Materializing Views documentation example fails on PageRank and/or "to_df()" call???

In the docs for the Raphtory, Graph Views > Materializing Views, there is this example given that fails to run as I try to learn the usage graph analysis
--o

import raphtory.algorithms as algo

grooming_week1 = g.layers(["Grooming"]).window("2019-06-17", "2019-06-24")
print(f"Grooming week 1: {grooming_week1.count_temporal_edges()} edge updates")

cached = grooming_week1.cache_view()

pr = algo.pagerank(cached)
top_baboons = pr.to_df().sort_values("value", ascending=False).head(5)
print(f"\nTop 5 baboons by PageRank in grooming network:")
print(top_baboons.to_string(index=False))

--o

Apparently the error is thrown at "top_baboons = pr.to_df().sort_values("value", ascending=False).head(5)", stating (in VS Code)... AttributeError: 'raphtory.output_node_state.OutputNodeState' object has no attribute 'to_df'

Not sure if this is an oversight or a bug somewhere, thanks in advance for any help in clarifying / resolving.

Start with the Graph Views > Materializing Views documentation example and run the PageRank snippet, focusing on the failing pr.to_df() call. Check the returned OutputNodeState API and related examples to determine the supported conversion. Done means the documented example runs successfully and produces the top five results.