Optimised tools for group-indexing operations: aggregated sum and more.
Project description
This package consists of a couple of optimised tools for doing things that can roughly be
considered "group-indexing operations". The most prominent tool is aggregate
.
aggregate
takes an array of values, and an array giving the group number for each of those
values. It then returns the sum (or mean, or std, or any, ...etc.) of the values in each group.
You have probably come across this idea before, using matlab
accumarray, pandas
groupby,
or generally MapReduce algorithms and histograms.
There are different implementations of aggregate
provided, based on plain numpy
, numba
and weave
. Performance is a main concern, and so far we comfortably beat similar
implementations in other packages (check the benchmarks).
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