v0.22.1

DataFrames v0.22.1

Diff since v0.22.0

Closed issues:

• eltype width taken into accounet in display even if it is not shown (#2540)
• Final ellipsis appears on next row (#2544)
• clarify the interface for crossjoin when makeunique=true (#2545)
• Two small typos in docs (#2550)

Merged pull requests:

• Fix size of float columns without eltypes (#2542) (@ronisbr)
• Spaces after commas (#2546) (@kescobo)
• Optional args style (#2547) (@kescobo)
• Zero after decimal (#2548) (@kescobo)
• issue #2550 fix two small typos in docs (#2551) (@roualdes)
• Switch from travis to GitHub Actions for CI testing (#2552) (@quinnj)
• error when using one dimension for indexing (#2553) (@bkamins)
• Add link to CI status badge (#2555) (@nalimilan)

v0.22.0

DataFrames v0.22.0

Diff since v0.21.8

DataFrames v0.22 Release Notes

Breaking changes

• the rules for transformations passed to select/select!, transform/transform!,
  and combine have been made more flexible; in particular now it is allowed to
  return multiple columns from a transformation function
  (#2461 and
  #2481)
• CategoricalArrays.jl is no longer reexported: call using CategoricalArrays
  to use it #2404.
  In the same vein, the categorical and categorical! functions
  have been deprecated in favor of
  transform(df, cols .=> categorical .=> cols) and similar syntaxes
  #2394.
  stack now creates a PooledVector{String} variable column rather than
  a CategoricalVector{String} column by default;
  pass variable_eltype=CategoricalValue{String} to get the previous behavior
  (#2391)
• isless for DataFrameRows now checks column names
  (#2292)
• DataFrameColumns is now not a subtype of AbstractVector
  (#2291)
• nunique is not reported now by describe by default
  (#2339)
• stop reordering columns of the parent in transform and transform!;
  always generate columns that were specified to be computed even for
  GroupedDataFrame with zero rows
  (#2324)
• improve the rule for automatically generated column names in
  combine/select(!)/transform(!) with composed functions
  (#2274)
• :nmissing in describe now produces 0 if the column does not allow
  missing values; earlier nothing was produced in this case
  (#2360)
• fast aggregation functions in for GroupedDataFrame now correctly
  choose the fast path only when it is safe; this resolves inconsistencies
  with what the same functions not using fast path produce
  (#2357)
• joins now return PooledVector not CategoricalVector in indicator column
  (#2505)
• GroupKeys now supports in for GroupKey, Tuple, NamedTuple and dictionaries
  (2392)
• in describe the specification of custom aggregation is now function => name;
  old name => function order is now deprecated
  (#2401)
• in joins passing NaN or real or imaginary -0.0 in on column now throws an
  error; passing missing thows an error unless matchmissing=:equal keyword argument
  is passed (#2504)
• unstack now produces row and column keys in the order of their first appearance
  and has two new keyword arguments allowmissing and allowduplicates
  (#2494)
• PrettyTables.jl is now the
  default back-end to print DataFrames to text/plain; the print option
  splitcols was removed and the output format was changed
  (#2429)

New functionalities

• add filter to GroupedDataFrame (#2279)
• add empty and empty! function for DataFrame that remove all rows from it,
  but keep columns (#2262)
• make indicator keyword argument in joins allow passing a string
  (#2284,
  #2296)
• add new functions to GroupKey API to make it more consistent with DataFrameRow
  (#2308)
• allow column renaming in joins
  (#2313 and
  (#2398)
• add rownumber to DataFrameRow (#2356)
• allow passing column name to specify the position where a new columns should be
  inserted in insertcols! (#2365)
• allow GroupedDataFrames to be indexed using a dictionary, which can use Symbol or string keys and
  are not dependent on the order of keys. (#2281)
• add isapprox method to check for approximate equality between two dataframes
  (#2373)
• add columnindex for DataFrameRow
  (#2380)
• names now accepts Type as a column selector
  (#2400)
• select, select!, transform, transform! and combine now allow renamecols
  keyword argument that makes it possible to avoid adding transformation function name
  as a suffix in automatically generated column names
  (#2397)
• filter, sort, dropmissing, and unique now support a view keyword argument
  which if set to true makes them retun a SubDataFrame view into the passed
  data frame.
• add only method for AbstractDataFrame (#2449)
• passing empty sets of columns in filter/filter! and in select/transform/combine
  with ByRow is now accepted (#2476)
• add permutedims method for AbstractDataFrame (#2447)
• add support for Cols from DataAPI.jl (#2495)

