</a>, <a href="42/4201.html">武汉市</a>, <a href="42/4202.html">420200000000</a>, <a href="42/4202.html">黄石市</a>, <a href="42/4203.html">420300000000</a>, <a href="42/4203.html">十堰市</a>, <a href="42/4205.html">420500000000</a>, <a href="42/4205.html">宜昌市</a>, <a href="42/4206.html">420600000000</a>, <a href="42/4206.html">襄阳市</a>, <a href="42/4207.html">420700000000</a>, <a href="42/4207.html">鄂州市</a>, <a href="42/4208.html">420800000000</a>, <a href="42/4208.html">荆门市</a>, <a href="42/4209.html">420900000000</a>, <a href="42/4209.html">孝感市</a>, <a href="42/4210.html">421000000000</a>, <a href="42/4210.html">荆州市</a>, <a href="42/4211.html">421100000000</a>, <a href="42/4211.html">黄冈市</a>, <a href="42/4212.html">421200000000</a>, <a href="42/4212.html">咸宁市</a>, <a href="42/4213.html">421300000000</a>, <a href="42/4213.html">随州市</a>, <a href="42/4228.html">422800000000</a>, <a href="42/4228.html">恩施土家族苗族自治州</a>, <a href="42/4290.html">429000000000</a>, <a href="42/4290.html">省直辖县级行政区划</a>]
city_list: [<a href="43/4301.html">430100000000</a>, <a href="43/4301.html">长沙市</a>, <a href="43/4302.html">430200000000</a>, <a href="43/4302.html">株洲市</a>, <a href="43/4303.html">430300000000</a>, <a href="43/4303.html">湘潭市</a>, <a href="43/4304.html">430400000000</a>, <a href="43/4304.html">衡阳市</a>, <a href="43/4305.html">430500000000</a>, <a href="43/4305.html">邵阳市</a>, <a href="43/4306.html">430600000000</a>, <a href="43/4306.html">岳阳市</a>, <a href="43/4307.html">430700000000</a>, <a href="43/4307.html">常德市</a>, <a href="43/4308.html">430800000000</a>, <a href="43/4308.html">张家界市</a>, <a href="43/4309.html">430900000000</a>, <a href="43/4309.html">益阳市</a>, <a href="43/4310.html">431000000000</a>, <a href="43/4310.html">郴州市</a>, <a href="43/4311.html">431100000000</a>, <a href="43/4311.html">永州市</a>, <a href="43/4312.html">431200000000</a>, <a href="43/4312.html">怀化市</a>, <a href="43/4313.html">431300000000</a>, <a href="43/4313.html">娄底市</a>, <a href="43/4331.html">433100000000</a>, <a href="43/4331.html">湘西土家族苗族自治州</a>]
city_list: [<a href="44/4401.html">440100000000</a>, <a href="44/4401.html">广州市</a>, <a href="44/4402.html">440200000000</a>, <a href="44/4402.html">韶关市</a>, <a href="44/4403.html">440300000000</a>, <a href="44/4403.html">深圳市</a>, <a href="44/4404.html">440400000000</a>, <a href="44/4404.html">珠海市</a>, <a href="44/4405.html">440500000000</a>, <a href="44/4405.html">汕头市</a>, <a href="44/4406.html">440600000000</a>, <a href="44/4406.html">佛山市</a>, <a href="44/4407.html">440700000000</a>, <a href="44/4407.html">江门市</a>, <a href="44/4408.html">440800000000</a>, <a href="44/4408.html">湛江市</a>, <a href="44/4409.html">440900000000</a>, <a href="44/4409.html">茂名市</a>, <a href="44/4412.html">441200000000</a>, <a href="44/4412.html">肇庆市</a>, <a href="44/4413.html">441300000000</a>, <a href="44/4413.html">惠州市</a>, <a href="44/4414.html">441400000000</a>, <a href="44/4414.html">梅州市</a>, <a href="44/4415.html">441500000000</a>, <a href="44/4415.html">汕尾市</a>, <a href="44/4416.html">441600000000</a>, <a href="44/4416.html">河源市</a>, <a href="44/4417.html">441700000000</a>, <a href="44/4417.html">阳江市</a>, <a href="44/4418.html">441800000000</a>, <a href="44/4418.html">清远市</a>, <a href="44/4419.html">441900000000</a>, <a href="44/4419.html">东莞市</a>, <a href="44/4420.html">442000000000</a>, <a href="44/4420.html">中山市</a>, <a href="44/4451.html">445100000000</a>, <a href="44/4451.html">潮州市</a>, <a href="44/4452.html">445200000000</a>, <a href="44/4452.html">揭阳市</a>, <a href="44/4453.html">445300000000</a>, <a href="44/4453.html">云浮市</a>]
city_list: [<a href="45/4501.html">450100000000</a>, <a href="45/4501.html">南宁市</a>, <a href="45/4502.html">450200000000</a>, <a href="45/4502.html">柳州市</a>, <a href="45/4503.html">450300000000</a>, <a href="45/4503.html">桂林市</a>, <a href="45/4504.html">450400000000</a>, <a href="45/4504.html">梧州市</a>, <a href="45/4505.html">450500000000</a>, <a href="45/4505.html">北海市</a>, <a href="45/4506.html">450600000000</a>, <a href="45/4506.html">防城港市</a>, <a href="45/4507.html">450700000000</a>, <a href="45/4507.html">钦州市</a>, <a href="45/4508.html">450800000000</a>, <a href="45/4508.html">贵港市</a>, <a href="45/4509.html">450900000000</a>, <a href="45/4509.html">玉林市</a>, <a href="45/4510.html">451000000000</a>, <a href="45/4510.html">百色市</a>, <a href="45/4511.html">451100000000</a>, <a href="45/4511.html">贺州市</a>, <a href="45/4512.html">451200000000</a>, <a href="45/4512.html">河池市</a>, <a href="45/4513.html">451300000000</a>, <a href="45/4513.html">来宾市</a>, <a href="45/4514.html">451400000000</a>, <a href="45/4514.html">崇左市</a>]
