city-data.js 1.7 KB

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  1. // 模拟的省市区数据
  2. // 真实项目中建议使用完整的城市数据JS或JSON文件
  3. export const cityData = [
  4. {
  5. "id":"110000",
  6. "pid":"0",
  7. "name": "北京",
  8. "children": [
  9. {
  10. "id":"110100",
  11. "pid":"110000",
  12. "name": "北京市",
  13. "children": [
  14. { "id":"110101","pid":"110100","name": "东城区" },
  15. { "id":"110102","pid":"110100","name": "西城区" },
  16. ]
  17. }
  18. ]
  19. },
  20. {
  21. "name": "浙江省",
  22. "children": [
  23. {
  24. "name": "杭州市",
  25. "children": [
  26. { "name": "上城区" },
  27. { "name": "下城区" },
  28. { "name": "江干区" },
  29. { "name": "拱墅区" },
  30. { "name": "西湖区" },
  31. { "name": "滨江区" }
  32. ]
  33. },
  34. {
  35. "name": "宁波市",
  36. "children": [
  37. { "name": "海曙区" },
  38. { "name": "江北区" },
  39. { "name": "镇海区" },
  40. { "name": "北仑区" }
  41. ]
  42. },
  43. {
  44. "name": "温州市",
  45. "children": [
  46. { "name": "鹿城区" },
  47. { "name": "龙湾区" },
  48. { "name": "瓯海区" },
  49. { "name": "萧山区" }
  50. ]
  51. }
  52. ]
  53. },
  54. {
  55. "name": "江苏省",
  56. "children": [
  57. {
  58. "name": "南京市",
  59. "children": [
  60. { "name": "玄武区" },
  61. { "name": "秦淮区" },
  62. { "name": "建邺区" }
  63. ]
  64. },
  65. {
  66. "name": "苏州市",
  67. "children": [
  68. { "name": "姑苏区" },
  69. { "name": "虎丘区" },
  70. { "name": "吴中区" }
  71. ]
  72. }
  73. ]
  74. },
  75. // ... 其他省份
  76. ];
  77. // 热门城市
  78. export const hotCities = ['北京', '上海', '广州', '深圳', '杭州', '南京'];