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爬虫——python——百度地图经纬度查询——经纬度查看地点地名——利用百度API获取地名经纬度——爬取所有的中国地址

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标签:线程   city   image   1.0   取数   event   []   key   列表   

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import requests
address = 40.8587960,86.866991
url = http://api.map.baidu.com/geocoder?output=json&key=f247cdb592eb43ebac6ccd27f796e2d2&location= + str(address)
response = requests.get(url)
answer = response.json()
print(得到反解数据, answer)
使用python爬虫

 

 

 

技术分享图片

 

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 1 import requests
 2 address = 40.8587960,86.866991
 3 url = http://api.map.baidu.com/geocoder?output=json&key=f247cdb592eb43ebac6ccd27f796e2d2&location= + str(address)
 4 response = requests.get(url)
 5 answer = response.json()
 6 print(得到反解数据, answer)
 7 lng = answer[result][location][lng]
 8 lat = answer[result][location][lat]
 9 formatted_address = answer[result][formatted_address]
10 business = answer[result][business]
11 city = answer[result][addressComponent][city]
12 direction = answer[result][addressComponent][city]
13 distance = answer[result][addressComponent][direction]
14 district = answer[result][addressComponent][district]
15 province = answer[result][addressComponent][province]
16 street = answer[result][addressComponent][street]
17 street_number = answer[result][addressComponent][street_number]
18 cityCode = answer[result][cityCode]
19 s = str(lng) + | + str(lat)+ |  + str(formatted_address) + | + str(business) + |+ str(city) + |+ str(direction) + |+ str(distance) + |+ str(district) + |+ str(province) + |+ str(street) + |+ str(street_number) + |+ str(cityCode)
20 print(s)
解析数据

 

 

 

 

 

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 http://api.map.baidu.com/lbsapi/getpoint/index.html

 

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 1 #鸡头1
 2 #129.000000,54.000000 #锚点(鸡头)
 3 #115.000000,54.0000000
 4 #115.000000,42.0000000  #北京
 5 #129.000000,42.000000 #沈阳
 6 #[‘54.0000000‘, ‘42.000000‘, ‘129.000000‘, ‘115.000000‘],#鸡头1
 7 
 8 #鸡头2
 9 #129.000000,42.000000 #沈阳
10 #135.200000,42.000000
11 #129.000000,50.000000
12 #135.200000,50.000000
13    #[‘50.000000‘,‘42.000000‘,‘135.000000‘,‘129.000000‘],#鸡头2
14 #鸡头补充
15 #115.000000,42.0000000  #北京
16 #105.0000000,42.000000  #锚点(银川上面)
17 #105.0000000,45.500000 #乌兰巴托
18 #115.000000,45.500000
19 #[‘45.500000‘, ‘42.000000‘, ‘115.000000‘, ‘105.000000‘],#鸡头补充
20 
21 #鸡屁股上补充
22 #105.0000000,42.000000  #锚点(银川上面)
23 #91.500000,45.500000  #乌鲁木齐
24 #105.0000000,45.500000  #乌兰巴托
25 #91.500000,42.000000 #锚点(鸡屁股)
26 #[‘45.500000‘, ‘42.000000‘, ‘105.0000000‘, ‘91.500000‘],#鸡屁股上补充
27 #鸡屁股上
28 #91.500000,42.000000 #锚点(鸡屁股)
29 #79.800000,42.000000 #啊拉木图
30 #79.800000,49.200000
31 #91.500000,49.200000
32 #[‘49.200000‘, ‘42.000000‘, ‘91.500000‘, ‘79.800000‘],#鸡屁股上
33 #鸡屁股下
34 #79.800000,42.000000 #啊拉木图
35 #79.800000,30.0000000 #巴雷利
36 #73.400000,42.000000
37 #73.400000,30.000000
38 #[‘42.000000‘, ‘30.000000‘, ‘79.800000‘, ‘73.400000‘],#鸡屁股下
39 #鸡下补充
40 #79.800000,30.0000000 #巴雷利
41 #97.300000,30.000000  #拉萨昌都(锚点)
42 #97.300000,26.800000
43 #79.800000,26.800000
44 #[‘42.000000‘, ‘30.000000‘, ‘97.300000‘, ‘79.800000‘],#鸡下补充
45 #鸡下
46 #97.300000,30.000000 #拉萨昌都(锚点)
47 #105.000000,30.000000 #(成都重庆贵阳)
48 #105.000000,21.000000 #河内
49 #97.300000,21.000000 #曼德勒
50 #[‘30.000000‘, ‘21.000000‘, ‘105.000000‘, ‘97.300000‘],#鸡下
51 
52 
53 #鸡胸
54 #105.0000000,42.000000  #锚点(银川上面)
55 #105.0000000,21.000000 #河内
56 #129.000000,42.000000 #沈阳
57 #129.000000,21.000000 #台北(海)
58 #[‘42.000000‘, ‘21.000000‘, ‘129.000000‘, ‘105.000000‘],#鸡胸
59 
60 #鸡身
61 #105.000000,42.000000  #锚点(银川上面)
62 #79.800000,42.000000  #啊拉木图
63 #79.800000,30.000000 #巴雷利
64 #105.000000,30.000000  #(成都重庆贵阳)
65 #[‘42.000000‘, ‘30.000000‘, ‘105.000000‘, ‘79.800000‘],#鸡身
66 #鸡脚 (南海)
67 #105.000000,21.000000 #河内
68 #129.000000,21.000000 #台北(海)
69 #105.0000000,3.000000 #新加坡
70 #129.000000,3.000000 #海(苏拉威西海)
71 #[‘21.000000‘, ‘3.000000‘, ‘129.000000‘, ‘105.000000‘],
经纬度分析