city_list: [<a href="46/4601.html">460100000000</a>, <a href="46/4601.html">海口市</a>, <a href="46/4602.html">460200000000</a>, <a href="46/4602.html">三亚市</a>, <a href="46/4603.html">460300000000</a>, <a href="46/4603.html">三沙市</a>, <a href="46/4604.html">460400000000</a>, <a href="46/4604.html">儋州市</a>, <a href="46/4690.html">469000000000</a>, <a href="46/4690.html">省直辖县级行政区划</a>]
city_list: [<a href="50/5001.html">500100000000</a>, <a href="50/5001.html">市辖区</a>, <a href="50/5002.html">500200000000</a>, <a href="50/5002.html">县</a>]
city_list: [<a href="51/5101.html">510100000000</a>, <a href="51/5101.html">成都市</a>, <a href="51/5103.html">510300000000</a>, <a href="51/5103.html">自贡市</a>, <a href="51/5104.html">510400000000</a>, <a href="51/5104.html">攀枝花市</a>, <a href="51/5105.html">510500000000</a>, <a href="51/5105.html">泸州市</a>, <a href="51/5106.html">510600000000</a>, <a href="51/5106.html">德阳市</a>, <a href="51/5107.html">510700000000</a>, <a href="51/5107.html">绵阳市</a>, <a href="51/5108.html">510800000000</a>, <a href="51/5108.html">广元市</a>, <a href="51/5109.html">510900000000</a>, <a href="51/5109.html">遂宁市</a>, <a href="51/5110.html">511000000000</a>, <a href="51/5110.html">内江市</a>, <a href="51/5111.html">511100000000</a>, <a href="51/5111.html">乐山市</a>, <a href="51/5113.html">511300000000</a>, <a href="51/5113.html">南充市</a>, <a href="51/5114.html">511400000000</a>, <a href="51/5114.html">眉山市</a>, <a href="51/5115.html">511500000000</a>, <a href="51/5115.html">宜宾市</a>, <a href="51/5116.html">511600000000</a>, <a href="51/5116.html">广安市</a>, <a href="51/5117.html">511700000000</a>, <a href="51/5117.html">达州市</a>, <a href="51/5118.html">511800000000</a>, <a href="51/5118.html">雅安市</a>, <a href="51/5119.html">511900000000</a>, <a href="51/5119.html">巴中市</a>, <a href="51/5120.html">512000000000</a>, <a href="51/5120.html">资阳市</a>, <a href="51/5132.html">513200000000</a>, <a href="51/5132.html">阿坝藏族羌族自治州</a>, <a href="51/5133.html">513300000000</a>, <a href="51/5133.html">甘孜藏族自治州</a>, <a href="51/5134.html">513400000000</a>, <a href="51/5134.html">凉山彝族自治州</a>]
city_list: [<a href="52/5201.html">520100000000</a>, <a href="52/5201.html">贵阳市</a>, <a href="52/5202.html">520200000000</a>, <a href="52/5202.html">六盘水市</a>, <a href="52/5203.html">520300000000</a>, <a href="52/5203.html">遵义市</a>, <a href="52/5204.html">520400000000</a>, <a href="52/5204.html">安顺市</a>, <a href="52/5205.html">520500000000</a>, <a href="52/5205.html">毕节市</a>, <a href="52/5206.html">520600000000</a>, <a href="52/5206.html">铜仁市</a>, <a href="52/5223.html">522300000000</a>, <a href="52/5223.html">黔西南布依族苗族自治州</a>, <a href="52/5226.html">522600000000</a>, <a href="52/5226.html">黔东南苗族侗族自治州</a>, <a href="52/5227.html">522700000000</a>, <a href="52/5227.html">黔南布依族苗族自治州</a>]
city_list: [<a href="53/5301.html">530100000000</a>, <a href="53/5301.html">昆明市</a>, <a href="53/5303.html">530300000000</a>, <a href="53/5303.html">曲靖市</a>, <a href="53/5304.html">530400000000</a>, <a href="53/5304.html">玉溪市</a>, <a href="53/5305.html">530500000000</a>, <a href="53/5305.html">保山市</a>, <a href="53/5306.html">530600000000</a>, <a href="53/5306.html">昭通市</a>, <a href="53/5307.html">530700000000</a>, <a href="53/5307.html">丽江市</a>, <a href="53/5308.html">530800000000</a>, <a href="53/5308.html">普洱市</a>, <a href="53/5309.html">530900000000</a>, <a href="53/5309.html">临沧市</a>, <a href="53/5323.html">532300000000</a>, <a href="53/5323.html">楚雄彝族自治州</a>, <a href="53/5325.html">532500000000</a>, <a href="53/5325.html">红河哈尼族彝族自治州</a>, <a href="53/5326.html">532600000000</a>, <a href="53/5326.html">文山壮族苗族自治州</a>, <a href="53/5328.html">532800000000</a>, <a href="53/5328.html">西双版纳傣族自治州</a>, <a href="53/5329.html">532900000000</a>, <a href="53/5329.html">大理白族自治州</a>, <a href="53/5331.html">533100000000</a>, <a href="53/5331.html">德宏傣族景颇族自治州</a>, <a href="53/5333.html">533300000000</a>, <a href="53/5333.html">怒江傈僳族自治州</a>, <a href="53/5334.html">533400000000</a>, <a href="53/5334.html">迪庆藏族自治州</a>]
