_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-tdigest 0.6.0.1
Propagated dependencies: python-accumulation-tree@0.6.4-0.3617051 python-pyudorandom@1.0.0-0.473b3f9
Channel: guix
Location: gnu/packages/digest.scm (gnu packages digest)
Home page: https://github.com/CamDavidsonPilon/tdigest
Licenses: Expat
Build system: pyproject
Synopsis: Python implementation of the t-digest data structure
Description:

This Python package implements Ted Dunning's t-digest data structure, which is designed around computing accurate estimates such as percentiles, quantiles and trimmed means from streaming or distributed data. Two t-digests can be added, making the data structure ideal for map-reduce settings, and can be serialized into much less than 10 kB, instead of storing the entire list of data.

Total packages: 1