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
- 01地址与坐标相互转换
- 02CSV 批处理
- 03支持 Nominatim、Google 和 Bing
- 04解析结构化地址组件
- 05缓存查询结果
适用场景
- 01将客户地址转换为坐标
- 02为地点坐标补充地址
- 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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