 

 

 

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 1 import requests
 2 from decimal import Decimal
 3 def obtain(address):
 4     url = http://api.map.baidu.com/geocoder?output=json&key=f247cdb592eb43ebac6ccd27f796e2d2&location= + str(address)
 5     response = requests.get(url)
 6     answer = response.json()
 7     print(得到反解数据, answer)
 8     lng = answer[result][location][lng]
 9     lat = answer[result][location][lat]
10     formatted_address = answer[result][formatted_address]
11     business = answer[result][business]
12     city = answer[result][addressComponent][city]
13     direction = answer[result][addressComponent][city]
14     distance = answer[result][addressComponent][direction]
15     district = answer[result][addressComponent][district]
16     province = answer[result][addressComponent][province]
17     street = answer[result][addressComponent][street]
18     street_number = answer[result][addressComponent][street_number]
19     cityCode = answer[result][cityCode]
20     s = str(%6f % lng) + | + str(%6f % lat) + | + str(formatted_address) + | + str(business) + | + str(
21         city) + | + str(direction) + | + str(distance) + | + str(district) + | + str(province) + | + str(
22         street) + | + str(street_number) + | + str(cityCode)
23     print(s)
24 
25 def longitude(slon,precision,elon,slat):
26     while slon >= elon:
27         address = %s,%s % (slon,slat)  # 请求用的,经度,纬度,
28         obtain(address)#传入经度,纬度,获取地址地名
29         slon -= precision
30 
31 #[‘42.000000‘, ‘30.000000‘, ‘105.000000‘, ‘79.800000‘],  # 鸡身
32 slon = Decimal(42.000000)#经度longitude开始
33 elon = Decimal(30.000000)#经度结束
34 slat=Decimal(105.000000)# 纬度latitude开始
35 elat=Decimal(79.800000)#纬度结束
36 precision = Decimal(5.0001000)#精度 0.0001000==1000米
37 while slat>=elat:
38     slat -= precision
39     longitude(slon,precision,elon,slat)
根据精度获取多个地名

 

 