Deprecated

• DataFrame! is now deprecated (#2338)
• several in-standard DataFrame constructors are now deprecated
  (#2464)
• all old deprecations now throw an error
  (#2350)

Dependency changes

• Tables.jl version 1.2 is now required.
• DataAPI.jl version 1.4 is now required. It implies that All(args...) is
  deprecated and Cols(args...) is recommended instead. All() is still supported.

Other relevant changes

• Documentation is now available also in Dark mode
  (#2315)
• add rich display support for Markdown cell entries in HTML and LaTeX
  (#2346)
• limit the maximal display width the output can use in text/plain before
  being truncated (in the textwidth sense, excluding …) to 32 per column
  by default and fix a corner case when no columns are printed in situations when
  they are too wide (#2403)
• Common methods are now precompiled to improve responsiveness the first time a method
  is called in a Julia session. Precompilation takes up to 30 seconds
  after installing the package
  (#2456).

Closed issues:

• Allow to hide row numbers (#592)
• Stop printing row numbers in show(io, df)? (#864)
• Show a (kind of) transposed DataFrame (#2065)
• Improve text/plain show for AbstractDataFrame (#2146)
• Showing of very wide data frames (#2302)
• Add PrettyTables.jl as an alternative backend for display in DataFrames.jl (#2337)
• add transpose(df, src_namescol, dst_namescol) (#2420)
• Deprecate DataFrame(::AbstractMatrix) (#2433)
• Always use ? for Union{T, Missing} (#2480)
• Stop supporting broadcasting + against whole DataFrames (#2483)
• clean-up unstack (#2485)
• Join on index with compatible Unitful types (#2486)
• ERROR: UndefVarError: ByRow not defined (#2493)
• Explicitly handling missingness in join columns (#2499)
• sort with by accepts tuples still (#2500)
• innerjoin not working if one df is a SubDataFrame or item of GroupedDataFrame (#2502)
• remaining dependencies on CategoricalArrays (#2506)
• Immutable DataFrames (#2507)
• general principles of data manipulation for dicussion (#2509)
• create maprow to be complementary with mapcol (#2510)
• insertcols!(df, values => :name ) (#2512)
• [Feature request] Support for converting single-column dataframes to Vectors (#2526)
• Sync tests with Tables 1.2 (#2529)
• select does not have method to handle Pair? (#2531)
• Warning: getindex(df::DataFrame, col_ind::ColumnIndex) is deprecated (#2532)
• ERROR: The following package names could not be resolved: (#2534)

Merged pull requests:

• remove dependency on CategoricalArrays.jl in legacy show (#2427) (@bkamins)
• [BREAKING] Add PrettyTables.jl backend for printing DataFrames (#2429) (@ronisbr)
• Implement permutedims (#2447) (@kescobo)
• Enable precompilation (#2456) (@nalimilan)
• [BREAKING] deprecate DataFrame constructors (#2464) (@bkamins)
• [BREAKING] Multicolumn transformations for GoupedDataFrame (#2481) (@bkamins)
• [BREAKING] Refactor unstack (#2494) (@bkamins)
• add Cols support (#2495) (@bkamins)
• avoid allocation when negating BitArray (#2497) (@OkonSamuel)
• make sure by isa Function or a vector of functions (#2501) (@bkamins)
• Remove type parameters in DataFrameJoiner (#2503) (@bkamins)
• [BREAKING] add matchmissing kwa...

v0.21.8

DataFrames v0.21.8

Fix a bug in select/select!/transform/transform! in case when a GroupedDataFrame containing reordered groups is processed.

v0.21.7

DataFrames v0.21.7

Merged pull requests:

• Update README.md with JuliaAcademy reference (#2294) (@logankilpatrick)
• Don't match on AbstractVector type parameter due to compiler crash (#2383) (@quinnj)

v0.21.6

DataFrames v0.21.6

Diff since v0.21.5

Merged pull requests:

