pyart.retrieve.determine_medoids#

pyart.retrieve.determine_medoids(medoids_dict, var_names, hydro_names, nmedoids_min=1, acceptance_threshold=0.5, kmax_iter=100, use_median=False)[source]#

Computes the final medoids from the medoids found at each iteration

Parameters:

  • medoids_dict (dict) – dictionary of type dict[hydro_name]= array(niterations, nvars) containing the medoids for each hydrometeor type computed at each iteration

  • var_names (1D-array of str) – Name of variables

  • hydro_names (1D-array of str) – Name of hydrometeors

  • nmedoids_min (int) – Minimum number of intermediate medoids to compute an intermediate medoid

  • acceptance_threshold (float) – Threshold on the inter-quantile coefficient of dispersion of the medoids above which the medoid of the class is not acceptable.

  • use_median (bool) – If True the final medoid is compute as the median of each variable in the intermediate medoids. Otherwise is computed using the kmedoids algorithm

Returns:

final_medoids_dict (dict) – dictionary of type dict[hydro_name]= medoids_arr containing the medoids for each hydrometeor type that has been accepted