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Lux 0.2.0

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@dorisjlee dorisjlee released this 10 Oct 16:20
· 199 commits to master since this release
1bd3e7f

The lux-api v0.2.0 release contains major feature additions, refactoring, and changes towards a more usable and minimal API. This release documents the contributions from Spring to Summer 2020, with the goal of making Lux more robust, bug-free, and easier to use. This is the first release supporting a stable API. This release is associated with lux-widget v0.1.0, refer to the release notes for details on frontend changes.

Major Features

  • New programmatic objects Vis, VisList
  • Ability to set Vis as intent
  • Simplified property access for intent, exported, and protected LuxDataFrame properties
  • Added plot_config setting to customize plot style
  • Default option to fallback to Pandas for errors
  • Added support for Row and Column Group based on dataframe index
  • Extended semantic type detection, temporal and ID fields
  • Pandas Executor added support for colored bar/line chart (#48)
  • UI Warning message support for ID fields (#71)
  • Improve interestingness scoring (#72, #59)
  • Basic history mechanism to support df.head and df.tail (#73)
  • standalone option for to_Altair (#75)
  • Warning message for temporal column (#80)
  • Pandas compatibility and coverage test and related bugfixes (#86, #92)

Scalability

  • Improve metadata maintenance and expiration mechanism to avoid costly __init__ calls (#63, #81)
  • Pandas Executor supports generic random sampling for above 10k and above 30k rows (capped) with caching (#96)
  • Render large scatterplots (above 5k rows) as binned heatmaps. 2D binning support in Pandas Executor with correlation-based lazy evaluation (#95).

Installation, Documentation, Tutorials

  • Improved ReadTheDocs documentation
  • New demo and multi-part tutorial notebooks

Contributors

We thank the following users who have contributed to this release: @caitlynachen, @cjachekang, @dorisjlee, @jaywoo123, @jerrysong1324, @jinimukh, @jrdzha, @thyneb19, @westernguy2.
Additional thanks to Aditya Parameswaran and Marti Hearst for providing valuable feedback that contributed to this release.