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.

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-2023.1.4.tar.gz (21.7 kB view details)

Uploaded Source

Built Distribution

dask_histogram-2023.1.4-py3-none-any.whl (24.7 kB view details)

Uploaded Python 3

File details

Details for the file dask_histogram-2023.1.4.tar.gz.

File metadata

  • Download URL: dask_histogram-2023.1.4.tar.gz
  • Upload date:
  • Size: 21.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.1

File hashes

Hashes for dask_histogram-2023.1.4.tar.gz
Algorithm Hash digest
SHA256 d5fdf524265867105256507e18f0703b12ed000fbb8b22ea772a68437ad462ad
MD5 6b64693fc696a4008ae4020923dbacc2
BLAKE2b-256 700ac61f2af62e04698c30dcd9efd287f9af7ae077679c54a471dd29bdbbb92a

See more details on using hashes here.

File details

Details for the file dask_histogram-2023.1.4-py3-none-any.whl.

File metadata

File hashes

Hashes for dask_histogram-2023.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 3ee100efef3216857c13d5af835cba2f5c2e22b8bdd89631db1635ebe294fa56
MD5 67b5a0b15bc826a3f77bf91744644b92
BLAKE2b-256 8ae6b9023052c173c03c2b6026a7a33ed70ce6c3976f30af609659ba8edd2c11

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