poi统计

POST

https://open.isjike.com/api/guopai/poi_statistics/gzgp

请求参数

Header 参数

Body 参数text/plain

示例

示例值:/3uCWzeXsqZX1J2kwBOsyZnUEWFNkDFpTAFY6HS7MXydC0i4UGdwcnCXR1o0UqmfVzf5HO62MDsQMPNpsXvxk2ft09yLMJI1Ym7Xkl5rLsNfz297k8u0qXHAV/XN++YEonn+XFFKmggFRdKahOsPYARhKg2rSyHo3ff413Wh29k=

请求示例代码

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://open.isjike.com/api/guopai/poi_statistics/gzgp' \
--header 'Authori-zation: {{token}}' \
--header 'source: {{source}}' \
--header 'Content-Type: text/plain' \
--data-raw '/3uCWzeXsqZX1J2kwBOsyZnUEWFNkDFpTAFY6HS7MXydC0i4UGdwcnCXR1o0UqmfVzf5HO62MDsQMPNpsXvxk2ft09yLMJI1Ym7Xkl5rLsNfz297k8u0qXHAV/XN++YEonn+XFFKmggFRdKahOsPYARhKg2rSyHo3ff413Wh29k='

返回响应

🟢200成功

application/json

Body

示例

商圈测试

{"人口数量": {"常驻人群": 341527.0, "工作人群": 205417.0, "居住人群": 143358.0}, "交通": {"地铁站": {"数量": 5, "密度": 0.009562295486405286}, "公交站": {"数量": 53, "密度": 0.10136033215589603}, "停车场": {"数量": 483, "密度": 0.9237177439867506}, "加油加气站": {"数量": 2, "密度": 0.0038249181945621143}}, "地产": {"住宅小区": {"数量": 126, "密度": 0.2409698462574132}, "别墅": {"数量": 2, "密度": 0.0038249181945621143}, "写字楼": {"数量": 117, "密度": 0.2237577143818837}, "工业区": {"数量": 3, "密度": 0.005737377291843171}, "产业园区": {"数量": 19, "密度": 0.03633672284834009}}, "医院": {"三甲医院": {"数量": 0, "密度": 0.0}, "专科医院": {"数量": 38, "密度": 0.07267344569668018}}, "文教旅游": {"学校": {"数量": 12, "密度": 0.022949509167372685}, "各类展馆": {"数量": 4, "密度": 0.007649836389124229}, "名胜古迹": {"数量": 1, "密度": 0.0019124590972810572}, "酒店宾馆": {"数量": 84, "密度": 0.1606465641716088}}, "商业购物": {"购物中心": {"数量": 12, "密度": 0.022949509167372685}, "百货商场": {"数量": 2, "密度": 0.0038249181945621143}, "超市": {"数量": 49, "密度": 0.0937104957667718}, "便利店": {"数量": 116, "密度": 0.22184525528460264}, "水果生鲜": {"数量": 39, "密度": 0.07458590479396122}, "运动户外": {"数量": 72, "密度": 0.13769705500423612}, "手机数码": {"数量": 23, "密度": 0.043986559237464314}, "家居建材": {"数量": 48, "密度": 0.09179803666949074}}, "餐饮": {"中餐厅": {"数量": 399, "密度": 0.7630711798151418}, "外国餐厅": {"数量": 239, "密度": 0.4570777242501726}, "小吃快餐": {"数量": 543, "密度": 1.038465289823614}, "咖啡茶饮烘焙": {"数量": 558, "密度": 1.0671521762828298}}}

修改于 2024-07-09 02:32:49

客户api修正记录

人群特征统计