Skip to main content

Histogramming with Dask.

Project description

dask-histogram

Scale up histogramming with Dask.

Tests Documentation Status PyPI version Conda Forge Python Version

The boost-histogram library provides a performant object oriented API for histogramming in Python. Building on the foundation of boost-histogram, dask-histogram adds support for lazy calculations on Dask collections.

See the documentation for examples and the API reference.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dask_histogram-2024.9.1.tar.gz (24.2 kB view details)

Uploaded Source

Built Distribution

dask_histogram-2024.9.1-py3-none-any.whl (27.4 kB view details)

Uploaded Python 3

File details

Details for the file dask_histogram-2024.9.1.tar.gz.

File metadata

  • Download URL: dask_histogram-2024.9.1.tar.gz
  • Upload date:
  • Size: 24.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for dask_histogram-2024.9.1.tar.gz
Algorithm Hash digest
SHA256 a3e778b606db4affcc4fc8b6d34f5d99e165ea1691da57f40659032cd79f03e8
MD5 34f15e949325751c32fbed9e9d1070cd
BLAKE2b-256 58b9dc25ea1812a82b91a5d7f626a6320d5988b9fd0a5fc5cde52472dc4865a9

See more details on using hashes here.

File details

Details for the file dask_histogram-2024.9.1-py3-none-any.whl.

File metadata

File hashes

Hashes for dask_histogram-2024.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 00053c114b0e34a9d3f53a1821e5adf5a9bf7ca3617107ac77c1c6ce8fa42dd1
MD5 022c44222f86fc58eb44664fa9857633
BLAKE2b-256 d1d70835890d4a87bc9a9e54dec30b8a4a2137657765d2e4ca17d172a5e39fb4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page