Hist classes and utilities
Project description
Hist
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 tonameif not provided).- Indexing, projection, and more support named axes.
- Experimental
NamedHistis aHistthat disables most forms of positional access.
-
The
Histclass augmentsbh.Histogramwith reduced typing construction:- Optional import-free construction system
flow=Falseis a fast way to turn off flow
-
Hist implements UHI+; an extension to the UHI system designed for import-free interactivity:
- Uses
jsuffix to switch to data coordinates in access or slices - Uses
jsuffix on slices to rebin - Strings can be used directly to index into string category axes
- Uses
-
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")
.Variable(range(10), name="y", label="y-axis")
.Int64()
)
# Filling by names is allowed:
hist.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 🚧 💻📖 |
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.
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