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-2023.4.2.tar.gz (22.8 kB view details)

Uploaded Source

Built Distribution

dask_histogram-2023.4.2-py3-none-any.whl (25.9 kB view details)

Uploaded Python 3

File details

Details for the file dask_histogram-2023.4.2.tar.gz.

File metadata

  • Download URL: dask_histogram-2023.4.2.tar.gz
  • Upload date:
  • Size: 22.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for dask_histogram-2023.4.2.tar.gz
Algorithm Hash digest
SHA256 75636e49cbf754ef5d2e95049f4777f7e8633e26c92554f15b012bec9ed68450
MD5 65dfcb9d24db88328262ae203dd5b195
BLAKE2b-256 cc723c1f65964f9d545225bafb165cf2b0dc51529fb59fbccaee5027e532eda9

See more details on using hashes here.

File details

Details for the file dask_histogram-2023.4.2-py3-none-any.whl.

File metadata

File hashes

Hashes for dask_histogram-2023.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bafb454c652778d327cdac465a748528f583fa7684a0e3696bd7a0f4bba4bdd3
MD5 400b9d9edbc57bdbe636e0e9b93d5d38
BLAKE2b-256 9ab171f4b7f91591cc41edf7ef3978f23db56e1f0649fe5c0a5ac45c61f1b818

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