First Boost release, version 4.0 in former internal counting.
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Removed Python bindings, will be developed in separate repository
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All axes can be made optionally circular, except category axis
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All axes now support generic attached metadata
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All axes have now independently configurable underflow/overflow extra bins
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Removed circular axis (which is just a circular regular axis)
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Added indexed adaptor generator for convenient and fast iteration over
histograms
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Support for axes that can grow in range
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Support for axes which accept multiple values (example: hexagonal binning)
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Support for profiles and more generally, arbitrary accumulators in each
cell
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Support for serializing to xml archives
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Added compatibility with Boost.Range, Boost.Units, and Boost.Accumulators
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Added deduction guides for axis types and histogram
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Performance improvements
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Renamed
adaptive_storage
to unlimited_storage
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Replaced
boost::multiprecision::cpp_int with custom type to decouple
libraries
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Internal simplification of
axis::variant
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Make all storages behave more like containers, simplifying the design
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Histograms supports add, sub, mul, div
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replaced
operator[]
in axis with explicit method bin
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replaced
operator()
in axis with explicit method index
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replaced internal use of
boost::containers
with stdlib containers
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Much improved docs, reference documentation, user guide, more examples
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Allocator support everywhere
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Internal refactoring
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Renamed
bincount method
to size
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Support for axes with only overflow and no underflow bin
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category axis now by default has bin for "other" input that does
not fall into the predefined categories, making it consistent with other
axes
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NaN is now consistently put into overflow bin for all axes
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Eliminated warnings about safe internal conversions on MSVC
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Established a cpp house style with corresponding .clang-format file
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Better detection of Python library on all systems
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Improved code coverage by testing more input errors
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Raise ValueError instead of generic RuntimeError in Python on input errors
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Support for efficient adding of multiple histograms and scaling
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Re-design of category axis as a general mapping between unique values and
bins
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Re-design of the bin description an axis returns upon element access
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Interface cleanup and simplification, more consistency between Python and
C++ interface
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Iterators for histogram and axes for STL compatibility
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Regular axis in C++: Allowing transforms with state
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Regular axis in Python: Support for all C++ transforms
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Polymorphic axis::any type
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Internal refactoring from boost::mpl and boost::fusion to std::tuple and
boost::mp11
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Windows support
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Added static_histogram (v1.0 only had dynamic_histogram).
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Merged wfill(...) and fill(...) interface.
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Support custom allocators in storage classes.
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Replaced static_storage with array_storage.
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Replaced dynamic_storage with unlimited_storage, which adds the capability
to grow the bin counter into a cpp_int, thus avoiding integer overflow
completely.
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Serialization uses binary_archive instead of text_archive. The latter is
portable, but the performance is terrible.
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Python interface changed: histograms are now iterable, returning axis classes
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Support reduction (removing a subset of axes and returning the equivalent
histogram; in other words, those axes are integrated over)
