GeoTrajectory#

A GeoTrajectory specialized for trajectory data representing the evolution of a traffic participant but with position information enoded as GeoObject using shapely. A Geotrajectory is a collection of tasi.GeoPose.

digraph inheritance61adb80831 { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "CollectionBase" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled"]; "PandasBase" -> "CollectionBase" [arrowsize=0.5,style="setlinewidth(0.5)"]; "IndexMixin" -> "CollectionBase" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DataFrame" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Two-dimensional, size-mutable, potentially heterogeneous tabular data."]; "GeoDataFrame" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="A GeoDataFrame object is a pandas.DataFrame that has one or more columns"]; "GeoTrajectory" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Representation of a traffic participant's trajectory with geospatial encoded position"]; "TrajectoryBase" -> "GeoTrajectory" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GeoDataFrame" -> "GeoTrajectory" [arrowsize=0.5,style="setlinewidth(0.5)"]; "IndexMixin" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled"]; "LocatableEntity" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled"]; "PandasBase" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled"]; "DataFrame" -> "PandasBase" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TASIBase" -> "PandasBase" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TimestampMixin" -> "PandasBase" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PoseCollectionBase" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled"]; "CollectionBase" -> "PoseCollectionBase" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TASIBase" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled"]; "LocatableEntity" -> "TASIBase" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TimestampMixin" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled"]; "TrajectoryBase" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled"]; "PoseCollectionBase" -> "TrajectoryBase" [arrowsize=0.5,style="setlinewidth(0.5)"]; }

Serialization / IO / conversion#

GeoTrajectory.from_csv(file[, indices])

Read a dictionary-alike object from a .csv file as a pandas DataFrame.

Indexing#

GeoTrajectory.att(timestamps[, columns])

Filtering#

GeoTrajectory.during(since, until[, ...])

Select rows within a specific time range (include "since", exclude "until").

Analysis#

GeoTrajectory.most_likely_class

Attributes#

`GeoTrajectory.attributes`	Returns the dataset attributes
`GeoTrajectory.id`	Returns the id in the pose
`GeoTrajectory.interval`	Returns the time interval this object spans
`GeoTrajectory.timestamps`	The unique timestamps in the dataframe

Note

All pandas DataFrame methods are also available.