如何解决google maps API结果的错误：“值的长度与索引的长度不匹配”

Question

我正在使用Google Maps API收集距离数据，很可能不是所有位置都可以检索距离信息，因此我得到一个错误“ValueError:值的长度与索引的长度不匹配”。 有没有关于如何更新代码来修复它的提示

lat_origin = df["lat1"].tolist()
long_origin = df["lon1"].tolist()
lat_destination = df["lat2"].tolist()
long_destination = df["lon2"].tolist()
distance = []
for i in range(len(long_destination)):
    url = f"https://maps.googleapis.com/maps/api/distancematrix/json?units=metric&origins={lat_origin[i]},{long_origin[i]}&destinations={lat_destination[i]}%2C{long_destination[i]}&key={google_key}&channel={channel_id}"
    r=requests.get(url)
    data = r.json()
    try:
        distance.append(data['rows'][0]['elements'][0]['distance']['value'])
    except:
        pass
distance

distance2 = []
for i in range(len(distance)):
    distance2.append(distance[i])
df["Distance_in_Meters"] = distance2

Answer 1

您可以这样做将NA值附加到列表中

import numpy as np
import pandas as pd

l = [1,2,3]
# Need to convert all the elements in list to float as NAN does not have 
# equivalent Int value in Pandas. 
l = list(map(lambda x: float(x), l))
right_padding = len(df) - len(l)
left_padding = 0
arr = np.pad(l, pad_width=(left_padding, right_padding), mode='constant', 
constant_values=(np.nan,))
print(arr)
df['B'] = arr