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)
