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-2024.9.0.tar.gz (24.1 kB view details)

Uploaded Source

Built Distribution

dask_histogram-2024.9.0-py3-none-any.whl (27.3 kB view details)

Uploaded Python 3

File details

Details for the file dask_histogram-2024.9.0.tar.gz.

File metadata

  • Download URL: dask_histogram-2024.9.0.tar.gz
  • Upload date:
  • Size: 24.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for dask_histogram-2024.9.0.tar.gz
Algorithm Hash digest
SHA256 a15d1c59f5082f6a97496850d0cb8f5197cc51585abeb68bee6d704529904060
MD5 09319a34b8991ee71e2e2513ab725618
BLAKE2b-256 281d01911453087ee74e97a3f93954fb1a2a3b984f6f83c1e920365fb3863a03

See more details on using hashes here.

File details

Details for the file dask_histogram-2024.9.0-py3-none-any.whl.

File metadata

File hashes

Hashes for dask_histogram-2024.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a0e2d9e0dca879667fb333a0e8e718521837c95c88442803ddd94742354d2046
MD5 8e9a2b1ee25c76520f5eb5986677ddff
BLAKE2b-256 c8a288cccc7ccebbd7ff34c3d3d11ebe8a468425bc376e4ef7465c75925065e0

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