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Release notes

DataFrames v0.6.11 Release Notes

Changes
  • New documentation based on Documenter ([#929])
  • Support new fit indicator functions for statistical models ([#921]).
  • Add string literals csv, csv2, wsv, and tsv ([#918])
  • Add a readtable argument for optional name normalization ([#896])

DataFrames v0.6.6 Release Notes

Deprecations
  • Deprecates array(df, ...) in favor of convert(Array, df, ...) ([#806])
  • Deprecates DataArray(df, T) in favor of convert(DataArray{T}, df) ([#806])

DataFrames v0.6.3 Release Notes

Deprecations
  • Removes save and loaddf, since the format was not compatible across Julia and DataFrames versions ([#790]). Use writetable or JLD to save DataFrames

DataFrames v0.6.1 Release Notes

New features
  • writetable supports append option ([#755])

Changes
  • Faster read_rda ([#754], [#759])

DataFrames v0.6.0 Release Notes

Focus on performance improvements and rooting out bugs in corner cases.

New features
  • Constructor for empty DataFrames allows specifying PDAs ([#725])
  • stack(df) and melt(df), which take FloatingPoint vars as measure vars ([#734])
  • New convenience methods for unstack ([#734])
  • convertdataframes option added to read_rda ([#751])

Changes
  • vcat(dfs) handles container and eltype promotion ([#747])
  • join finally handles DataFrames with no non-key columns ([#749])
  • sorting methods throw an error when args meant for cols are passed to by ([#749])
  • rename! and rename throw when column to be renamed does not exist ([#749])
  • names!, rename!, and rename for DataFrames now return DataFrames ([#749])

Deprecations
  • Deprecates by(df, cols, [symbol(s)]) in favor of aggregate(df, cols, [function(s)]) ([#726])
  • Removes pivottable in favor of other reshaping methods ([#734])
  • Deprecates nullable!(..., ::AbstractDataFrame) in favor of nullable!(::DataFrame, ...) ([#752])
  • Deprecates keys(df), values(df) ([#752])
  • Renames insert!(df, df) to merge!(df, dfs...) ([#752])

DataFrames v0.5.12 Release Notes

Track changes to JuliaLang/julia

DataFrames v0.5.11 Release Notes

Track changes to JuliaLang/julia

DataFrames v0.5.10 Release Notes

New features
  • Formulas handle three-way (and higher) interactions ([#700])

Changes
  • Now using ReadTheDocs for documentation

DataFrames v0.5.9 Release Notes

Track changes to JuliaLang/julia

DataFrames v0.5.8 Release Notes

New features
  • Extends StatsBase.predict to take a DataFrame as a predictor ([#679])
  • coefnames handles random-effect terms ([#662])

Deprecations
  • Deprecates DataFrame(::Dict, ...) in favor of convert ([#626])

DataFrames v0.5.7 Release Notes

New features
  • deleterows!(df::DataFrame, inds) ([#635])

Changes
  • empty!(::DataFrame) and insert!(::DataFrame, ...) now operate in place ([#634])
  • All exported higher-order functions now handle do-block syntax ([#643])

DataFrames v0.5.6 Release Notes

Track changes to JuliaLang/julia

DataFrames v0.5.5 Release Notes

New features
  • Support fitting arbitrary StatisticalModels ([#571])
  • Test coverage now tracked via Coveralls.io ([#597])

Changes
  • show(::AbstractDataFrame) now shows all columns by default

Deprecations
  • Deprecates DataFrame(::Any...), DataFrame(::Associative) ([#610])

DataFrames v0.5.4 Release Notes

New features
  • push! methods add a row to a DataFrame ([#621])
  • Test coverage now tracked via Coveralls.io ([#597])

Changes
  • IO functions ensure column names are valid symbols ([#563])
  • setindex! methods now return the updated DataFrame

Deprecations
  • Deprecates DataFrame(::Int, ::Int) ([#561])

DataFrames v0.5.3 Release Notes

Internal changes to adjust to [JuliaLang/julia#5897]

DataFrames v0.5.2 Release Notes

Continues trend of stripping down features and improving core functionality.

New features
  • append!(::AbstractDataFrame, ::AbstractDataFrame) ([#506])
  • join supports :semi-, :anti- and :cross-joins ([#524], [#536])
  • Implement eltypes argument in readtable ([#497])
  • Read from generic IO objects ([#499])

Changes
  • Convert to using only symbols (no more strings) for column names ([#509])
  • Renames stack_df, melt_df, pivot_table to stackdf, meltdf, pivottable ([#538])
  • Renames duplicated, drop_duplicates! to nonunique, unique! ([#538])
  • Renames load_df to loaddf ([#538])
  • Renames types to eltypes ([#539])
  • Renames readtable argument colnames to names ([#497])

Deprecations
  • Removes expression-based indexing, including with, within!, based_on, etc. ([#492])
  • Removes DataStream ([#492])
  • Removes NamedArray ([#492])
  • Removes column groupings (set_groups, get_groups, etc.) ([#492])
  • Removes specific colwise and rowwise functions (rowsums, colnorms, etc.) ([#492])
  • Removes @DataFrame and @transform ([#492])
  • Deprecates natural joins: the key must be specified now ([#536])

DataFrames v0.5.1 Release Notes

Removing prototype features until core functionality is farther along.

