MovingPandas.TrajectoryCollection

movingpandas: Implementation of Trajectory classes and functions built on top of GeoPandas

class movingpandas.TrajectoryCollection(data, traj_id_col=None, obj_id_col=None, t=None, x=None, y=None, crs='epsg:4326', min_length=0, min_duration=None)
__init__(data, traj_id_col=None, obj_id_col=None, t=None, x=None, y=None, crs='epsg:4326', min_length=0, min_duration=None)

Create TrajectoryCollection from list of trajectories or GeoDataFrame

Parameters:
  • data (list[Trajectory] or GeoDataFrame or DataFrame) – List of Trajectory objects or a GeoDataFrame with trajectory IDs, point geometry column and timestamp index
  • traj_id_col (string) – Name of the GeoDataFrame column containing trajectory IDs
  • obj_id_col (string) – Name of the GeoDataFrame column containing moving object IDs
  • t (string) – Name of the DataFrame column containing the timestamp
  • x (string) – Name of the DataFrame column containing the x coordinate
  • y (string) – Name of the DataFrame column containing the y coordinate
  • crs (string) – CRS of the x/y coordinates
  • min_length (numeric) – Desired minimum length of trajectories. (Shorter trajectories are discarded.)
  • min_duration (timedelta) – Desired minimum duration of trajectories. (Shorter trajectories are discarded.)

Examples

>>> import geopandas as read_file
>>> import movingpandas as mpd
>>>
>>> gdf = read_file('data.gpkg')
>>> trajectory_collection = mpd.TrajectoryCollection(gdf, 'trajectory_id', t='t')
add_speed(overwrite=False)

Add speed column and values to the trajectories.

Speed is calculated as CRS units per second, except if the CRS is geographic (e.g. EPSG:4326 WGS84) then speed is calculated in meters per second.

Parameters:overwrite (bool) – Whether to overwrite existing speed values (default: False)
clip(polygon, point_based=False)

Clip trajectories by the given polygon.

Parameters:
  • polygon (shapely.geometry.Polygon) – Polygon to clip with
  • point_based (bool) – Clipping method
Returns:

Resulting clipped trajectory segments

Return type:

TrajectoryCollection

copy()

Return a copy of the trajectory collection.

Returns:
Return type:TrajectoryCollection
filter(property_name, property_values)

Filter trajectories by property

A property is a value in the df that is constant for the whole trajectory. The filter only checks if the value on the first row equals the requested property value.

Parameters:
  • property_name (string) – Name of the DataFrame column containing the property
  • property_values (list(any)) – Desired property values
Returns:

Trajectories that fulfill the filter criteria

Return type:

TrajectoryCollection

Examples

>>> filtered = trajectory_collection.filter('object_type', ['TypeA', 'TypeB'])
get_end_locations()

Returns GeoDataFrame with trajectory end locations

Returns:Trajectory end locations
Return type:GeoDataFrame
get_intersecting(polygon)

Return trajectories that intersect the given polygon.

Parameters:polygon (shapely.geometry.Polygon) – Polygon to intersect with
Returns:Resulting intersecting trajectories
Return type:TrajectoryCollection
get_locations_at(t)

Returns GeoDataFrame with trajectory locations at the specified timestamp

Parameters:t (datetime.datetime) –
Returns:Trajectory locations at timestamp t
Return type:GeoDataFrame
get_max(column)

Return maximum value in the provided DataFrame column over all trajectories

Parameters:column (string) – Name of the DataFrame column
Returns:Maximum value
Return type:Sortable
get_min(column)

Return minimum value in the provided DataFrame column over all trajectories

Parameters:column (string) – Name of the DataFrame column
Returns:Minimum value
Return type:Sortable
get_start_locations()

Returns GeoDataFrame with trajectory start locations

Returns:Trajectory start locations
Return type:GeoDataFrame
get_trajectory(traj_id)

Return the Trajectory with the requested ID

Parameters:traj_id (any) – Trajectory ID
Returns:
Return type:Trajectory
hvplot(*args, **kwargs)

Generate an interactive plot.

Parameters:
  • args – These parameters will be passed to the TrajectoryPlotter
  • kwargs – These parameters will be passed to the TrajectoryPlotter

Examples

Plot speed along trajectories (with legend and specified figure size):

>>> trajectory_collection.hvplot(c='speed', line_width=7.0, width=700, height=400, colorbar=True)
plot(*args, **kwargs)

Generate a plot.

Parameters:
  • args – These parameters will be passed to the TrajectoryPlotter
  • kwargs – These parameters will be passed to the TrajectoryPlotter

Examples

Plot speed along trajectories (with legend and specified figure size):

>>> trajectory_collection.plot(column='speed', legend=True, figsize=(9,5))
to_line_gdf()

Return the trajectories’ line segments as GeoDataFrame.

Returns:
Return type:GeoDataFrame
to_point_gdf()

Return the trajectories’ points as GeoDataFrame.

Returns:
Return type:GeoDataFrame
to_traj_gdf(wkt=False)

Return a GeoDataFrame with one row per Trajectory within the TrajectoryCollection

Returns:
Return type:GeoDataFrame