需要原料：一张原图

引入需要的模块

import exifread # 引入图片读取模块
import math # 运算模块
import requests # api请求
import json # 处理api返回的json

获取图片元数据
转换高德的坐标轴

img_exif = exifread.process_file(open("你家boss原图.jpg", 'rb')) #读取你的图片
if img_exif:
    latitude_gps = img_exif['GPS GPSLatitude']
    latitude_direction = img_exif['GPS GPSLatitudeRef']
    longitude_gps = img_exif['GPS GPSLongitude']
    longitude_direction = img_exif['GPS GPSLongitudeRef']
    take_time = img_exif['EXIF DateTimeOriginal'] 

# 输出看一看，有没有，没有就完犊子搞不了，好人一生平安
    print(latitude_gps)
    print(latitude_direction)
    print(longitude_gps)
    print(longitude_direction)
    print(take_time)
  #一些必要的参数
x_pi = 3.14159265358979324 * 3000.0 / 180.0
pi = 3.14159265358979  # π
a = 6378245.0  # 长半轴
ee = 0.00669342162296594323  # 地球扁率
def out_of_china(lng, lat):
    if lng < 72.004 or lng > 137.8347 or lat < 0.8293 or lat > 55.8271:
        return 1
    #坐标轴转换
def wgs84togcj02(lng, lat): # WGS84转GCJ02(火星坐标系)
    if out_of_china(lng, lat) == 1:  # 判断是否在国内
        return lng, lat
    dlat = transformLat(lat - 35.0, lng - 105.0 )
    dlng = transformLon(lat - 35.0, lng - 105.0)
    radlat = lat / 180.0 * pi
    magic = math.sin(radlat)
    magic = 1 - ee * magic * magic
    sqrtmagic = math.sqrt(magic)
    dlat = (dlat * 180.0) / ((a * (1 - ee)) / (magic * sqrtmagic) * pi)
    dlng = (dlng * 180.0) / (a / sqrtmagic * math.cos(radlat) * pi)
    mglat = lat + dlat
    mglng = lng + dlng
    return [mglng, mglat]

def format_lati_long_data(data):# 删除左右括号和空格
    data_list_tmp = str(data).replace('[', '').replace(']', '').split(',')
    data_list = [data.strip() for data in data_list_tmp]# 替换秒的值
    data_tmp = data_list[-1].split('/')# 秒的值
    data_sec = int(data_tmp[0]) / int(data_tmp[1]) / 3600# 替换分的值
    data_tmp = data_list[-2]# 分的值
    data_minute = int(data_tmp) / 60# 度的值
    data_degree = int(data_list[0])
    result = "%.6f" % (data_degree + data_minute + data_sec)#保留小数点后六位，高德可识别
    return float(result)

def transformLat(lat,lon):
    ret = -100.0 + 2.0 * lat + 3.0 * lon + 0.2 * lon * lon + 0.1 * lat * lon +0.2 * math.sqrt(abs(lat))
    ret += (20.0 * math.sin(6.0 * lat * math.pi) + 20.0 * math.sin(2.0 * lat * math.pi)) * 2.0 / 3.0
    ret += (20.0 * math.sin(lon * math.pi) + 40.0 * math.sin(lon / 3.0 * math.pi)) * 2.0 / 3.0
    ret += (160.0 * math.sin(lon / 12.0 * math.pi) + 320 * math.sin(lon * math.pi  / 30.0)) * 2.0 / 3.0
    return ret

def transformLon(lat,lon):
    ret = 300.0 + lat + 2.0 * lon + 0.1 * lat * lat + 0.1 * lat * lon + 0.1 * math.sqrt(abs(lat))
    ret += (20.0 * math.sin(6.0 * lat * math.pi) + 20.0 * math.sin(2.0 * lat * math.pi)) * 2.0 / 3.0
    ret += (20.0 * math.sin(lat * math.pi) + 40.0 * math.sin(lat / 3.0 * math.pi)) * 2.0 / 3.0
    ret += (150.0 * math.sin(lat / 12.0 * math.pi) + 300.0 * math.sin(lat / 30.0 * math.pi)) * 2.0 / 3.0
    return ret

转换脚本代码借鉴：宣哥（https://blog.csdn.net/pashine/article/details/81283390）

def get_address(location):
    urls = "https://restapi.amap.com/v3/geocode/regeo?key=你自己的高德KEY="+ str(lon6) + "," +str(lat6) +"&poitype=&radius=1000&extensions=all&batch=false&roadlevel=0"
    resp = requests.get(urls)
    location_data = json.loads(resp.text)
    address = location_data.get('regeocode').get('formatted_address')
    return address

高德api:

图片.png

主程序：

longitude = format_lati_long_data(longitude_gps)
latitude = format_lati_long_data(latitude_gps )
location = wgs84togcj02(longitude, latitude)
print(location)
lon6 = "%.6f" % location[0]#高德保留六位小数位点
lat6 = "%.6f" % location[1]
print(str(lat6))
print(get_address(location))

图片.png

看来boss去打球去了，可她平时不打球啊，新的爱好吧！

图片.png