`trajminer`.TrajectoryData¶

class trajminer.TrajectoryData(attributes, data, tids, labels=None)¶

Trajectory data wrapper.

attributesarray-like: The names of attributes/features describing trajectory points in the dataset.
dataarray-like, shape: (n_trajectories, n_points, n_features): The trajectory data.
tidsarray-like: The corresponding trajectory IDs of trajectories in data.
labelsarray-like (default=None): The corresponding labels of trajectories in data.

__init__(attributes, data, tids, labels=None)¶: Initialize self. See help(type(self)) for accurate signature.

get_attributes()¶

Retrieves the attributes in the dataset.

get_label(tid)¶

Retrieves the label for the corresponding tid.

get_labels(unique=False)¶

Retrieves the labels of the trajectories in the dataset.

uniquebool (default=False): If True, then the set of unique labels is returned. Otherwise, an array with the labels of each individual trajectory is returned.

labelsarray: An array of length n_trajectories if unique=False, and of length n_labels otherwise.

get_tids(label=None)¶

Retrieves the trajectory IDs in the dataset.

labelint (default=None): If None, then retrieves all trajectory IDs. Otherwise, returns the IDs corresponding to the given label.

get_trajectories(label=None)¶

Retrieves multiple trajectories from the dataset.

labelint (default=None): The label of the trajectories to be retrieved. If None, then all trajectories are retrieved.

trajectoriesarray: The trajectories of the given label. If label=None or if the dataset does not contain labels, then all trajectories are returned.

get_trajectory(tid)¶

Retrieves a trajectory from the dataset.

trajectoryarray, shape: (n_points, n_features): The corresponding trajectory.

length()¶

Returns the number of trajectories in the dataset.

merge(other, ignore_duplicates=True, inplace=True)¶

Merges this trajectory data with another one. Notice that this method only works if the datasets have the same set of attributes.

othertrajminer.TrajectoryData: The dataset to be merged with.
ignore_duplicatesbool (default=True): If True, then trajectory IDs in other that already exist in self are ignored. Otherwise, raises an exception when a duplicate is found.
inplacebool (default=True): If True modifies the current object, otherwise returns a new object.

datasettrajminer.TrajectoryData: The merged dataset. If inplace=True, then returns the modified current object.

stats(print_stats=False)¶

Computes statistics for the dataset.

trajminer.TrajectoryData¶