city_list: [<a href="54/5401.html">540100000000</a>, <a href="54/5401.html">拉萨市</a>, <a href="54/5402.html">540200000000</a>, <a href="54/5402.html">日喀则市</a>, <a href="54/5403.html">540300000000</a>, <a href="54/5403.html">昌都市</a>, <a href="54/5404.html">540400000000</a>, <a href="54/5404.html">林芝市</a>, <a href="54/5405.html">540500000000</a>, <a href="54/5405.html">山南市</a>, <a href="54/5406.html">540600000000</a>, <a href="54/5406.html">那曲市</a>, <a href="54/5425.html">542500000000</a>, <a href="54/5425.html">阿里地区</a>]
city_list: [<a href="61/6101.html">610100000000</a>, <a href="61/6101.html">西安市</a>, <a href="61/6102.html">610200000000</a>, <a href="61/6102.html">铜川市</a>, <a href="61/6103.html">610300000000</a>, <a href="61/6103.html">宝鸡市</a>, <a href="61/6104.html">610400000000</a>, <a href="61/6104.html">咸阳市</a>, <a href="61/6105.html">610500000000</a>, <a href="61/6105.html">渭南市</a>, <a href="61/6106.html">610600000000</a>, <a href="61/6106.html">延安市</a>, <a href="61/6107.html">610700000000</a>, <a href="61/6107.html">汉中市</a>, <a href="61/6108.html">610800000000</a>, <a href="61/6108.html">榆林市</a>, <a href="61/6109.html">610900000000</a>, <a href="61/6109.html">安康市</a>, <a href="61/6110.html">611000000000</a>, <a href="61/6110.html">商洛市</a>]
city_list: [<a href="62/6201.html">620100000000</a>, <a href="62/6201.html">兰州市</a>, <a href="62/6202.html">620200000000</a>, <a href="62/6202.html">嘉峪关市</a>, <a href="62/6203.html">620300000000</a>, <a href="62/6203.html">金昌市</a>, <a href="62/6204.html">620400000000</a>, <a href="62/6204.html">白银市</a>, <a href="62/6205.html">620500000000</a>, <a href="62/6205.html">天水市</a>, <a href="62/6206.html">620600000000</a>, <a href="62/6206.html">武威市</a>, <a href="62/6207.html">620700000000</a>, <a href="62/6207.html">张掖市</a>, <a href="62/6208.html">620800000000</a>, <a href="62/6208.html">平凉市</a>, <a href="62/6209.html">620900000000</a>, <a href="62/6209.html">酒泉市</a>, <a href="62/6210.html">621000000000</a>, <a href="62/6210.html">庆阳市</a>, <a href="62/6211.html">621100000000</a>, <a href="62/6211.html">定西市</a>, <a href="62/6212.html">621200000000</a>, <a href="62/6212.html">陇南市</a>, <a href="62/6229.html">622900000000</a>, <a href="62/6229.html">临夏回族自治州</a>, <a href="62/6230.html">623000000000</a>, <a href="62/6230.html">甘南藏族自治州</a>]
city_list: [<a href="63/6301.html">630100000000</a>, <a href="63/6301.html">西宁市</a>, <a href="63/6302.html">630200000000</a>, <a href="63/6302.html">海东市</a>, <a href="63/6322.html">632200000000</a>, <a href="63/6322.html">海北藏族自治州</a>, <a href="63/6323.html">632300000000</a>, <a href="63/6323.html">黄南藏族自治州</a>, <a href="63/6325.html">632500000000</a>, <a href="63/6325.html">海南藏族自治州</a>, <a href="63/6326.html">632600000000</a>, <a href="63/6326.html">果洛藏族自治州</a>, <a href="63/6327.html">632700000000</a>, <a href="63/6327.html">玉树藏族自治州</a>, <a href="63/6328.html">632800000000</a>, <a href="63/6328.html">海西蒙古族藏族自治州</a>]
city_list: [<a href="64/6401.html">640100000000</a>, <a href="64/6401.html">银川市</a>, <a href="64/6402.html">640200000000</a>, <a href="64/6402.html">石嘴山市</a>, <a href="64/6403.html">640300000000</a>, <a href="64/6403.html">吴忠市</a>, <a href="64/6404.html">640400000000</a>, <a href="64/6404.html">固原市</a>, <a href="64/6405.html">640500000000</a>, <a href="64/6405.html">中卫市</a>]
city_list: [<a href="65/6501.html">650100000000</a>, <a href="65/6501.html">乌鲁木齐市</a>, <a href="65/6502.html">650200000000</a>, <a href="65/6502.html">克拉玛依市</a>, <a href="65/6504.html">650400000000</a>, <a href="65/6504.html">吐鲁番市</a>, <a href="65/6505.html">650500000000</a>, <a href="65/6505.html">哈密市</a>, <a href="65/6523.html">652300000000</a>, <a href="65/6523.html">昌吉回族自治州</a>, <a href="65/6527.html">652700000000</a>, <a href="65/6527.html">博尔塔拉蒙古自治州</a>, <a href="65/6528.html">652800000000</a>, <a href="65/6528.html">巴音郭楞蒙古自治州</a>, <a href="65/6529.html">652900000000</a>, <a href="65/6529.html">阿克苏地区</a>, <a href="65/6530.html">653000000000</a>, <a href="65/6530.html">克孜勒苏柯尔克孜自治州</a>, <a href="65/6531.html">653100000000</a>, <a href="65/6531.html">喀什地区</a>, <a href="65/6532.html">653200000000</a>, <a href="65/6532.html">和田地区</a>, <a href="65/6540.html">654000000000</a>, <a href="65/6540.html">伊犁哈萨克自治州</a>, <a href="65/6542.html">654200000000</a>, <a href="65/6542.html">塔城地区</a>, <a href="65/6543.html">654300000000</a>, <a href="65/6543.html">阿勒泰地区</a>, <a href="65/6590.html">659000000000</a>, <a href="65/6590.html">自治区直辖县级行政区划</a>]

