0

我已经使用以下代码以字典格式下载了一些 GTFS-RT 旅行更新数据：

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)

输出字典是一个包含许多嵌套字典的字典。一辆巴士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
}

您对如何将这些数据转换为更有用的格式有任何想法吗？比方说熊猫数据框。

先感谢您！

4

1 回答 1

1

我用这个网址进行测试：

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

您需要做的就是将此行添加到熊猫数据框的脚本末尾

pd.json_normalize(buses_dict['entity'])

它会将这本字典分成这些列

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')
于 2021-01-21T03:31:26.147 回答