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-2023.4.0.tar.gz (22.5 kB view details)

Uploaded Source

Built Distribution

dask_histogram-2023.4.0-py3-none-any.whl (25.8 kB view details)

Uploaded Python 3

File details

Details for the file dask_histogram-2023.4.0.tar.gz.

File metadata

  • Download URL: dask_histogram-2023.4.0.tar.gz
  • Upload date:
  • Size: 22.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for dask_histogram-2023.4.0.tar.gz
Algorithm Hash digest
SHA256 9359ce3d93dc515bc74ba5c97df72be3bfe151fc36e22a54693a72fc1898c442
MD5 d9378f32d112d72211b6cfb0200d48e4
BLAKE2b-256 91d4f27f29ad18841d8c258cb8ce1ef4b19854034509a91814c63555c7796997

See more details on using hashes here.

File details

Details for the file dask_histogram-2023.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for dask_histogram-2023.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 70c26f2407f07ac254a07f4fdcc03a09ca8cb99733f759bd84c9958af1cbce40
MD5 9a389a89f9bf1571358afef7894b4997
BLAKE2b-256 618f26056b325674810256beda12eb80b2f5a0dcccd9f4af7d296d5fd062e53a

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