python提取照片坐标信息的代码如下所示：

from PIL import Imagefrom PIL.ExifTags import TAGSimport osoutput="Z://result.csv"out=open(output,'a')out.write('lat,lon\n')fpath="Z://iphonephoto"for item in os.walk(fpath): ob=item[2] for i in ob: name=fpath+'/'+str(i) ret={} try: img=Image.open(name) if hasattr(img,'_getexif'): exifinfo=img._getexif() if exifinfo !=None: for tag,value in exifinfo.items(): decoded=TAGS.get(tag,tag) ret[decoded]=value N1 = ret['GPSInfo'][2][0][0] N2 = ret['GPSInfo'][2][1][0] N3 = ret['GPSInfo'][2][2][0] N=int(N1)+int(N2)*(1.0/60)+int(N3)*(1.0/360000) E1 = ret['GPSInfo'][4][0][0] E2 = ret['GPSInfo'][4][1][0] E3 = ret['GPSInfo'][4][2][0] E=int(E1)+int(E2)*(1.0/60)+int(E3)*(1.0/360000) out.write(str(N)+','+str(E)+'\n') except: passout.close()

PS：Python小列子-读取照片位置

Python exifread

Python利用exifread库来解析照片的经纬度，对接百度地图API显示拍摄地点。

import exifreadimport reimport jsonimport requestsdef latitude_and_longitude_convert_to_decimal_system(*arg): """ 经纬度转为小数, 作者尝试适用于iphone6、ipad2以上的拍照的照片， :param arg: :return: 十进制小数 """ return float(arg[0]) + ((float(arg[1]) + (float(arg[2].split('/')[0]) / float(arg[2].split('/')[-1]) / 60)) / 60)def find_GPS_image(pic_path): GPS = {} date = '' with open(pic_path, 'rb') as f: tags = exifread.process_file(f) for tag, value in tags.items(): if re.match('GPS GPSLatitudeRef', tag): GPS['GPSLatitudeRef'] = str(value) elif re.match('GPS GPSLongitudeRef', tag): GPS['GPSLongitudeRef'] = str(value) elif re.match('GPS GPSAltitudeRef', tag): GPS['GPSAltitudeRef'] = str(value) elif re.match('GPS GPSLatitude', tag): try: match_result = re.match('\[(\w*),(\w*),(\w.*)/(\w.*)\]', str(value)).groups() GPS['GPSLatitude'] = int(match_result[0]), int(match_result[1]), int(match_result[2]) except: deg, min, sec = [x.replace(' ', '') for x in str(value)[1:-1].split(',')] GPS['GPSLatitude'] = latitude_and_longitude_convert_to_decimal_system(deg, min, sec) elif re.match('GPS GPSLongitude', tag): try: match_result = re.match('\[(\w*),(\w*),(\w.*)/(\w.*)\]', str(value)).groups() GPS['GPSLongitude'] = int(match_result[0]), int(match_result[1]), int(match_result[2]) except: deg, min, sec = [x.replace(' ', '') for x in str(value)[1:-1].split(',')] GPS['GPSLongitude'] = latitude_and_longitude_convert_to_decimal_system(deg, min, sec) elif re.match('GPS GPSAltitude', tag): GPS['GPSAltitude'] = str(value) elif re.match('.*Date.*', tag): date = str(value) return {'GPS_information': GPS, 'date_information': date}def find_address_from_GPS(GPS): print(GPS) """ 使用Geocoding API把经纬度坐标转换为结构化地址。 :param GPS: :return: """ secret_key = 'xxxxxxxxxxxxxxxxxxxx' # 百度地图创应用的秘钥 if not GPS['GPS_information']: return '该照片无GPS信息' lat, lng = GPS['GPS_information']['GPSLatitude'], GPS['GPS_information']['GPSLongitude'] baidu_map_api = "http://api.map.baidu.com/geocoder/v2/?ak={0}&callback=renderReverse&location={1},{2}s&output=json&pois=0".format( secret_key, lat, lng) response = requests.get(baidu_map_api) content = response.text.replace("renderReverse&&renderReverse(", "")[:-1] baidu_map_address = json.loads(content) formatted_address = baidu_map_address["result"]["formatted_address"] # province = baidu_map_address["result"]["addressComponent"]["province"] # city = baidu_map_address["result"]["addressComponent"]["city"] # district = baidu_map_address["result"]["addressComponent"]["district"] return formatted_addressGPS_info = find_GPS_image(pic_path='lllll.jpg') # 照片address = find_address_from_GPS(GPS=GPS_info)print(address)

总结

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