Changes
  • Write Formulas without quoting, thanks to the @~ macro ([JuliaLang/julia#4882])
  • Renames EachCol, EachRow to eachcol, eachrow ([#474])
  • eachrow returns a DataFrameRow ([#474])
  • SubDataFrames are now immutable ([#474])

Deprecations
  • Removes IndexedVector ([#483])
  • Removes Blocks.jl functionality ([#483])
  • Removes methods that treat DataFrame like a matrix, e.g round, sin ([#484])
  • Deprecates sub's alias subset ([#474])

DataFrames v0.5.0 Release Notes

Improved I/O and more-Julian idioms.

New features
  • Write HTML tables via writemime ([#433])
  • Read whitespace-delimited input ([#443])
  • Read input with C-style escapes ([#454])

Changes
  • sort interface updated to better match mainline Julia ([#389])
  • names!, rename!, and delete! now return the updated Index, rather than the names in the Index ([#445])
  • Renames coltypes, colnames, clean_colnames! to types, names, cleannames! ([#469])
  • Various improvements to print/show methods

Deprecations
  • Deprecates rbind, cbind and vecbind deprecated in favor of hcat and vcat ([#453])

[#389]: https://github.com/JuliaStats/DataFrames.jl/issues/389 [#433]: https://github.com/JuliaStats/DataFrames.jl/issues/433 [#443]: https://github.com/JuliaStats/DataFrames.jl/issues/443 [#445]: https://github.com/JuliaStats/DataFrames.jl/issues/445 [#453]: https://github.com/JuliaStats/DataFrames.jl/issues/453 [#454]: https://github.com/JuliaStats/DataFrames.jl/issues/454 [#469]: https://github.com/JuliaStats/DataFrames.jl/issues/469 [#474]: https://github.com/JuliaStats/DataFrames.jl/issues/474 [#483]: https://github.com/JuliaStats/DataFrames.jl/issues/483 [#484]: https://github.com/JuliaStats/DataFrames.jl/issues/484 [#492]: https://github.com/JuliaStats/DataFrames.jl/issues/492 [#497]: https://github.com/JuliaStats/DataFrames.jl/issues/497 [#499]: https://github.com/JuliaStats/DataFrames.jl/issues/499 [#506]: https://github.com/JuliaStats/DataFrames.jl/issues/506 [#509]: https://github.com/JuliaStats/DataFrames.jl/issues/509 [#524]: https://github.com/JuliaStats/DataFrames.jl/issues/524 [#536]: https://github.com/JuliaStats/DataFrames.jl/issues/536 [#538]: https://github.com/JuliaStats/DataFrames.jl/issues/538 [#539]: https://github.com/JuliaStats/DataFrames.jl/issues/539 [#561]: https://github.com/JuliaStats/DataFrames.jl/issues/561 [#563]: https://github.com/JuliaStats/DataFrames.jl/issues/563 [#571]: https://github.com/JuliaStats/DataFrames.jl/issues/571 [#597]: https://github.com/JuliaStats/DataFrames.jl/issues/597 [#610]: https://github.com/JuliaStats/DataFrames.jl/issues/610 [#621]: https://github.com/JuliaStats/DataFrames.jl/issues/621 [#626]: https://github.com/JuliaStats/DataFrames.jl/issues/626 [#634]: https://github.com/JuliaStats/DataFrames.jl/issues/634 [#635]: https://github.com/JuliaStats/DataFrames.jl/issues/635 [#643]: https://github.com/JuliaStats/DataFrames.jl/issues/643 [#662]: https://github.com/JuliaStats/DataFrames.jl/issues/662 [#679]: https://github.com/JuliaStats/DataFrames.jl/issues/679 [#700]: https://github.com/JuliaStats/DataFrames.jl/issues/700 [#725]: https://github.com/JuliaStats/DataFrames.jl/issues/725 [#726]: https://github.com/JuliaStats/DataFrames.jl/issues/726 [#734]: https://github.com/JuliaStats/DataFrames.jl/issues/734 [#747]: https://github.com/JuliaStats/DataFrames.jl/issues/747 [#749]: https://github.com/JuliaStats/DataFrames.jl/issues/749 [#751]: https://github.com/JuliaStats/DataFrames.jl/issues/751 [#752]: https://github.com/JuliaStats/DataFrames.jl/issues/752 [#754]: https://github.com/JuliaStats/DataFrames.jl/issues/754 [#755]: https://github.com/JuliaStats/DataFrames.jl/issues/755 [#759]: https://github.com/JuliaStats/DataFrames.jl/issues/759 [#790]: https://github.com/JuliaStats/DataFrames.jl/issues/790 [#806]: https://github.com/JuliaStats/DataFrames.jl/issues/806

[JuliaLang/julia#4882]: https://github.com/JuliaLang/julia/issues/4882 [JuliaLang/julia#5897]: https://github.com/JuliaLang/julia/issues/5897