现有上述city_list列表,请问如何实现依次读取如654300000000做为city_code,读取如阿勒泰地区做为city_name?
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发表于 2024-4-12 21:43:34 | 显示全部楼层
凊风 发表于 2024-04-12 21:43
city_list:
city_list:
city_list:
city_list:
...


如果你的`city_list`列表包含了多个城市的数据,每个城市的信息都是以字符串的形式保存,那么你可以使用一个循环来依次读取`city_list`中的每个元素,并从每个元素中提取出`city_code`和`city_name`。下面是一个示例代码:city_list = ["654300000000", "阿勒泰地区", ...]# 逐个读取city_list中的元素for i in range(0, len(city_list), 2):    city_code = city_list[i]    city_name = city_list[i + 1]    print("City Code:", city_code)    print("City Name:", city_name)    print()在这个示例中,我们使用了一个`for`循环来遍历`city_list`列表中的元素。由于每个城市的`city_code`和`city_name`相邻存储,因此我们可以通过索引值的方式来读取它们。在每次循环迭代中,我们将当前元素作为`city_code`,并将下一个元素作为`city_name`。然后,通过打印语句输出了每个城市的`city_code`和`city_name`。你可以根据实际情况对代码进行修改,比如将`city_code`和`city_name`存储在变量中,或者进行其他操作。希望对你有所帮助!

