Hist classes and utilities
Project description
Hist
Hist is a analyst friendly front-end for boost-histogram.
Installation
You can install this library from PyPI with pip:
python -m pip install hist
Usage
import hist
# You can create a histogram like this.
h = (
hist.Hist()
.Reg(10, 0 ,1, name="x", label="x-axis")
.Variable(range(10), name="y", label="y-axis")
.Int64()
)
# Filling by names is allowed in hist.
hist.fill(y=[1, 4, 6], x=[3, 5, 2])
# New ways to manipulate the histogram.
h.project("x")
h[{"y": 1j + 3, "x": 5j}]
...
# Elegant plotting functions.
h.plot()
h.plot2d_full()
h.plot_pull(Callable)
...
Features
-
Hist augments metadata by adding names to axes; these are highly recommend and will help you track axes. There is also a special
NamedHist, which will enforce all hist axes have names, and all axes will require named access.name=is a unique label describing each axislabel=is an optional string that is used in plotting (defaults to name if not provided)- Indexing, projection, and more support named axes.
-
The
Histclass augments thebh.Histogramclass with the following shortcuts, designed for interactive exploration without extensive imports:- Optional import-free construction system
- Quick import-free data-coordinates and rebin syntax (use a j suffix for numbers, or strings directly in indexing expressions)
-
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
Development
python -m pip install hist
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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