import pandas as pd from geopy.geocoders import Bing, Baidu class Geocoders(object): def __init__(self, addresses: "[str/(latitude, longitude)]", api_key: str, timeout: int=5, api: 'Baidu / Bing'='Baidu'): self.values = dict.fromkeys(addresses, "N/A") self.timeout = timeout...
fromgeopy.geocodersimportNominatimdefget_location_name(latitude,longitude):geolocator=Nominatim(user_agent="myGeocoder")location=geolocator.reverse((latitude,longitude),exactly_one=True)returnlocation.address# 示例经纬度坐标latitude=39.9042longitude=116.4074location_name=get_location_name(latitude,longitude)print...
pypi地址:https://pypi.org/project/haversine/ Calculate the distance (in various units) between two points on Earth using their latitude and longitude. 用经纬度计算地球上两点之间的距离(以不同单位表示),pip install安装即可: Python代码如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importha...
from geopy.distance import great_circle, vincenty # 注意,vincenty 是直线距离,可以直接替换为欧式距离,在 py3.7 中该函数已不可用 def geo_distance(add1: "(latitude, longitude)", add2: "(latitude, longitude)", default=True): """提供球面距离(默认)、经纬度距离""" result = great_circle(add1,...
python # ^ 将所有数据坐标进行转换并保存为 csv 文件 data = latitude_longitude_conversion(data) data.to_csv('china_new.csv', index=False) 由于是单线程,网络速率不是很快,等待时间会长一点,处理完成后是图下结果。读取csvpython # STEP 读取数据集 data = pd.read_csv('./china_new.csv') print(...
简介:Calculate the distance (in various units) between two points on Earth using their latitude and longitude. 一、基本原理 处理地理数据时,经常需要用到两个地理位置间的距离。比如 A 点经纬度(30.553949,114.357399),B点经纬度(129.1344,25.5465),求 AB 两点之间的距离。
latitude = response.location.latitude longitude = response.location.longitude return f"网络地址: {ip}<br>国家: {country}<br>省份: {subdivisions}<br>城市: {city}<br>纬度: {latitude}<br>经度: {longitude}" except Exception as e: return f"Error: {str(e)}" if __name__ == '__main__...
# importing geopy library from geopy.geocoders import Nominatim # calling the Nominatim tool loc = Nominatim(user_agent="Get Prayagraj") # entering the location name getLoc = loc.geocode("Civil Lines Prayagraj") # printing address print(getLoc.address) # printing latitude and longitude print(...
printable Lat=tags["GPS GPSLatitude"].printable[1:-1].replace(" ","").replace("/",",").split(",") Lat=float(Lat[0])+float(Lat[1])/60+float(Lat[2])/float(Lat[3])/3600 if LatRef != "N": Lat=Lat*(-1) #经度 LonRef=tags["GPS GPSLongitudeRef"].printable Lon=tags["...
8. res=requests.get(uri).text 9. temp = json.loads(res) # 将字符串转化为json 10. lat = temp['result']['location']['lat'] 11. lng = temp['result']['location']['lng'] 12. return lng, lat # 经度 longitude,纬度 latitude, ...