JuliaData/DataFrames.jl: v1.5.0

Diff since v1.4.4

Closed issues:

• New contents about handing missing values in DataFrame (#1662)
• Functions taking collections of column names always require them to be in AbstractVectors (#1769)
• Stack/Melt over multiple sets of variables (#1839)
• Allow unstack to take multiple columns to unstack on (#2148)
• Feature request: unstack multiple :values columns (#2215)
• Add all keyword argument to nonunique (#2238)
• special case percentage in combine (#2272)
• Add a pushfirst! method (#2275)
• add filter example to docs on taking subsets (#2318)
• Some code blocks missing syntax highlighting in docs (#2319)
• Stacking multiple groups of columns (#2414)
• Add more keyword arguments to stack and unstack (#2422)
• Add reverse and reverse! functions similar to sort and sort! (#2438)
• Allow keeping first or last observation with unique function (#2443)
• Add insert! (#2446)
• Improve inline documentation of select to include examples of multiple columns not to be included (#2513)
• Transposing DataFrame (#2743)
• add a keyword to allow specifying target row order in joins (#2753)
• Improve flatten (slightly breaking) (#2767)
• Add manual part for indexing and selection (#2887)
• a new method of the flatten function in DataFrames (#2890)
• Generalization of the value parameter in the unstack function (#3066)
• resolve circular reference issue when printing (#3148)
• Support allunique with column selectors? (#3205)
• Add support for Tables.AbstractRow to functions that take row (#3244)
• Stack Overflow during type inference with large dataframes (#3246)
• innerjoin fast path where join column is allequal? (#3247)
• Invalidations when loading CSV (#3248)
• Improve groupby sort (#3251)
• improve performance of dropmissing (#3254)
• Let DataFrame behave more like GroupedDataFrame with one zero-key group (#3257)
• Lifecycle annotations (#3259)
• String display quotation missing (#3261)
• Bool columns are printed as 0/1 in HTML, but not in plain (#3265)
• sum doesn't work with Missing column (#3267)
• Views of DataFrame design issue (#3272)
• Multi-threading hangs combine on Julia nightly (#3275)
• Check CompatHelper setup (#3278)
• Add get function for AbstractDataFrame (#3281)
• Rename Iterators.partition (#3284)

Merged pull requests:

• add Iterators.partition (#3212) (@bkamins)
• add an option to intersect arguments passed to Cols (#3224) (@bkamins)
• Add allunique and improve nonunique and describe (#3232) (@bkamins)
• Add an option in joins to specify row order (#3233) (@bkamins)
• Improve examples in the manual in basics.md (#3236) (@bkamins)
• Add hints to use macro packages for new users (#3238) (@bkamins)
• improve error message when used selector is incorrect (#3242) (@bkamins)
• add support for Tables.AbstractRow in push!, pushfirst!, and insert! (#3245) (@bkamins)
• fix deleteat! and subset! performance (#3249) (@bkamins)
• Fix typo in documentation (#3250) (@bkamins)
• Mention ReadStatTables.jl in documentation (#3252) (@junyuan-chen)
• Add sorting options to groupby (#3253) (@bkamins)
• Improve performance of dropmissing (#3256) (@svilupp)
• add keep to nonunique, unique, and unique! (#3260) (@bkamins)
• document breaking change policy (#3262) (@bkamins)
• improve error message in operation specification syntax (#3263) (@bkamins)
• Fix bug in subset[!] when handling no conditions case (#3264) (@bkamins)
• Fix error in fast aggregation of missing only columns for sum and mean (#3268) (@bkamins)
• add information about TableMetadaTools.jl to docs (#3269) (@bkamins)
• Update TagBot.yml (#3271) (@bkamins)
• correctly index into a SubDataFrame with no columns (#3273) (@bkamins)
• Reduce size of multi-threading enablement to 100_000 (#3274) (@bkamins)
• Improve allcombinations docstring + minor cleanups after #3256 (#3276) (@bkamins)
• Allow to pass multiple predicates in Cols and mix them with other selectors (#3279) (@bkamins)
• update CompatHelper.jl setup (#3280) (@bkamins)
• add haskey and get support for DataFrameColumns (#3282) (@bkamins)
• Add scalar keyword argument to flatten (#3283) (@bkamins)
• improve precompilation coverage (#3285) (@bkamins)