• make colnames type stable in broadcasting (#2331) (@bkamins)
• Don't specialize groupreduce! on result array element type (#2335) (@quinnj)
• Add check if input is a table before trying alternative constructors (#2341) (@quinnj)
• Update outdated documentation (#2343) (@bkamins)
• Change Travis from Julia 1.4 to 1.5 (#2345) (@bkamins)
• Update dataframerow.jl (#2353) (@tbeason)

v0.21.5

DataFrames v0.21.5

Diff since v0.21.4

Closed issues:

• How to save dataframe to CSV file (#2312)
• Single row manipulation leads to wrong results (#2332)

Merged pull requests:

• Up Documenter.jl (#2315) (@bkamins)
• fix deprecated example in the docs for innerjoin (#2320) (@bkamins)
• fix DataFrameRow setindex! (#2333) (@bkamins)

v0.21.4

DataFrames v0.21.4

Diff since v0.21.3

Closed issues:

• findfirst/findlast/nextind/prevind not working for eachcol in v0.21.0 (#2229)
• What happened to by()? (#2306)
• Error in showing DataFrame with Distribution column (#2310)

Merged pull requests:

• move lock inside if clause (#2303) (@bkamins)
• update DataFrameRow documentation (#2307) (@bkamins)
• fix show of UnionAll (#2311) (@bkamins)

v0.21.3

DataFrames v0.21.3

Diff since v0.21.2

Closed issues:

• When join(..., validate=(true,true)) fails, it should include a list of non-unique joinkeyrows in the error) (#1732)
• Unify error messages for setting index of subdataframe (#2277)
• indicator column in joins should allow Strings (#2283)
• no method matching iterate(::InvertedIndex{BitArray{1}}), trying to any() a BitArray (#2285)
• Fatal error: ERROR: UndefVarError: identifier not defined (#2286)
• show all columns at HTML in Jupyter notebook (#2293)
• unable to touch doc website (#2295)
• select/transform: old_column => fun => new_column_name syntax (#2301)

Merged pull requests:

• Add .editorconfig and comment on GitHub Actions (#2163) (@jonas-schulze)
• Fix various bugs in split/apply/combine in 0.21 release (#2280) (@bkamins)
• improve error message when validating (#2282) (@bkamins)
• let indicator allow strings (#2284) (@pdeffebach)
• add eltypes to show docstring (#2288) (@bkamins)
• add handling to cases when all is not optimized out (#2290) (@bkamins)
• improve handling of indicator in joins (#2296) (@bkamins)
• fixes to follow breaking changes in printing in 1.6 (#2299) (@bkamins)

v0.21.2

DataFrames v0.21.2

Diff since v0.21.1

Closed issues:

• diag(::DataFrame)? (#2268)

Merged pull requests:

• Fix position of backticks in disallowmissing docstring (#2270) (@nalimilan)
• fix bugs in append! and push! corner cases (#2273) (@bkamins)

v0.21.1

DataFrames v0.21.1

Diff since v0.21.0

Closed issues:

• Standardizing working with multiple columns (#2016)
• In docs, note subsets are copies (unless of columns)? (#2224)
• first/last/etc. documentation problem (#2232)
• Make DataFrame's BoundsError message more informative and similar to that of Base.Matrix (#2234)
• Problems in groupreduce_init (#2241)
• Tables.columns should return a DataFrameColumns object (#2244)
• map on DataFrameColumns should return DataFrameColumns (#2245)
• rename(uppercase, df) doesn't work anymore (#2252)
• update docs at pkg.julialang.org (#2255)
• allow [:a,:b,:c,:d] => fun => new_column_name syntax (#2256)
• ENV["COLUMNS"] not working as expected in Jupyter Lab (#2266)

Merged pull requests:

• add note on views / copies in getting started -- #2224 (#2226) (@nickeubank)
• Fix several references in documentation (#2231) (@dmolina)
• Fix docstring references in the manual (#2233) (@mortenpi)
• better deprecations of by and map (#2249) (@bkamins)
• fix bug in reduceinit (#2263) (@bkamins)