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 楼主| 发表于 2024-4-12 21:45:18 | 显示全部楼层
FishC 发表于 2024-4-12 21:43
如果你的`city_list`列表包含了多个城市的数据,每个城市的信息都是以字符串的形式保存,那么你可以使 ...

回复请注意python格式
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发表于 2024-4-12 21:45:32 | 显示全部楼层
凊风 发表于 2024-04-12 21:45
回复请注意python格式


非常抱歉在之前的回答中出现了代码格式的问题。下面是修改后的正确Python代码:
= ["654300000000", "阿勒泰地区", "654200000000", "塔城地区", "650100000000", "乌鲁木齐市"]for i in range(0, len(city_list), 2):    city_code = city_list[i]    city_name = city_list[i+1]    print("City Code:", city_code)    print("City Name:", city_name)    print()
在这个示例中,我们假设`city_list`列表中的元素按照城市编码和城市名称的顺序交替存储。使用`range`函数和步长为2的方式,可以遍历每个城市的信息。在每次循环迭代中,我们通过索引值来分别获取`city_code`和`city_name`。然后,我们使用`print`语句将每个城市的编码和名称打印出来。你可以根据实际需求对代码进行修改,例如将`city_code`和`city_name`存储在变量中,或者进行其他操作。再次对前述错误表示歉意,希望这次能够帮助到你!

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 楼主| 发表于 2024-4-12 22:14:58 | 显示全部楼层
FishC 发表于 2024-4-12 21:45
非常抱歉在之前的回答中出现了代码格式的问题。下面是修改后的正确Python代码:在这个示例中,我们假设 ...

'E:/Temp/行政区划1.xlsx'要以“编码”列为索引重新排序一下,应该怎么写?
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发表于 2024-4-12 22:15:21 | 显示全部楼层
凊风 发表于 2024-04-12 22:14
'E:/Temp/行政区划1.xlsx'要以“编码”列为索引重新排 ...


你可以使用pandas库来读取Excel文件并按照指定列重新排序。下面是一个示例代码:
import pandas as pd

# 读取Excel文件
df = pd.read_excel('E:/Temp/行政区划1.xlsx')

# 按照“编码”列重新排序
df.sort_values(by='编码', inplace=True)

# 如果需要将重新排序后的结果保存到新的Excel文件中
# df.to_excel('E:/Temp/行政区划1_sorted.xlsx', index=False)

# 打印重新排序后的结果
print(df)

在这个示例中,我们首先使用pandas的`read_excel`函数读取Excel文件,然后使用`sort_values`方法按照“编码”列进行排序。如果需要将重新排序后的结果保存到新的Excel文件中,可以使用`to_excel`方法。希望对你有所帮助!

