Version 2.5.1

• Support named stack indexing #325
• Fix histoprint error with stacks #325
• Better README

Version 2.5.0

• Stacks support axes, math operations, projection, setting items, and iter/dict construction. They also support histogram titles in legends. Added histoprint support for Stacks. #291 #315 #317 #318
• Added name= and label= to histograms, include Hist arguments in QuickConstruct. #297
• AxesTuple now supports bulk name setting, h.axes.name = ("a", "b", ...). #288
• Added hist.new alias for hist.Hist.new. #296
• Added "efficiency" uncertainty_type option for ratio_plot API. #266 #278

Smaller features or fixes:

• Dropped Python 3.6 support. #194
• Uses boost-histogram 1.2.x series, includes all features and fixes, and Python 3.10 support.
• No longer require scipy or iminuit unless actually needed. #316
• Improve and clarify treatment of confidence intervals in intervals submodule. #281
• Use NumPy 1.21 for static typing. #285
• Support running tests without plotting requirements. #321

Version 2.4.0

• Support .stack(axis) and stacked histograms. #244 #257 #258
• Support selection lists (experimental with boost-histogram 1.1.0). #255
• Support full names for QuickConstruct, and support mistaken usage in constructor. #256
• Add .sort(axis) for quickly sorting a categorical axis. #243

Smaller features or fixes:

• Support nox for easier contributor setup. #228
• Better name axis error. #232
• Fix for issue plotting size 0 axes. #238
• Fix issues with repr information missing. #241
• Fix issues with wrong plot shortcut being triggered by Integer axes. #247
• Warn and better error if overlapping keyword used as axis name. #250

Along with lots of smaller docs updates.

Version 2.3.0

• Add plot_ratio to the public API, which allows for making ratio plots between the histogram and either another histogram or a callable. #161
• Add .profile to compute a (N-1)D profile histogram. #160
• Support plot1d / plot on Histograms with a categorical axis. #174
• Add frequentist coverage interval support in the intervals module. #176
• Allow plot_pull to take a more generic callable or a string as a fitting function. Introduce an option to perform a likelihood fit. Write fit parameters' values and uncertainties in the legend. #149
• Add fit_fmt= to plot_pull to control display of fit params. #168
• Support <prefix>_kw arguments for setting each axis in plotting. #193
• Cleaner IPython completion for Python 3.7+. #179

Version 2.2.1

• Fix bug with plot_pull missing a sqrt. #150
• Fix static typing with ellipses. #145
• Require boost-histogram 1.0.1+, fixing typing related issues, allowing subclassing Hist without a family and including a important Mean/WeighedMean summing fix. #151

Version 2.2.0

• Support boost-histogram 1.0. Better plain reprs. Full Static Typing. #137

• Support data= when construction a histogram to copy in initial data. #142

• Support Hist.from_columns, for simple conversion of DataFrames and similar structures #140

• Support .plot_pie for quick pie plots #140

Version 2.1.1

• Fix density (and density based previews)
  #134 <https://github.com/scikit-hep/hist/pull/134>_

Version 2.1.0

This version provides many new features from boost-histogram 0.12 and 0.13; see the changelog in boost-histogram for details.

• Support shortcuts for setting storages by string or position #129

Updated dependencies:

• boost-histogram 0.11.0 to 0.13.0.
  • Major new features, including PlottableProtocol
• histoprint >=1.4 to >=1.6.
• mplhep >=0.2.16 when [plot] given

Version 2.0.1

Hist version 2.0.1 comes out. The following fixes are applied:

• Make sum of bins explicit in notebook representations. #106
• Fixed plot2d_full incorrectly mirroring the y-axis. #105
• Hist.plot_pull: more suitable bands in the pull bands 1sigma, 2 sigma, etc. #102
• Fixed classichist's usage of get_terminal_size to support not running in a terminal #99

Version 2.0.0

Final 2.0 release of Hist! Since beta 1, the following changes were made:

• Based on boost-histogram 0.11; now supports two way conversion without metadata issues.
• mplhep is now used for all plotting. Return types changed; fig dropped, new figures only created if needed.
• QuickConstruct was rewritten, uses new.Reg(...).Double(); not as magical but clearer types and usage.
• Plotting requirements are no longer required, use [plot] to request.

The following new features were added:

• Jupyter HTML repr's were added.
• flow=False shortcut added.
• Static type checker support for dependent projects.

The following fixes were applied:

• .fill was broken for WeighedMean storage.