import pandas as pd
import geopandas as gpd
import movingpandas as mpd
import shapely as shp
import hvplot.pandas
import matplotlib.pyplot as plt

from geopandas import GeoDataFrame, read_file
from shapely.geometry import Point, LineString, Polygon
from datetime import datetime, timedelta
from holoviews import opts, dim

import warnings

warnings.filterwarnings("ignore")

plot_defaults = {"linewidth": 5, "capstyle": "round", "figsize": (9, 3), "legend": True}
opts.defaults(opts.Overlay(active_tools=["wheel_zoom"]))
hvplot_defaults = {
    "tiles": "CartoLight",
    "frame_height": 320,
    "frame_width": 320,
    "cmap": "Viridis",
    "colorbar": True,
}

mpd.show_versions()

MovingPandas 0.22.4

SYSTEM INFO
-----------
python     : 3.10.19 | packaged by conda-forge | (main, Jan 26 2026, 23:45:08) [GCC 14.3.0]
executable : /home/anita/miniforge3/envs/mpd-ex/bin/python
machine    : Linux-6.8.0-107-generic-x86_64-with-glibc2.39

PROJ INFO
-----------
PROJ       : 9.6.2
PROJ data dir: /home/anita/miniforge3/envs/mpd-ex/share/proj

PYTHON DEPENDENCIES
-------------------
numpy      : 1.23.1
geopandas  : 1.0.1
geopy      : 2.4.1
geoviews   : 1.15.1
holoviews  : 1.22.1
hvplot     : 0.12.2
mapclassify: 2.8.1
matplotlib : 3.10.8
pandas     : 2.3.3
pyproj     : 3.7.1
shapely    : 2.1.2
stonesoup  : 1.8

df = pd.DataFrame(
    [
        {"geometry": Point(0, 0), "t": datetime(2018, 1, 1, 12, 0, 0)},
        {"geometry": Point(6, 0), "t": datetime(2018, 1, 1, 12, 6, 0)},
        {"geometry": Point(6, 6), "t": datetime(2018, 1, 1, 12, 10, 0)},
        {"geometry": Point(9, 9), "t": datetime(2018, 1, 1, 12, 15, 0)},
    ]
).set_index("t")
geo_df = GeoDataFrame(df, crs=31256)
toy_traj = mpd.Trajectory(geo_df, 1)
toy_traj.df

df = pd.DataFrame(
    [
        {"geometry": Point(3, 3), "t": datetime(2018, 1, 1, 12, 0, 0)},
        {"geometry": Point(3, 9), "t": datetime(2018, 1, 1, 12, 6, 0)},
        {"geometry": Point(2, 9), "t": datetime(2018, 1, 1, 12, 10, 0)},
        {"geometry": Point(0, 7), "t": datetime(2018, 1, 1, 12, 15, 0)},
    ]
).set_index("t")
geo_df = GeoDataFrame(df, crs=31256)
toy_traj2 = mpd.Trajectory(geo_df, 1)
toy_traj2.df

ax = toy_traj.plot()
toy_traj2.plot(ax=ax, color="red")

<Axes: >

print(f"Distance: {toy_traj.distance(toy_traj2)} meters")
print(f"Hausdorff distance: {toy_traj.hausdorff_distance(toy_traj2):.2f} meters")

Distance: 3.0 meters
Hausdorff distance: 6.08 meters

print(f'Distance: {toy_traj.distance(toy_traj2, units="cm")} cm')
print(
    f'Hausdorff distance: {toy_traj.hausdorff_distance(toy_traj2, units="km"):.6f} km'
)

Distance: 300.0 cm
Hausdorff distance: 0.006083 km

pt = Point(1, 5)
line = LineString([(3, 3), (3, 9)])

ax = toy_traj.plot()
gpd.GeoSeries(pt).plot(ax=ax, color="red")
gpd.GeoSeries(line).plot(ax=ax, color="red")

<Axes: >

print(f"Distance: {toy_traj.distance(pt)}")
print(f"Hausdorff distance: {toy_traj.hausdorff_distance(pt):.2f}")

Distance: 5.0
Hausdorff distance: 8.94

print(f"Distance: {toy_traj.distance(line)}")
print(f"Hausdorff distance: {toy_traj.hausdorff_distance(line)}")

Distance: 3.0
Hausdorff distance: 6.0

print(f'Distance: {toy_traj.distance(line, units="cm")} cm')
print(f'Hausdorff distance: {toy_traj.hausdorff_distance(line, units="km"):.6f} km')

Distance: 300.0 cm
Hausdorff distance: 0.006000 km

	geometry	traj_id
t
2018-01-01 12:00:00	POINT (0 0)	1
2018-01-01 12:06:00	POINT (6 0)	1
2018-01-01 12:10:00	POINT (6 6)	1
2018-01-01 12:15:00	POINT (9 9)	1

Measuring distances¶

Measuring distances between trajectories¶

Measuring distances between trajectories and other geometry objects¶