Data Output

The output of the different analysis steps in tobac are output as either pandas DataFrames in the case of one-dimensional data, such a lists of identified features or feature tracks or as xarray DataArrays/Iris Cubes in the case of 2D/3D/4D fields such as feature masks. Note that the dataframe output from tracking is a superset of the features dataframe.

• For information on feature detection output from tobac.feature_detection.feature_detection_multithreshold(), see (Feature Detection Output).

• For information on tracking output from tobac.tracking.linking_trackpy(), see (Tracking Output).

Note that in future versions of tobac, it is planned to combine both output data types into a single hierarchical data structure containing both spatial and object information. Additional information about the planned changes can be found in the v2.0-dev branch of the main tobac repository, as well as the tobac roadmap.