import csv
from geopy.geocoders import Nominatim

#if your sites are located in France only you can use the country_bias parameters to restrict search
geolocator = Nominatim(country_bias="France")

with open('c:/temp/input.csv', 'rb') as csvinput:
    with open('c:/temp/output.csv', 'wb') as csvoutput:
       output_fieldnames = ['Site', 'Address_found', 'Latitude', 'Longitude']
       writer = csv.DictWriter(csvoutput, delimiter=';', fieldnames=output_fieldnames)
       writer.writeheader()
       reader = csv.DictReader(csvinput)
       for row in reader:
            site = row['site']
            if site != "NULL":
                try:
                    location = geolocator.geocode(site)
                    address = location.address
                    latitude = location.latitude
                    longitude = location.longitude
                except:
                    address = 'Not found'
                    latitude = 'N/A'
                    longitude = 'N/A'
            else:
                address = 'N/A'
                latitude = 'N/A'
                longitude = 'N/A'

            #here is the writing section
            output_row = {}
            output_row['Site'] = row['site']
            output_row['Address_found'] = address.encode("utf-8")
            output_row['Latitude'] = latitude
            output_row['Longitude'] = longitude
            writer.writerow(output_row)

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现在直接烘焙到Geopandas中：https://geopandas.org/en/stable/docs/user_guide/geocoding.html
直接从他们的文档中摘录：

import geodatasets

boros = geopandas.read_file(geodatasets.get_path("nybb"))

boros.BoroName
Out[3]: 
0    Staten Island
1           Queens
2         Brooklyn
3        Manhattan
4            Bronx
Name: BoroName, dtype: object

boro_locations = geopandas.tools.geocode(boros.BoroName)

boro_locations
Out[5]: 
                     geometry                                           address
0  POINT (-74.14960 40.58346)  Staten Island, New York, New York, United States
1  POINT (-73.82831 40.71351)         Queens, New York, New York, United States
2  POINT (-73.94972 40.65260)       Brooklyn, New York, New York, United States
3  POINT (-73.95989 40.78962)      Manhattan, New York, New York, United States
4  POINT (-73.87859 40.84665)      The Bronx, New York, New York, United States

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