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 楼主| 发表于 2024-4-12 22:16:52 | 显示全部楼层
FishC 发表于 2024-4-12 22:15
你可以使用pandas库来读取Excel文件并按照指定列重新排序。下面是一个示例代码:

能不能写成一个可以带排序参数的函数?
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发表于 2024-4-12 22:17:01 | 显示全部楼层
凊风 发表于 2024-04-12 22:16
能不能写成一个可以带排序参数的函数?


当然可以!你可以将代码封装到一个函数中,使其接受文件路径和排序参数作为输入,并返回重新排序后的数据。下面是一个示例代码:import pandas as pddef sort_excel_by_column(file_path, column_name):    # 读取Excel文件    df = pd.read_excel(file_path)    # 按照指定列重新排序    df.sort_values(by=column_name, inplace=True)    return df# 测试函数file_path = 'E:/Temp/行政区划1.xlsx'sorted_df = sort_excel_by_column(file_path, '编码')print(sorted_df)在这个示例中,我们定义了一个名为`sort_excel_by_column`的函数,该函数接受文件路径和排序参数作为输入。函数内部使用pandas读取Excel文件,并按照指定的列进行排序。最后,返回重新排序后的DataFrame对象。你可以传递不同的文件路径和列名来调用这个函数,以实现不同的排序需求。希望对你有所帮助!

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 楼主| 发表于 2024-4-12 22:17:22 | 显示全部楼层
FishC 发表于 2024-4-12 22:17
当然可以!你可以将代码封装到一个函数中,使其接受文件路径和排序参数作为输入,并返回重新排序后的数 ...

回复请注意Python格式
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发表于 2024-4-12 22:17:40 | 显示全部楼层
凊风 发表于 2024-04-12 22:17
回复请注意Python格式


好的,我会注意使用Python格式。

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 楼主| 发表于 2024-4-12 22:18:26 | 显示全部楼层
FishC 发表于 2024-4-12 22:17
当然可以!你可以将代码封装到一个函数中,使其接受文件路径和排序参数作为输入,并返回重新排序后的数 ...

回复请注意Python格式和代码说明
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发表于 2024-4-12 22:18:49 | 显示全部楼层
凊风 发表于 2024-04-12 22:18
回复请注意Python格式和代码说明


非常抱歉,我之前的回答似乎没有按照你的要求提供Python格式和代码说明。以下是按照你的要求重新格式化的代码以及相应的说明:

首先是用户界面的代码:
import sys
from PySide6.QtWidgets import QApplication, QMainWindow, QComboBox, QLabel

class MainWindow(QMainWindow):
    def __init__(self, parent=None):
        super().__init__(parent)
        self.setWindowTitle("行政区划选择")
        self.comboBox = QComboBox(self)
        self.comboBox.move(50, 50)
        self.comboBox.currentIndexChanged.connect(self.onIndexChanged)
        self.label = QLabel(self)
        self.label.move(200, 50)
        self.loadDistricts()  # 加载行政区划数据

    def loadDistricts(self):
        # 这里假设你的行政区划数据保存在一个列表中
        districts = ['区划1', '区划2', '区划3']  # 用你的实际数据替换这里
        self.comboBox.addItems(districts)

    def onIndexChanged(self, index):
        # 获取当前选择的行政区划
        district = self.comboBox.currentText()
        self.label.setText(f"你选择的行政区划是:{district}")

if __name__ == "__main__":
    app = QApplication(sys.argv)
    window = MainWindow()
    window.show()
    sys.exit(app.exec())

接下来是带排序参数的函数的代码:
import pandas as pd

def sort_excel_by_column(file_path, column_name):
    # 读取Excel文件
    df = pd.read_excel(file_path)
    # 按照指定列重新排序
    df.sort_values(by=column_name, inplace=True)
    return df

# 测试函数
file_path = 'E:/Temp/行政区划1.xlsx'  # 替换为你的文件路径
sorted_df = sort_excel_by_column(file_path, '编码')  # 指定列名进行排序
print(sorted_df)

希望这次提供的格式符合你的要求,如果还有其他需要,请随时告诉我。

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 楼主| 发表于 2024-4-12 22:30:28 | 显示全部楼层
FishC 发表于 2024-4-12 22:18
非常抱歉,我之前的回答似乎没有按照你的要求提供Python格式和代码说明。以下是按照你的要求重新格式化 ...

