路径匹配报错GPS data preprocessing error: ValueError('Invalid fill method. Expecting pad (ffill) or backfill (bfill). Got linear')

[Clancy6666]

我的路径匹配一直不成功，源代码如下：
import pandas as pd
import geopandas as gpd
from gotrackit.map.Net import Net
from gotrackit.MapMatch import MapMatch
from gotrackit.MatchResAna import generate_check_file
from gotrackit.gps.GpsTrip import GpsPreProcess
from gotrackit.gps.Trajectory import TrajectoryPoints
import os
import logging

配置日志

logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

if name == 'main':
# 读取路网数据

    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 = gps_gdf.drop(['wheel_angle', 'transmission', 'undirected_acc', 'pos_utm_y', 'pos_utm_x'], axis=1)
    gps_gdf['agent_id'] = 0

# 格式化时间
    gps_gdf['time'] = pd.to_datetime(gps_gdf['time'], unit='ms').dt.tz_localize('UTC').dt.tz_convert(
        'Asia/Shanghai')
    gps_gdf['time'] = gps_gdf['time'].dt.strftime("%Y-%m-%d %H:%M:%S")

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

#数据预处理

    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_trip.drop_duplicates(subset=['agent_id', 'time'], keep='first', inplace=True)
    gps_trip.reset_index(inplace=True, drop=True)

#数据处理

    # 构建TrajectoryPoints类, 并且指定一个plain_crs
    tp = TrajectoryPoints(gps_points_df=gps_trip, time_unit='s', plain_crs='EPSG:32650')

    #  间隔3个点采样一个点
    tp.lower_frequency(lower_n=3)
    tp.del_dwell_points(dwell_n=15,dwell_l_length=20)

    process_df = tp.trajectory_data(_type='df')

    out_fldr=r'D:\python_object\gotrackit\output\processd_track'
    tp.export_html(out_fldr=out_fldr, file_name='sample', radius=3.0)

# 路网匹配

    logging.info("Reading link and node data...")
    link = gpd.read_file(r"D:\python_object\gotrackit\output\reverse\shanghai_rectangle\FinalLink.shp")
    node = gpd.read_file(r"D:\python_object\gotrackit\output\reverse\shanghai_rectangle\FinalNode.shp")
    link = link.to_crs('EPSG:4326')  # 确保是EPSG:4326
    node = node.to_crs('EPSG:4326')  # 确保是EPSG:4326
    logging.info("Data read and transformed successfully.")

    # 初始化路网
    logging.info("Initializing network...")
    my_net = Net(link_gdf=link, node_gdf=node, plane_crs='EPSG:32651', cut_off=1200.0)
    my_net.init_net()
    logging.info("Network initialized successfully.")


    # 创建 MapMatch 对象
    logging.info("Creating MapMatch object...")
    mpm = MapMatch(net=my_net, flag_name='shanghai',
                   use_sub_net=False,
                   gps_buffer=100, top_k=20,
                   dense_gps=True,
                   use_heading_inf=True, omitted_l=6.0,
                   del_dwell=False,
                   export_html=True, export_geo_res=True, use_gps_source=True,
                   gps_radius=15.0, export_all_agents=False,
                   out_fldr=r'D:\python_object\gotrackit\output\processd_track')

    try:
        # 执行匹配
        logging.info("Executing matching process...")
        match_res, warn_info, error_info = mpm.execute(gps_df=process_df)
        match_res.to_csv(r'D:\python_object\gotrackit\output\processd_track\match_res.csv', encoding='utf_8_sig', index=False)
        logging.info("Matching process completed successfully.")
    except Exception as e:
        logging.error(f"Error in getting matching results: {e}")

# # 生成检查文件
# logging.info("Generating check file...")
# generate_check_file(my_net, warn_info_dict=warn_info,
#                     out_fldr=r'D:\python_object\gotrackit\output\processd_track',
#                     file_name='check_net')
# logging.info("Check file generated successfully.")

[zdsjjtTLG]

你试试能不能运行这个代码：

import pandas as pd
df = pd.DataFrame({'a': [1, None, 2]})
df['b'] = df['a'].interpolate(method='linear')
print(df)

[Clancy6666]

好的感谢，运行这行代码的时候，就会出现这个错误

[Clancy6666]

进入函数，最终应该是这一行有问题

[zdsjjtTLG]

最开始我也觉得是这行的问题，但是我这边没法复现，你加一下小助手的微信？远程给你看看

[zdsjjtTLG]

通过远程辅助已解决。
问题：环境配错了，一直在用1.5.3版本的pandas(版本过低)跑代码