v0.17.1

Changed

• Updated version in setup.py to mark as a new version
• Upgrade atsge to v0.2.0

v0.17.0

Add

• New stage: Event-by-Event dataframes (like a skim), PR #108 @davignon

v0.16.1

Fixed

• Unit test that was broken by Pandas >1.0.0
• Bug in explode function when an dimension contains strings, issue #109, PR #110 @BenKrikler

v0.16.0

Added

• An API for different "backends" which run the actual data processing
• Add a backed for Coffea with local-multiprocessing executor. PR #102 @BenKrikler

Changed

• Refactor AlphaTwirl code to use the "backend" API. PR #101 @BenKrikler

v0.15.1

Changed

• Added support for variables with multiple dots in the name (nested branches). Issue #95, PR #97 @kreczko
• Fix JaggedNth to work with arbitrary depth jagged arrays, Issue #87, PR #99 @benkrikler
• Add protection against multiple dimensions using the same output name in a BinnedDataframe stage, Issue #92, PR #100 @benkrikler

v0.15.0

Added

• Existing collectors may now return their results within python, in addition to writing them to disk PR #90 @lgray

Changed

• Fix bug in BinnedDataframe stage, issue #89, PR #93 @benkrikler
• Pin atuproot to v0.1.13, PR #91
• Tidy the print out at the end of processing, PR #94

v0.14.3

Added

• Give fast-flow the "fast_carpenter" backend, issue #84, PR #85 @lorenafreitas

v0.14.2

Added

• JaggedNth supports negative indexing, PR #81 @pmk21

v0.14.1

Added

• Added version flag to CLI, PR #79. @maikefischer
• Prohibit ncores < 1, PR #76 @annakau

Changed

• Binned dataframes can now be produced from ND jagged arrays. @benkrikler

v0.14.0

Add support for ND jagged arrays