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 1 import requests
 2 from decimal import Decimal
 3 def obtain(address):
 4     url = http://api.map.baidu.com/geocoder?output=json&key=f247cdb592eb43ebac6ccd27f796e2d2&location= + str(address)
 5     response = requests.get(url)
 6     answer = response.json()
 7     print(得到反解数据, answer)
 8     lng = answer[result][location][lng]
 9     lat = answer[result][location][lat]
10     formatted_address = answer[result][formatted_address]
11     business = answer[result][business]
12     city = answer[result][addressComponent][city]
13     direction = answer[result][addressComponent][city]
14     distance = answer[result][addressComponent][direction]
15     district = answer[result][addressComponent][district]
16     province = answer[result][addressComponent][province]
17     street = answer[result][addressComponent][street]
18     street_number = answer[result][addressComponent][street_number]
19     cityCode = answer[result][cityCode]
20     s = str(%6f % lng) + | + str(%6f % lat) + | + str(formatted_address) + | + str(business) + | + str(
21         city) + | + str(direction) + | + str(distance) + | + str(district) + | + str(province) + | + str(
22         street) + | + str(street_number) + | + str(cityCode)
23     print(s)
24 
25 def longitude(slon,precision,elon,slat):
26     while slon >= elon:
27         address = %s,%s % (slon,slat)  # 请求用的,经度,纬度,
28         obtain(address)#传入经度,纬度,获取地址地名
29         slon -= precision
30 
31 LogLatList=[
32     [42.000000, 30.000000, 105.000000, 79.800000],  # 鸡身
33     [42.000000, 21.000000, 129.000000, 105.000000],  # 鸡胸
34     [50.000000, 42.000000, 135.000000,129.000000],  #鸡头2
35     [54.000000, 42.000000, 129.000000, 115.000000],  #鸡头1
36     [45.500000, 42.000000, 115.000000, 105.000000],  #鸡头补充
37     [49.200000, 42.000000, 91.500000, 79.800000],  # 鸡屁股上
38     [42.000000, 30.000000, 79.800000, 73.400000],  # 鸡屁股下
39     [45.500000, 42.000000, 105.000000, 91.500000],  #鸡屁股上补充
40     [30.000000, 21.000000, 105.000000, 97.300000],  # 鸡下
41     [42.000000, 30.000000, 97.300000, 79.800000],  #鸡下补充
42     [21.000000, 3.000000, 129.000000, 105.000000],  # 鸡脚 (南海)
43    ]
44 precision = Decimal(10.0001000)  # 精度 0.0001000==1000米
45 for single_list in LogLatList:
46     slons,elons,slats,elats=single_list
47     #[‘42.000000‘, ‘30.000000‘, ‘105.000000‘, ‘79.800000‘],  # 鸡身
48     slon = Decimal(slons)#经度longitude开始
49     elon = Decimal(elons)#经度结束
50     slat=Decimal(slats)# 纬度latitude开始
51     elat=Decimal(elats)#纬度结束
52 
53     while slat>=elat:
54         slat -= precision
55         longitude(slon,precision,elon,slat)
批量获取数据

 

技术分享图片

 

 

