基于Python3.6 +高德地图API的EXCEL文档中经纬度 逆地理编码的批量实现

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实现目的：

1. 为了方便工作中excel 数据的操作，大幅度提高工作效率，想到了用Python3 实现excel数据的批量读取与写入

2. 工作中经常用到经纬度转换成具体的地址，手动在网站上查找并写入excel中需要消耗大量的时间

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   涉及知识点：

3. Python3 的Excel 数据读、写、追加，包括了xlrd, xlwt, openpyxl这三个库的操作，特别是openpyxl这个库的使用

4. 地图API调用

5. requests 库的使用

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   实现代码及注释如下所示：

   所用到的key，均来自于高德地图开发平台的应用申请

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   # coding=utf8
   import requests
   import openpyxl
   
   result = []
   book = openpyxl.load_workbook("XXXXXXXX(某Excel).xlsx")
   mysheet = book['18年1期']
   dat = []
   data1 = []
   data2 = []
   for col in list(mysheet.columns)[6:7]:
       for row in col:
           data1.append(row.value)
   for col in list(mysheet.columns)[7:8]:
       for row in col:
           data2.append(row.value)
   for k in range(len(data1)):
       Location = str(data1[k])+','+str(data2[k])
       dat.append(Location)
   dat.pop(0)
   ''' 使用xlrd 读取的方式
   Locations1 = list(mysheet.get_rows())
   dat=[]
   result = []
   C = range(mysheet.nrows)
   print(C)
   for k in range(mysheet.nrows):
       cells = mysheet.row_values(k)
       data1 = cells[6]
       data2 = cells[7]
       Location = str(data1)+','+str(data2)
       dat.append(Location)
   print(dat)
   dat.pop(0)
   print(dat[0])
   print(type(dat[0]))
   print(len(dat))
   '''
   #for i in range(len(dat)):
       #print(dat[i])
   #Locations2 = list(mysheet.get_rows('纬度'))
   #print(type(Locations1))
   #print(Locations1)
   
   for i in range(len(dat)):
       #P = {'location': dat[0],'key': '我在高德申请的key'}
       if dat[i]!= 'None,None':
           P = {'coordsys':'gps','locations': dat[i] ,'key': '我在高德申请的key'}
           url='https://restapi.amap.com/v3/assistant/coordinate/convert?'#经纬度转换成高德地图的经纬度格式
           #url = 'http://restapi.amap.com/v3/geocode/regeo'
           response1 = requests.get(url,P)
           answer1 = response1.json()
           #print(answer1)
           a = answer1.get('locations')
            # print(a)
           parameters = {'location': a, 'key': '我在高德申请的key'}
           #parameters_1 = {'city':110101,'key': '我在高德申请的key'}//天气查询
           base1 = 'http://restapi.amap.com/v3/geocode/regeo'
           #base2 = 'https://restapi.amap.com/v3/weather/weatherInfo?'
           response2 = requests.get(base1, parameters)#根据经纬度查询地址
           #response3 = requests.get(base2, parameters_1)
           answer2 = response2.json()
           #answer3 = response3.json()
          # print(answer2)
           #print(answer3)
           b=answer2.get('regeocode')
           #print(b)
           c=b.get('formatted_address')#提取该地点的地址
          # print(c)
       else:
           c = '未知'
       result.append(c)
       print(i)
   for i in range(len(result)):
       mysheet.cell(row=(i+2),column=42).value=str(result[i])
   book.save('2018年新建工程台账.xlsx')

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   ZW地址列为查询结果