Python 如何使用谷歌&x27;s地理编码API,包含成批地址

Python 如何使用谷歌&x27;s地理编码API,包含成批地址,python,pandas,google-maps,apply,google-geocoder,Python,Pandas,Google Maps,Apply,Google Geocoder,我试图从地址列表开始,调用Google的GeocodeAPI,并返回每个地址对应的经度和纬度。到目前为止,这就是我所拥有的: import requests import pandas as pd` #List of addresses and make dataframe address1=['100 20th St. Seattle WA','300 Main St. Washington DC','100 Main St Richmond VA 23220']` address1=pd

我试图从地址列表开始,调用Google的GeocodeAPI,并返回每个地址对应的经度和纬度。到目前为止,这就是我所拥有的:

import requests
import pandas as pd`
#List of addresses and make dataframe
address1=['100 20th St. Seattle WA','300 Main St. Washington DC','100 Main 
St Richmond VA 23220']`

address1=pd.DataFrame(address1,columns=['Address'])`
#Set up API key
api_key = "XXXXXXXXXXXXXXXXXXXXXXXXXX"
api_response = 
requests.get('https://maps.googleapis.com/maps/api/geocode/json?address= 
{0}&key={1}'.format(address1, api_key))
api_response_dict = api_response.json()`

#create function for calling API
def get_long_lat(address):
  if api_response_dict['status'] == 'OK':
   latitude = api_response_dict['results'][0]['geometry']['location']['lat']
   longitude = api_response_dict['results'][0]['geometry']['location'] 
   ['lng']
   return latitude, longitude `

#attempts a passing the dataframe through the function 

address1['attempt1']=address1.apply(get_long_lat,axis=1)
address1['attempt2'] = address1.apply(lambda x: get_long_lat(x),axis=1)
address1['attempt3']= address1.groupby('Address').apply(get_long_lat)
address1['attempt4']=address1['Address'].apply(get_long_lat)`


我试图逐行调用函数,但问题是它返回第一个地址的long和lat,并复制其他地址的long和lat。这是使用pandas dataframe或
.apply
函数或API的问题吗?

我认为代码块中的反勾号是无意的?是的,对不起,我的格式太糟糕了。另外,一些代码行不应该被分成两行