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Published March 25, 2021 | Version v0.22.6
Software Open

JuliaData/DataFrames.jl: v0.22.6

Authors/Creators

  • 1. Facebook
  • 2. SGH Warsaw School of Economics
  • 3. Franch Institute for Demographic Studies (Ined)
  • 4. Google
  • 5. Technical University of Munich
  • 6. University of Wisconsin
  • 7. Electric Power Research Institute
  • 8. SecondSpectrum
  • 9. Beacon Biosignals
  • 10. University of California, Berkeley
  • 11. @JuliaComputing
  • 12. Julia Computing
  • 13. @JuliaComputing / @NYU-MSDSE-SWG
  • 14. The Chinese University of Hong Kong
  • 15. Sciences Po
  • 16. @invenia Labs

Description

DataFrames v0.22.6

Diff since v0.22.5

Closed issues:

  • Add a function for combine/vcat with source names (#659)
  • add map for AbstractDataFrame (#2053)
  • Clarify position on iteration API (#2254)
  • Make combine(gdf, args...) more flexible (#2260)
  • filter on an AbstractDataFrame should take in columns (#2323)
  • Speed-up groupby of integer columns (#2590)
  • select(df, ... => ByRow(split) => ... ) doesn't work as expected/documented (#2621)
  • select/combine/transform multiple columns to multiple columns with single row DataFrame fails (#2625)
  • Add more threading supoprt (#2626)
  • sizeof() of a data frame (#2628)
  • Should be possible to pass names to the matrix constructor (#2629)
  • select treats renamed columns as separate from the old named ones. (#2631)
  • combine(df, :col => [f1, f2,...]) (#2634)
  • filter a lot slower than dplyr (#2637)
  • Follow Julia 1.7 broadcasting rules (#2643)
  • add predicate/transformation version of unique? (#2651)
  • deprecate filter(:x => f, df) (#2654)
  • Remove unnecessary convert methods (#2666)

Merged pull requests:

  • add predicate support for names and more tests (#2417) (@bkamins)
  • Multithreaded custom grouped operations with single-row result (#2588) (@nalimilan)
  • Use refpool optimized method for integer grouping (#2610) (@nalimilan)
  • implement faster innerjoin (#2612) (@bkamins)
  • Fix missing mention of transform in manual (#2615) (@nalimilan)
  • fix docstring (#2617) (@bkamins)
  • left, right and outerjoin rewrite (#2622) (@bkamins)
  • Add faster semi and antijoin (#2641) (@bkamins)
  • fix split-apply-combine tests (#2644) (@bkamins)
  • fix broadcasting tests for Julia 1.7 (#2645) (@bkamins)
  • Fix CategoricalArrays.jl in Project.toml (#2646) (@bkamins)
  • use multithreading in basic operations (#2647) (@bkamins)
  • fix repeat and some other minor issues (#2648) (@bkamins)
  • add vcat with source; deprecate indicator in joins in favor of source (#2649) (@bkamins)
  • update describe, unique and nonunique docs (#2652) (@bkamins)
  • Respect copycols when building DataFrame from Tables.CopiedColumns (#2656) (@quinnj)
  • Normalize references to LINQ in docs (#2657) (@waldyrious)
  • Use multithreading in row_group_slots refarray method (#2661) (@nalimilan)
  • deprecate map on GroupedDataFrame (#2662) (@bkamins)
  • Support threading in joined column creation (#2664) (@bkamins)
  • Fix small typo in docs (#2670) (@eirikbrandsaas)
  • Deprecate unnecessary convert methods (#2671) (@bkamins)

Files

JuliaData/DataFrames.jl-v0.22.6.zip

Files (394.8 kB)

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Additional details

Related works

Is supplement to
https://github.com/JuliaData/DataFrames.jl/tree/v0.22.6 (URL)