![]() ![]() ![]() Print("Top 3 clusters: ", counter.most_common(3))Ĭluster_norm = sum(counter.values(), 0.0)Ĭounter() This is the code I have used to prototype what I'm trying to accomplish: import math All of these should be returned to the same dataframe. I am looking to extract the count of each item in trajectory for every user_id, calculate/return the probability mass function ( pmf) for each item in the list, and return the top-3 (or any number) items by pmf. I have the below dataset in a pandas dataframe.
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