技术分享图片
 1 import requests
 2 from decimal import Decimal
 3 import threading , time
 4 def obtain(address):
 5     url = http://api.map.baidu.com/geocoder?output=json&key=f247cdb592eb43ebac6ccd27f796e2d2&location= + str(address)
 6     response = requests.get(url)
 7     answer = response.json()
 8     print(得到反解数据, answer)
 9     lng = answer[result][location][lng]
10     lat = answer[result][location][lat]
11     formatted_address = answer[result][formatted_address]
12     business = answer[result][business]
13     city = answer[result][addressComponent][city]
14     direction = answer[result][addressComponent][city]
15     distance = answer[result][addressComponent][direction]
16     district = answer[result][addressComponent][district]
17     province = answer[result][addressComponent][province]
18     street = answer[result][addressComponent][street]
19     street_number = answer[result][addressComponent][street_number]
20     cityCode = answer[result][cityCode]
21     s = str(%6f % lng) + | + str(%6f % lat) + | + str(formatted_address) + | + str(business) + | + str(
22         city) + | + str(direction) + | + str(distance) + | + str(district) + | + str(province) + | + str(
23         street) + | + str(street_number) + | + str(cityCode)
24     print(s)
25 
26 def longitude(slon,precision,elon,slat):
27     while slon >= elon:
28         address = %s,%s % (slon,slat)  # 请求用的,经度,纬度,
29         obtain(address)#传入经度,纬度,获取地址地名
30         slon -= precision
31 
32 
33 class Thre(threading.Thread):#继承线程中的类
34     #Thre(single_list,precision,ctime)
35     def __init__(self,single_list,precision,ctime):
36         super(Thre,self).__init__()#重新写父类,解决多继承问题
37         self.precision=precision#精度
38         self.single_list=single_list#单列表
39         self.ctime=ctime#当前时间
40     def run(self):
41         print(执行线程开始时间:, self.ctime, 执行的列表:,self.single_list)
42         slons, elons, slats, elats = self.single_list
43         # [‘42.000000‘, ‘30.000000‘, ‘105.000000‘, ‘79.800000‘],  # 鸡身
44         slon = Decimal(slons)  # 经度longitude开始
45         elon = Decimal(elons)  # 经度结束
46         slat = Decimal(slats)  # 纬度latitude开始
47         elat = Decimal(elats)  # 纬度结束
48         while slat >= elat:
49             slat -= self.precision
50             longitude(slon,self.precision, elon, slat)
51         else:
52             end_time=time.time()-self.ctime
53             print(执行线程所用时间:,end_time, 执行的列表:,self.single_list)
54 
55 def main():
56     LogLatList=[
57         [42.000000, 30.000000, 105.000000, 79.800000],  # 鸡身
58         [42.000000, 21.000000, 129.000000, 105.000000],  # 鸡胸
59         [50.000000, 42.000000, 135.000000,129.000000],  #鸡头2
60         [54.000000, 42.000000, 129.000000, 115.000000],  #鸡头1
61         [45.500000, 42.000000, 115.000000, 105.000000],  #鸡头补充
62         [49.200000, 42.000000, 91.500000, 79.800000],  # 鸡屁股上
63         [42.000000, 30.000000, 79.800000, 73.400000],  # 鸡屁股下
64         [45.500000, 42.000000, 105.000000, 91.500000],  #鸡屁股上补充
65         [30.000000, 21.000000, 105.000000, 97.300000],  # 鸡下
66         [42.000000, 30.000000, 97.300000, 79.800000],  #鸡下补充
67         [21.000000, 3.000000, 129.000000, 105.000000],  # 鸡脚 (南海)
68        ]
69     precision = Decimal(20.0001000)  # 精度 0.0001000==1000米
70 
71     thre_list=[] #线程列表
72     for single_list in LogLatList:
73         ctime=time.time()#当前时间
74         temp=Thre(single_list,precision,ctime)#实例化类
75         thre_list.append(temp)#线程列表
76     for thre in thre_list:#线程列表
77         thre.start()#执行单个线程
78         
79 if __name__ == __main__:
80     main()
多线程获取数据

 

 

技术分享图片

 

