我有一个带有位置列的数据框，其中包含lat，long位置，如下所示

 deviceid                             location        
1102ADb75        [12.9404578177, 77.5548244743]

如何使用geopy的vicenty函数获取连续行之间的距离？我尝试了以下代码

from geopy.distance import vincenty 
vincenty(df['location'].shift(-1), df['location']).miles

它返回以下错误 -TypeError：__new __（）最多接受4个参数（给定5个）

编辑-df是包含deviceId和Location列的Pandas数据框，也如上所示

print type(df)
class 'pandas.core.frame.DataFrame'

解决方案

基于geopy的github，您应该将两个元组传递给该vincenty函数：

    >>> from geopy.distance import vincenty
    >>> point_a = (41.49008, -71.312796)
    >>> point_b = (41.499498, -81.695391)
    >>> print(vincenty(point_a, point_b).miles)
    538.3904451566326

编辑：

import pandas as pd
from geopy.distance import vincenty

data = [[101, [41.49008, -71.312796]],
        [202, [41.499498, -81.695391]]]
df = pd.DataFrame(data=data, columns=['deviceid', 'location'])

print df
>>>    deviceid                 location
>>> 0       101   [41.49008, -71.312796]
>>> 1       202  [41.499498, -81.695391]

print vincenty(df['location'][0], df['location'][1]).miles
>>> 538.390445157