New version: DataFrames v0.22.0

[JuliaRegistrator]

• Registering package: DataFrames
• Repository: https://github.com/JuliaData/DataFrames.jl
• Created by: @bkamins
• Version: v0.22.0
• Commit: ff9577ecb551a33c521a934a6b88a10bb2949e77
• Git reference: master
• Release notes:

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 New version: PlotAxes v0.2.4 #2404.
  In the same vein, the categorical and categorical! functions
  have been deprecated in favor of
  transform(df, cols .=> categorical .=> cols) and similar syntaxes
  New version: ArbNumerics v0.6.4 #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).

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