python提取照片坐标信息的代码如下所示：

from PIL import Image

from PIL.ExifTags import TAGS

import os

output="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:

pass

out.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 exifread

import re

import json

import requests

def 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_address

GPS_info = find_GPS_image(pic_path='lllll.jpg') # 照片

address = find_address_from_GPS(GPS=GPS_info)

print(address)

总结

以上所述是小编给大家介绍的python提取照片坐标信息的实例代码 ,希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对脚本之家网站的支持！

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