技术分享图片
 1 import requests
 2 from decimal import Decimal
 3 import threading , time
 4 def obtain(address,file_name):
 5     url = http://api.map.baidu.com/geocoder?output=json&key=f247cdb592eb43ebac6ccd27f796e2d2&location= + str(address)
 6     response = requests.get(url)
 7     answer = response.json()
 8     print(得到反解数据, answer)
 9     lng = answer[result][location][lng]
10     lat = answer[result][location][lat]
11     formatted_address = answer[result][formatted_address]
12     business = answer[result][business]
13     city = answer[result][addressComponent][city]
14     direction = answer[result][addressComponent][city]
15     distance = answer[result][addressComponent][direction]
16     district = answer[result][addressComponent][district]
17     province = answer[result][addressComponent][province]
18     street = answer[result][addressComponent][street]
19     street_number = answer[result][addressComponent][street_number]
20     cityCode = answer[result][cityCode]
21     s = str(%6f % lng) + | + str(%6f % lat) + | + str(formatted_address) + | + str(business) + | + str(
22         city) + | + str(direction) + | + str(distance) + | + str(district) + | + str(province) + | + str(
23         street) + | + str(street_number) + | + str(cityCode)
24     print(s)
25     if cityCode==0:
26         #print(‘外国‘)
27         pass
28     else:
29         #print(s)
30         fname=str(file_name)+list
31         with open(fname, a+, encoding=(utf-8)) as f:
32             f.write(s+\n)
33 
34 def longitude(slon,precision,elon,slat,file_name):
35     while slon >= elon:
36         address = %s,%s % (slon,slat)  # 请求用的,经度,纬度,
37         obtain(address,file_name)#传入经度,纬度,获取地址地名
38         slon -= precision
39 
40 
41 class Thre(threading.Thread):#继承线程中的类
42     #Thre(single_list,precision,ctime)
43     #temp = Thre(single_list, precision, ctime, file_name)  # 实例化类
44     def __init__(self,single_list,precision,ctime,file_name):
45         super(Thre,self).__init__()#重新写父类,解决多继承问题
46         self.precision=precision#精度
47         self.single_list=single_list#单列表
48         self.ctime=ctime#当前时间
49         self.file_name=file_name#文件名
50     def run(self):
51         print(执行线程开始时间:, self.ctime, 执行的列表:,self.single_list)
52         slons, elons, slats, elats = self.single_list
53         # [‘42.000000‘, ‘30.000000‘, ‘105.000000‘, ‘79.800000‘],  # 鸡身
54         slon = Decimal(slons)  # 经度longitude开始
55         elon = Decimal(elons)  # 经度结束
56         slat = Decimal(slats)  # 纬度latitude开始
57         elat = Decimal(elats)  # 纬度结束
58         while slat >= elat:
59             slat -= self.precision
60             longitude(slon,self.precision, elon, slat,self.file_name)
61         else:
62             end_time=time.time()-self.ctime
63             print(执行线程所用时间:,end_time, 执行的列表:,self.single_list)
64 
65 def main():
66     LogLatList=[
67         [42.000000, 30.000000, 105.000000, 79.800000],  # 鸡身
68         [42.000000, 21.000000, 129.000000, 105.000000],  # 鸡胸
69         [50.000000, 42.000000, 135.000000,129.000000],  #鸡头2
70         [54.000000, 42.000000, 129.000000, 115.000000],  #鸡头1
71         [45.500000, 42.000000, 115.000000, 105.000000],  #鸡头补充
72         [49.200000, 42.000000, 91.500000, 79.800000],  # 鸡屁股上
73         [42.000000, 30.000000, 79.800000, 73.400000],  # 鸡屁股下
74         [45.500000, 42.000000, 105.000000, 91.500000],  #鸡屁股上补充
75         [30.000000, 21.000000, 105.000000, 97.300000],  # 鸡下
76         [42.000000, 30.000000, 97.300000, 79.800000],  #鸡下补充
77         [21.000000, 3.000000, 129.000000, 105.000000],  # 鸡脚 (南海)
78        ]
79     # ——测试使用——开始————
80     precision = Decimal(1.0001000)  # 精度 0.0001000==1000米
81     # ——测试使用——结束————
82 
83     #——实际获取时替换——精度自己控制————建议是 0.0001000 ————开始————
84     #precision = Decimal(‘0.0001000‘)  # 精度 0.0001000==1000米
85     # ——实际获取时替换——精度自己控制————建议是 0.0001000 ————结束————
86 
87     file_name=0
88 
89     thre_list=[] #线程列表
90     for single_list in LogLatList:
91         ctime=time.time()#当前时间
92         temp=Thre(single_list,precision,ctime,file_name)#实例化类
93         file_name+=1
94         thre_list.append(temp)#线程列表
95     for thre in thre_list:#线程列表
96         thre.start()#执行单个线程
97 
98 if __name__ == __main__:
99     main()
写入到文件

 

技术分享图片

爬虫——python——百度地图经纬度查询——经纬度查看地点地名——利用百度API获取地名经纬度——爬取所有的中国地址

标签:线程   city   image   1.0   取数   event   []   key   列表   

原文地址:https://www.cnblogs.com/ujq3/p/9775376.html

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