我pandas总是安装不成功,能不能不要用pandas?

ERROR: Exception:
Traceback (most recent call last):
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 438, in _error_catcher      
    yield
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 561, in read
    data = self._fp_read(amt) if not fp_closed else b""
           ^^^^^^^^^^^^^^^^^^
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 527, in _fp_read
    return self._fp.read(amt) if amt is not None else self._fp.read()
           ^^^^^^^^^^^^^^^^^^
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_vendor\cachecontrol\filewrapper.py", line 90, in read
    data = self.__fp.read(amt)
           ^^^^^^^^^^^^^^^^^^^
  File "D:\Tools\Python\Lib\http\client.py", line 466, in read
    s = self.fp.read(amt)
        ^^^^^^^^^^^^^^^^^
  File "D:\Tools\Python\Lib\socket.py", line 706, in readinto
    return self._sock.recv_into(b)
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Tools\Python\Lib\ssl.py", line 1311, in recv_into
    return self.read(nbytes, buffer)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Tools\Python\Lib\ssl.py", line 1167, in read
    return self._sslobj.read(len, buffer)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TimeoutError: The read operation timed out

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_internal\cli\base_command.py", line 180, in exc_logging_wrappe
r
    status = run_func(*args)
             ^^^^^^^^^^^^^^^
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_internal\cli\req_command.py", line 248, in wrapper
    return func(self, options, args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_internal\commands\install.py", line 377, in run
    requirement_set = resolver.resolve(
                      ^^^^^^^^^^^^^^^^^
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py", line 161, in reso
lve
    self.factory.preparer.prepare_linked_requirements_more(reqs)
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_internal\operations\prepare.py", line 565, in prepare_linked_r
equirements_more
    self._complete_partial_requirements(
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_internal\operations\prepare.py", line 479, in _complete_partia
l_requirements
    for link, (filepath, _) in batch_download:
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_internal\network\download.py", line 183, in __call__
    for chunk in chunks:
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_internal\cli\progress_bars.py", line 53, in _rich_progress_bar
    for chunk in iterable:
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_internal\network\utils.py", line 63, in response_chunks      
    for chunk in response.raw.stream(
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 622, in stream
    data = self.read(amt=amt, decode_content=decode_content)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 560, in read
    with self._error_catcher():
  File "D:\Tools\Python\Lib\contextlib.py", line 155, in __exit__
    self.gen.throw(typ, value, traceback)
  File "D:\Python\pythonProject\.venv\Lib\site-packages\pip\_vendor\urllib3\response.py", line 443, in _error_catcher      
    raise ReadTimeoutError(self._pool, None, "Read timed out.")
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed o
ut.
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发表于 2024-4-12 22:30:40 | 显示全部楼层
凊风 发表于 2024-04-12 22:30
我pandas总是安装不成功,能不能不要用pandas?

ERR ...


非常抱歉你遇到了安装pandas的问题。如果你无法安装pandas,我们可以使用其他方法来实现行政区划的排序。

一种替代方案是使用Python内置的CSV模块来读取和排序CSV文件。以下是示例代码:
import csv

def load_districts(file_path):
    districts = []
    with open(file_path, 'r', encoding='utf-8') as file:
        reader = csv.reader(file)
        for row in reader:
            districts.append(row[0])  # 假设行政区划在第一列
    return districts

def sort_districts(districts):
    sorted_districts = sorted(districts)
    return sorted_districts

# 测试函数
file_path = 'path/to/your/csv_file.csv'  # 替换为你的CSV文件路径
districts = load_districts(file_path)
sorted_districts = sort_districts(districts)
print(sorted_districts)

在这个示例中,我们首先定义了两个函数。`load_districts`函数用于从CSV文件中加载行政区划数据,假设行政区划在第一列。`sort_districts`函数用于对行政区划进行排序。

然后,我们调用这两个函数,传入CSV文件的路径,以获取排序后的行政区划列表。

请注意,这只是一个示例,你需要根据你实际的CSV文件格式进行适当的修改。

希望这个替代方案对你有帮助!如果还有其他问题,请随时提问。

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 楼主| 发表于 2024-4-12 22:31:52 | 显示全部楼层
FishC 发表于 2024-4-12 22:30
非常抱歉你遇到了安装pandas的问题。如果你无法安装pandas,我们可以使用其他方法来实现行政区划的排序 ...

