问题描述
我已经使用以下代码以字典格式下载了一些 GTFS-RT Trip Updates 数据:
from google.transit import gtfs_realtime_pb2
import requests
import pandas as pd
Feed = gtfs_realtime_pb2.FeedMessage()
# requests will fetch the results from a url,in this case,the positions of all buses
response = requests.get('link')
Feed.ParseFromString(response.content)
# Use the data as a dict
from protobuf_to_dict import protobuf_to_dict
# convert to dict from our original protobuf Feed
buses_dict = protobuf_to_dict(Feed)
输出字典是一个有很多嵌套字典的字典。一辆公交车的行程更新格式如下:
id: "14010512942203036"
trip_update {
trip {
trip_id: "14010000550082549"
start_date: "20210120"
schedule_relationship: SCHEDULED
}
stop_time_update {
stop_sequence: 24
arrival {
delay: -20
time: 1611145420
uncertainty: 0
}
departure {
delay: 52
time: 1611145492
uncertainty: 0
}
stop_id: "9022001005006001"
}
stop_time_update {
stop_sequence: 25
arrival {
delay: 52
time: 1611146092
}
departure {
delay: 52
time: 1611146092
}
stop_id: "9022001005007002"
}
vehicle {
id: "9031001004002234"
}
timestamp: 1611145514
}
您知道如何以更有用的格式转换这些数据吗?假设熊猫数据框。
先谢谢你!
解决方法
我使用这个网址进行测试:
Drexel_2021_Lecture_1.Rmd
您需要做的就是将此行添加到熊猫数据框脚本的末尾
Drexel_2021_Lecture_2.Rmd
它将把这本字典分成这些列
Drexel_2021_Lecture_3.Rmd