Python 如何将GTFS-RT行程更新数据转换为数据帧？

我使用以下代码下载了一些字典格式的GTFS-RT行程更新数据：

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)

输出字典是包含许多嵌套字典的字典。一辆公交车的行程更新具有以下格式：

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
}

你知道如何将这些数据转换成更有用的格式吗？比如说熊猫数据帧

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提前谢谢你

我使用此url进行测试：

url = 'https://cdn.mbta.com/realtime/VehiclePositions.pb'

您所需要做的就是将这一行添加到数据帧脚本的末尾

pd.json_normalize(buses_dict['entity'])

它会把这本词典分成以下几列

Index(['id', 'vehicle.trip.trip_id', 'vehicle.trip.start_time',
       'vehicle.trip.start_date', 'vehicle.trip.schedule_relationship',
       'vehicle.trip.route_id', 'vehicle.trip.direction_id',
       'vehicle.position.latitude', 'vehicle.position.longitude',
       'vehicle.position.bearing', 'vehicle.current_stop_sequence',
       'vehicle.current_status', 'vehicle.timestamp', 'vehicle.stop_id',
       'vehicle.vehicle.id', 'vehicle.vehicle.label',
       'vehicle.occupancy_status', 'vehicle.position.speed'],
      dtype='object') 

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非常感谢您的投入！