我是xlsx工作簿....
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发表于 2024-4-12 22:32:06 | 显示全部楼层
凊风 发表于 2024-04-12 22:31
我是xlsx工作簿....


非常抱歉之前的回答没有考虑到你使用的是XLSX工作簿。对于XLSX文件,我们可以使用openpyxl库来读取和操作Excel文件。以下是一个示例代码,它演示了如何使用openpyxl库来加载和排序行政区划数据:
import openpyxl

def load_districts(file_path):
    districts = []
    workbook = openpyxl.load_workbook(file_path)
    sheet = workbook.active
    for row in sheet.iter_rows(values_only=True):
        districts.append(row[0])  # 假设行政区划在第一列
    return districts

def sort_districts(districts):
    sorted_districts = sorted(districts)
    return sorted_districts

# 测试函数
file_path = 'path/to/your/excel_file.xlsx'  # 替换为你的XLSX文件路径
districts = load_districts(file_path)
sorted_districts = sort_districts(districts)
print(sorted_districts)

在这个示例中,我们使用了openpyxl库的`load_workbook()`方法来加载XLSX文件。然后,我们选择活动工作表并使用`iter_rows()`方法迭代每一行数据。我们假设行政区划数据在第一列,并将其添加到列表中。最后,我们调用`sort_districts()`函数来对行政区划进行排序。

请注意,需要提前使用pip安装openpyxl库:`pip install openpyxl`。

希望这次回答能够解决你的问题!如果还有其他疑问,请随时提问。

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 楼主| 发表于 2024-4-12 22:35:23 | 显示全部楼层
FishC 发表于 2024-4-12 22:32
非常抱歉之前的回答没有考虑到你使用的是XLSX工作簿。对于XLSX文件,我们可以使用openpyxl库来读取和操 ...

我的是xlsx工作簿,希望FishC不要用pandas写一个可以传入准备作为索引的参数,对指定路径下的(如E:\Temp\123.xlsx进行排序)
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发表于 2024-4-12 22:35:40 | 显示全部楼层
凊风 发表于 2024-04-12 22:35
我的是xlsx工作簿,希望FishC不要用pandas写一个可以 ...


好的,我理解你的需求。下面是使用openpyxl库来对指定路径下的XLSX文件进行排序的示例代码:import openpyxldef sort_xlsx_file(file_path, index_col):    workbook = openpyxl.load_workbook(file_path)    sheet = workbook.active    data = []    for row in sheet.iter_rows(values_only=True):        data.append(row)    sorted_data = sorted(data, key=lambda x: x[index_col])    for idx, row in enumerate(sorted_data, start=1):        for col_idx, value in enumerate(row, start=1):            sheet.cell(row=idx, column=col_idx).value = value    workbook.save(file_path)    print("文件排序完成!")# 测试函数file_path = r'E:\Temp\123.xlsx'index_col = 0  # 假设第一列是索引列(从0开始)sort_xlsx_file(file_path, index_col)在这个示例中,我们定义了一个名为`sort_xlsx_file()`的函数,它接受两个参数:`file_path`表示要排序的XLSX文件路径,`index_col`表示要作为索引进行排序的列(从0开始)。首先,我们加载XLSX文件并选择活动工作表。然后,我们迭代每一行数据并将其保存在一个列表中。接下来,我们使用`sorted()`函数和`key`参数来对数据进行排序,按照指定的索引列进行排序。最后,我们将排序后的数据写回到工作表中,并保存XLSX文件。请注意,需要提前使用pip安装openpyxl库:`pip install openpyxl`。希望这次回答能满足你的需求!如果还有其他问题,请随时提问。

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