Skip to content

Latest commit

 

History

History
82 lines (60 loc) · 6.46 KB

NEWS.md

File metadata and controls

82 lines (60 loc) · 6.46 KB
Raw

DataFramesMeta v0.15.2 Release notes

  • Bumped the Chain.jl compat entry in the Project.toml (#382)

DataFramesMeta v0.15.1 Release notes

  • Deleted an errant print statement introduced in #382 (#389)

DataFramesMeta v0.15.0 Release notes

  • Fixed macro hygiene issues (#384)
  • Fixed a bug with broadcasting in @astable (#382)
  • Added @note! and @label!, along with printlabels and printnotes to make working with metadata easier. (#377)
  • Added support for Not, All, and Cols in @select, making it easier to keep or drop many columns at once. (#372)
  • Added the @groupby macro, which provides an easier syntax for grouping data frames (#373)

DataFramesMeta v0.14.1 Release notes

  • Fixed a bug where ByRow was not properly identified if DataFramesMeta.jl was imported (#366)

DataFramesMeta v0.14.0 Release notes

  • Add the @rename macro for renaming columns in keyword argument-like syntax. (#343)
  • Fix a bug relating to ^ for escaping symbols (#347)
  • Fix typos in documentation (#355)

DataFramesMeta v0.13.0 Release notes

  • Add the @distinct and @rdistinct macros, for getting unique observations of a data frame. (#340)
  • Fix a bug which created UndefVarErrors with broadcasted functions. (#346)
  • Fixed bad use of sortperm with correct use of ordinalrank from StatsBase.jl in tutorial (#338)
  • Minor documentation fixes (#345)

DataFramesMeta v0.12.0 Release notes

  • Add support for Chain.jl version 0.5, and remove support for Chain.jl 0.4. In Chain.jl 0.4, the command

    chain df begin 
    f(df)
    @aside x = 1
end

    creates a let scope and thus x is not visible outside the @chain block. In version 0.5, the above macro does not create a let scope, making x accessible outside the block. To restore 0.4 behavior, write @chain let .... Because this a breaking change of a dependency, we also release a version bump of DataFramesMeta.jl. (#332)

DataFramesMeta v0.11.0 Release notes

  • Allow AsTable on the RHS of transformations. This allows one to work with collections of columns programtically, such as taking the row-wise mean of many columns. (#307)
  • Expressions on the RHS of the form f ∘ g will now be passed directly to the underlying transform call without modification, reducing compilation latency. (#317)
  • Nested functions, of the form f(g(:x)) will be transformed to (f ∘ g)(:x), further reducing latency. (#319)
  • Improvements to documentation (#305, #314, #315, #318, #322, #326)

DataFramesMeta v0.10.0 Release notes

  • Add the @astable macro-flag to construct multiple inter-dependent columns at once. (#298).
  • As a result of #298, automatic AsTable expansion in non-keyword transformations in the first (and only) transformations in @by and @combine are no longer supported. Previously, such operations were allowed, but with a visible deprecation warning.

DataFramesMeta v0.9.1 Release notes

  • Fix a bug with @rtransform! and @rselect!, where the macros were not actually mutating the data frame. (#294)

DataFramesMeta v0.9.0 Release notes

  • Add @passmissing flag for skipping missing values in row-wise macros. (#272)
  • Add row-wise transformation macros @rtransform, @rselect, @rsubset, and @rorderby. (#267)
  • Add$ to escape columns rather than cols, which is now deprecated. (#285)
  • Fix a bug disallowing multiple arguments in function-like syntax for row-wise macros. (#281)
  • Documentation improvements (#277, #279, #284, #286)
  • Add a new dplyr-inspired tutorial (#279)

DataFramesMeta v0.6 Release Notes

  • The order of rows after a @transform(gd::GroupedDataFrame, args...) now matches the order of rows returned after DataFrames.transform(gd::GroupedDataFrame, args...).
  • @select now supports GroupedDataFrame with the same behavior as DataFrames.select(df::GroupedDataFrame, args...) ([#180])
  • @orderby(gd::GroupedDataFrame, args...) is now reserved and will error.
  • Restrictions are imposed on the types of column references allowed when using cols. Mixing integer column references with other types now errors. ([#183])
  • @where with a grouped data frame will now perform operations by group and filter rows in the parent AbstractDataFrame. The operation no longer filters groups. Returns a fresh DataFrame.
  • @based_on has been renamed to @combine
  • @byrow has been renamed to @eachrow