mobilipy.segmentation

Functions

segment(prepared_df[, radius, min_samples, ...])

Finds clusters of waypoints for legs
mobilipy.segmentation.segment(prepared_df, radius=0.025, min_samples=50, time_gap=850, use_multiprocessing=True) → pandas.core.frame.DataFrame

Finds clusters of waypoints for legs

Parameters

  • df (pandas.DataFrame) – Waypoints DataFrame to be processed

  • radius (float) – Eps for DBSCAN

  • min_samples (int) – Minimum number of samples to be considered for

  • time_gap (float) – Max time gap threshold for detected clusters

Returns

pandas.DataFrame – DataFrame with the segment starts and ends