huracanpy.assess.match#
- huracanpy.assess.match(tracksets, names=['1', '2'], max_dist=300, min_overlap=0)[source]#
Match the provided track sets between them.
- Parameters:
tracksets (list[xarray.Dataset]) – list of track datasets to match together. Must be of length two or more.
names (list, optional) – list of track datasets names. Must be the same size as tracksets. The default is [‘1’,’2’].
max_dist (float, optional) – Threshold for maximum distance between two tracks. The default is 300.
min_overlap (int, optional) – Minimum number of overlapping time steps for matching. The default is 0.
- Returns:
- Dataframe containing the matching tracks with
the id from corresponding datasets the number of matching time steps (if only two datasets provided) the distance between two tracks (if only two datasets provided)
- Return type: