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Published December 14, 2021 | Version v1.6.1
Software Open

JuliaData/Tables.jl: v1.6.1

  • 1. University of California, Berkeley
  • 2. SGH Warsaw School of Economics
  • 3. Franch Institute for Demographic Studies (Ined)
  • 4. Beacon Biosignals
  • 5. Proline Energy Resoucres Incorporated
  • 6. Center for Macroecology, Evolution and Climate
  • 7. @ElaraAI
  • 8. National Institiute of Technology, Hamirpur
  • 9. Brown University
  • 10. Invenia Technical Computing
  • 11. National Chiao Tung University
  • 12. @InterpretableAI
  • 13. University of Minnesota
  • 14. @JuliaComputing
  • 15. U.S. Bureau of Economic Analysis
  • 16. Veos Digital (https://veos.digital/)
  • 17. @streamlit
  • 18. Massachusetts Institute of Technology
  • 19. @invenia Labs

Description

Tables v1.6.1

Diff since v1.6.0

Closed issues:

  • how to user Table.partitioner to read spark partitioned datasets (#242)
  • columnaccess documentation clarification (#257)
  • Creating DataFrame from Vector of NamedTuples with different names (#260)
  • BoundsError on last(::MatrixTable) (#261)

Merged pull requests:

  • Fix internal use of columnaccess (#258) (@quinnj)
  • Minor docs clarification for custom types (#259) (@tpgillam)
  • Fix inconsistency between row and column behavior of MatrixTable (#262) (@quinnj)
  • Avoid assumption that Tables.getcolumn(x) always returns an AbstractVector. (#263) (@OkonSamuel)

Files

JuliaData/Tables.jl-v1.6.1.zip

Files (43.8 kB)

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Additional details

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