en/latest/Func%26API/GpsPreProcess/

[giscus[bot]]

en/latest/Func%26API/GpsPreProcess/

在python中轻松进行路径匹配

https://gotrackit.readthedocs.io/en/latest/Func%26API/GpsPreProcess/

[Clancy6666]

为什么我用gpspreprocess切分的数据不对，加上子行程切分，数据从4万条变成了5000条，不加上子行程切分，超过20分钟的时间间隔也没有切分主行程

[zdsjjtTLG]

1.数据量减少：应该是删除了很多静止点；
2.没有划分主行程的：你能把代码和数据发过来看看嘛？仅靠你的描述，我无法给出有效的建议。

[Clancy6666]

import pandas as pd
from gotrackit.gps.GpsTrip import GpsPreProcess

if name == 'main':
# 读取GPS数据
gps_gdf = pd.read_json(r"E:\hougsh\上海交通流项目\三期数据\原始数据\百度api数据-0410\百度api数据-车辆信息-0410\2024-04-10_19000190005_车辆信息.json")
gps_gdf = gps_gdf.rename(columns={'timestamp': 'time', 'pos_wgs84_x': 'lng', 'pos_wgs84_y': 'lat'})
gps_gdf['agent_id'] = 0

gps_gdf['time'] = pd.to_datetime(gps_gdf['time'], unit='ms').dt.tz_localize('UTC').dt.tz_convert('Asia/Shanghai')
# 格式化时间

# 按照时间戳数据排列数据
gps_gdf = gps_gdf.sort_values(by='time').reset_index(drop=True)



gps_gdf['time'] = gps_gdf['time'].dt.strftime("%Y-%m-%d %H:%M:%S")    # 新建一个GpsPreProcess示例
# print(gps_gdf['time'])

grp = GpsPreProcess(gps_df=gps_gdf, use_multi_core=False)

# 调用trip_segmentations方法进行行程切分
# 切分后的数据会更新agent_id字段用以区分不同的出行旅程，原GPS表的agent_id会存储在origin_agent_id字段中
gps_trip = grp.trip_segmentations(group_gap_threshold=1800, plain_crs='EPSG:32651', min_distance_threshold=-1,dwell_accu_time=60,n=5)


gps_gdf.to_csv(r'D:\python_object\gotrackit\output\processd_track\2024-04-10_19000190005_车辆信息.csv',encoding='utf_8_sig', index=False)

[zdsjjtTLG]

数据呢

[Clancy6666]

下午我发一下，现在在宿舍，我申请加招助理了，能通过一下不

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---Original--- From: ***@***.***> Date: Thu, Jan 16, 2025 12:23 PM To: ***@***.***>; Cc: ***@***.******@***.***>; Subject: Re: [zdsjjtTLG/TrackIt] en/latest/Func%26API/GpsPreProcess/(Discussion #28) 数据呢 — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you commented.Message ID: ***@***.***>

[zdsjjtTLG]

你为啥不用返回的gps_trip呢？反而要去存储gps_gdf？小助理这几天比较忙，稍等