def fun_rqa(v,metric): # Attempt sparse RQA if metric is euclidean metric_sup = (metric is "supremum") rp = RecurrencePlot(v, metric=metric, sparse_rqa=metric_sup, threshold=1.2, dim=3, tau=6) rqa = rp.rqa_summary() rqa["Lmax"] = rp.max_diaglength() rqa["ENT"] = rp.diag_entropy() rqa["TT"] = rp.trapping_time() return(rqa)