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geocoder

geocoder

github.com/dkyazzentwatwa数据与数据库12465 次安装29 周前更新
代码仓库

关于 geocoder

geocoder 是用于地址与地理坐标相互转换的 Python 库和命令行工具,支持 CSV 批处理、结构化地址组件和结果缓存,并可选择 Nominatim、Google 或 Bing。

主要功能

  1. 01地址与坐标相互转换
  2. 02CSV 批处理
  3. 03支持 Nominatim、Google 和 Bing
  4. 04解析结构化地址组件
  5. 05缓存查询结果

适用场景

  1. 01将客户地址转换为坐标
  2. 02为地点坐标补充地址
  3. 03标准化并核验地址

安装

复制下面的命令,在终端中运行。

$npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill geocoder

安装后在 Claude Code 中输入/geocoder确认已加载。

附带文件scripts/geocoder.pyscripts/requirements.txt

详细介绍

地理编码器

在地址与地理坐标之间进行转换。

功能

  • 地理编码:将地址转换为坐标
  • 反向地理编码:将坐标转换为地址
  • 批量处理:处理 CSV 文件
  • 多个提供方:Nominatim(免费)、Google、Bing
  • 地址组成部分:结构化地址解析
  • 缓存:内置结果缓存

快速开始

from geocoder import Geocoder

geo = Geocoder()

# Address to coordinates
result = geo.geocode("1600 Amphitheatre Parkway, Mountain View, CA")
print(f"Coordinates: {result['lat']}, {result['lon']}")

# Coordinates to address
result = geo.reverse(37.4224, -122.0840)
print(f"Address: {result['address']}")

CLI 用法

# Geocode address
python geocoder.py --geocode "Empire State Building, New York"

# Reverse geocode
python geocoder.py --reverse "40.7484,-73.9857"

# Batch geocode CSV
python geocoder.py --input addresses.csv --column address --output geocoded.csv

# Batch reverse geocode
python geocoder.py --input coords.csv --lat lat --lon lon --reverse-batch --output addresses.csv

API 参考

Geocoder 类
class Geocoder:
    def __init__(self, provider: str = "nominatim", api_key: str = None)

    # Single operations
    def geocode(self, address: str) -> dict
    def reverse(self, lat: float, lon: float) -> dict

    # Batch operations
    def batch_geocode(self, addresses: list, delay: float = 1.0) -> list
    def batch_reverse(self, coordinates: list, delay: float = 1.0) -> list

    # File operations
    def geocode_csv(self, input: str, column: str, output: str) -> str
    def reverse_csv(self, input: str, lat: str, lon: str, output: str) -> str

提供方

Nominatim(默认)
  • 免费,无需 API 密钥
  • 有速率限制(每秒 1 个请求)
  • 使用 OpenStreetMap 数据
Google Maps
geo = Geocoder(provider="google", api_key="YOUR_KEY")
Bing Maps
geo = Geocoder(provider="bing", api_key="YOUR_KEY")

地理编码结果

{
    "address": "1600 Amphitheatre Parkway, Mountain View, CA",
    "lat": 37.4224764,
    "lon": -122.0842499,
    "components": {
        "house_number": "1600",
        "road": "Amphitheatre Parkway",
        "city": "Mountain View",
        "state": "California",
        "postcode": "94043",
        "country": "United States"
    },
    "raw": {...}  # Provider-specific data
}

反向地理编码结果

{
    "lat": 40.7484,
    "lon": -73.9857,
    "address": "20 W 34th St, New York, NY 10001, USA",
    "components": {
        "house_number": "20",
        "road": "West 34th Street",
        "city": "New York",
        "state": "New York",
        "postcode": "10001",
        "country": "United States"
    }
}

工作流示例

对客户地址进行地理编码
geo = Geocoder()
result = geo.geocode_csv(
    input="customers.csv",
    column="shipping_address",
    output="customers_geocoded.csv"
)
print(f"Geocoded {result['success']} of {result['total']} addresses")
验证地址
geo = Geocoder()
address = "123 Main St, Anytown"

result = geo.geocode(address)
if result:
    print(f"Valid: {result['address']}")
    print(f"Standardized: {result['components']}")
else:
    print("Address not found")
为坐标添加地址
geo = Geocoder()

locations = [
    (40.7128, -74.0060),
    (34.0522, -118.2437),
    (41.8781, -87.6298)
]

for lat, lon in locations:
    result = geo.reverse(lat, lon)
    print(f"({lat}, {lon}): {result['address']}")

速率限制

Nominatim 要求请求之间间隔 1 秒。批量处理函数会自动处理这一要求。

# Automatic delay in batch operations
results = geo.batch_geocode(addresses, delay=1.0)

# For paid providers, can reduce delay
geo = Geocoder(provider="google", api_key="KEY")
results = geo.batch_geocode(addresses, delay=0.1)

错误处理

result = geo.geocode("Invalid Address XYZ123")
if result is None:
    print("Address not found")
elif result.get('error'):
    print(f"Error: {result['error']}")
else:
    print(f"Found: {result['address']}")

依赖项

  • geopy>=2.4.0
  • pandas>=2.0.0

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