Bug#954385: ITP: numpy-groupies -- Optimised tools for group-indexing operations: aggregated sum and more
Package: wnpp
Severity: wishlist
Subject: ITP: numpy-groupies -- Optimised tools for group-indexing operations: aggregated sum and more
Package: wnpp
Owner: Diane Trout <diane@ghic.org>
Severity: wishlist
* Package name : numpy-groupies
Version : 0.9.10
Upstream Author : Copyright: Copyright (c) 2016, numpy-groupies developers
* URL : https://github.com/ml31415/numpy-groupies
* License : BSD-2-Clause-numpy-groupes
Programming Lang: Python
Description : Optimised tools for group-indexing operations: aggregated sum and more
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 the benchmarks comfortably beat similar implementations in
other packages.
Remark: This package is maintained by Debian Python Modules Team at
https://salsa.debian.org/python-team/modules/numpy-groupies
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