Published December 14, 2021
| Version v1.6.1
Software
Open
JuliaData/Tables.jl: v1.6.1
Authors/Creators
- Jacob Quinn
- David Anthoff1
- Bogumił Kamiński2
- Milan Bouchet-Valat3
- Takafumi Arakaki
- Tamas K. Papp
- Alex Arslan4
- ExpandingMan
- Jarrett Revels4
- Okon Samuel5
- Rafael Schouten6
- Nick Robinson
- Andy Ferris7
- Andrey Oskin
- Arsh Sharma8
- Dilum Aluthge9
- Eric Davies10
- Eric Hanson4
- Erjan Kalybek
- Iblis Lin11
- Jack Dunn12
- Jacob Adenbaum13
- Josh Day14
- José Bayoán Santiago Calderón, PhD15
- Julia TagBot
- Pietro Vertechi16
- Randy Zwitch17
- Ari Huttunen
- Steven G. Johnson18
- Tom Gillam19
- 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
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
Additional details
Related works
- Is supplement to
- https://github.com/JuliaData/Tables.jl/tree/v1.6.1 (URL)