1.2.5

Fixed bug found in issue #53. Hist.fraction has to drop profile axes, but fails when there are no profile axes (it's the trivial case with nothing to drop).

1.2.4

Two-dimensional histogram -> PyROOT.

Thanks, @clelange! (PR #51).

1.2.3

Fixes #37 and #42: plotting improvements and a missing import threading.

1.2.1

Transfer to Scikit-HEP.

1.2.0

Added

• semantic histogram booking: see comment on #20
• ... which required Books to have a hierarchical tree structure
• ... which is aided by wildcard-based selection and viewing (projecting slices to fill independently of the rest)
• normalized histograms in tables (e.g. Pandas) and plotting
• fill from Pandas (hist.fill(df)) much like Spark
• JSON-serialization for histograms and books
• histograms have a filter as well as a weight (although a filter can be emulated by a weight)
• histograms and books can have arbitrary JSON attachments (e.g. fit results)

1.1.0

Several bug-fixes and features:

• Added PlottingChain.heatmap for two-dimensional histograms.
• Added a grid function for arranging plots in a rectangular grid.
• Fixed Combination classes (overlay, beside, below, and now grid) to be composable.
• Fixed #24: fill can accept a mix of array and scalar data.
• Fixed #23: named constants (like pi, e, inf, nan) are only assumed to be constants if not specified in fill.
• Removed dependency on the Meta library.

1.0.8

Profile plots have been tested in PySpark.

1.0.7

Fix bug in Spark filling.

1.0.6

Added SparkSQL filling: hist.fill(df) in PySpark uses Spark to compute increases to histogram bins and then adds them into hist.

Tested: all axis types, weights, and some simple expressions.

Implemented but untested: profile plots and Book.fill.

Note: no thread safety yet (not just for Spark, but in general).

1.0.5

Reduced the pickle size of Hist for easier remote filling.