Skip to main content

Hist classes and utilities

Project description

histogram

Hist

Actions Status Documentation Status Code style: black

PyPI version Conda-Forge PyPI platforms DOI

GitHub Discussion Gitter Scikit-HEP

Hist is a analyst friendly front-end for boost-histogram, designed for Python 3.6+.

Installation

You can install this library from PyPI with pip:

python3 -m pip install "hist[plot]"

If you do not need the plotting features, you can skip the [plot] extra.

Features

Hist currently provides everything boost-histogram provides, and the following enhancements:

  • Hist augments axes with names:

    • name= is a unique label describing each axis.
    • label= is an optional string that is used in plotting (defaults to name if not provided).
    • Indexing, projection, and more support named axes.
    • Experimental NamedHist is a Hist that disables most forms of positional access.
  • The Hist class augments bh.Histogram with reduced typing construction:

    • Optional import-free construction system
    • flow=False is a fast way to turn off flow
    • Storages can be given by string
    • storage= can be omitted
  • Hist implements UHI+; an extension to the UHI (Unified Histogram Indexing) system designed for import-free interactivity:

    • Uses j suffix to switch to data coordinates in access or slices
    • Uses j suffix on slices to rebin
    • Strings can be used directly to index into string category axes
  • Quick plotting routines encourage exploration:

    • .plot() provides 1D and 2D plots
    • .plot2d_full() shows 1D projects around a 2D plot
    • .plot_pull(...) performs a pull plot
  • Notebook ready: Hist has gorgeous in-notebook representation.

    • No dependencies required

Usage

from hist import Hist

# Quick construction, no other imports needed:
h = (
  Hist.new
  .Reg(10, 0 ,1, name="x", label="x-axis")
  .Var(range(10), name="y", label="y-axis")
  .Int64()
)

# Filling by names is allowed:
h.fill(y=[1, 4, 6], x=[3, 5, 2])

# Names can be used to manipulate the histogram:
h.project("x")
h[{"y": 0.5j + 3, "x": 5j}]

# You can access data coordinates or rebin with a `j` suffix:
h[.3j:, ::2j] # x from .3 to the end, y is rebinned by 2

# Elegant plotting functions:
h.plot()
h.plot2d_full()
h.plot_pull(Callable)

Development

From a git checkout, run:

python -m pip install -e .[dev]

See CONTRIBUTING.md for information on setting up a development environment.

Contributors

We would like to acknowledge the contributors that made this project possible (emoji key):


Henry Schreiner

🚧 💻 📖

Nino Lau

🚧 💻 📖

Chris Burr

💻

Eduardo Rodrigues

💻

This project follows the all-contributors specification.

Talks


Acknowledgements

This library was primarily developed by Henry Schreiner and Nino Lau.

Support for this work was provided by the National Science Foundation cooperative agreement OAC-1836650 (IRIS-HEP) and OAC-1450377 (DIANA/HEP). Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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

hist-2.2.0.tar.gz (413.8 kB view details)

Uploaded Source

Built Distribution

hist-2.2.0-py3-none-any.whl (22.9 kB view details)

Uploaded Python 3

File details

Details for the file hist-2.2.0.tar.gz.

File metadata

  • Download URL: hist-2.2.0.tar.gz
  • Upload date:
  • Size: 413.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for hist-2.2.0.tar.gz
Algorithm Hash digest
SHA256 0de95877b64e2968dbec5267786e6b5d327045152c46d4e387cc9b5181a9d4b3
MD5 4913f505e0feeafd3629a7fad7be3afc
BLAKE2b-256 2a78d30a637c5b2ed076cfe0980a43b007e2900b3139d34ad21ea22787e5e762

See more details on using hashes here.

File details

Details for the file hist-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: hist-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 22.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

File hashes

Hashes for hist-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 400f74b9b759f962fc373dc21577acc2cb9a7822a1886b1bb88da728673e0631
MD5 7f7a5dad1d05f1e876e5108897eb86db
BLAKE2b-256 4a7422255831faa883172ea8b684382372caac4dc8c0c3a88945e0afefe47397

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