使用geopy从pandas数据帧中的坐标查找国家名称

Question

我试图使用geopy确定pandas数据帧中每一行的国家名称。我所拥有的是：

import pandas as pd
from geopy.geocoders import GoogleV3

df = pd.DataFrame({'ser_no': [1, 1, 1, 2, 2, 2],
                'lat': [53.57, 35.52, 35.53, 54.66, 54.67, 55.8],
                'lon': [-117.20, -98.29, -98.32, -119.48, -119.47, -119.46]})

def get_country(locations):
    locations = geolocator.reverse(row['lat'], row['lon'], timeout = 10)
    for location in locations:
        for component in location.raw['address_components']:
            if 'country' in component['types']:
                return component['long_name']

my_key = my_api_key                   
geolocator = GoogleV3(my_key, proxies ={"http": 'my proxy',
                                        "https": 'my proxy'})

df['country'] = df.apply(lambda row: get_country(row), axis = 1)

这就回来了

^{pr2}$

没有发生错误，但是我的输出没有用。我不确定它是返回错误还是我的apply中有错误。在

Answer 1

^{}接受字符串，因此需要将函数更改为：

def get_country(row):
    pos = str(row['lat']) + ', ' + str(row['lon'])
    locations = geolocator.reverse(pos, timeout = 10)
    #... rest of func the same