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Ibis percent_rank doesn't implement the correct SQL percent_rank algorithm, instead it implements the algorithm for cume_dist, the same behavior of pandas (pandas-dev/pandas#28975).
Currently, ibis core has already percent_rank, so probably we can implement the percent_rank in the SQL way for now here.
for the cume_dist, maybe we can create the operator class here first, and open a PR (in parallel) to ibis core.
Ibis
percent_rank
doesn't implement the correct SQLpercent_rank
algorithm, instead it implements the algorithm forcume_dist
, the same behavior ofpandas
(pandas-dev/pandas#28975).Currently, ibis core has already
percent_rank
, so probably we can implement thepercent_rank
in the SQL way for now here.for the
cume_dist
, maybe we can create the operator class here first, and open a PR (in parallel) to ibis core.The work made at PR ibis-project/ibis#2224 can be used as reference/base.
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