DataFrames - v1.1.1

DataFrames v1.1.1

Diff since v1.1.0

Closed issues: - DataFrames with many columns are too slow (because of show()) (#2739) - Unable to install DataFrames: error regarding ComposedFunction (#2748)

Merged pull requests: - Optimize completecases to process only missingable columns (#2726) (@pstorozenko) - fix performance issue in multirow split-apply-combine (#2749) (@bkamins) - use dict to cache eltype names (#2750) (@bkamins)

- Julia
Published by github-actions[bot] about 5 years ago

DataFrames - v1.1.0

DataFrames v1.1.0

Diff since v1.0.2

Merged pull requests: - require AbstractVector from subset selectors (#2744) (@bkamins)

- Julia
Published by github-actions[bot] about 5 years ago

DataFrames - v1.0.2

DataFrames v1.0.2

Diff since v1.0.1

Closed issues: - requesting new feature which covers stack, unstack and permutedims in a simpler way (at least conceptually) (#2732) - Significant regression of groupby when threading (#2735) - DataFrames with many columns are too slow (because of show()) (#2739) - .==(0) (#2741)

Merged pull requests: - Fix typo in depwarn (#2734) (@bkamins) - fix rowgroupslots_threading (#2736) (@bkamins) - Redirect https://dataframes.juliadata.org/ to https://dataframes.juliadata.org/stable/ (#2742) (@fredrikekre)

- Julia
Published by github-actions[bot] about 5 years ago

DataFrames - v1.0.1

DataFrames v1.0.1

Diff since v1.0.0

Closed issues: - describe fails on a categorical array column from RDatasets dataframe (#2672)

Merged pull requests: - fix PooledArray performance bottleneck (#2733) (@bkamins)

- Julia
Published by github-actions[bot] about 5 years ago

DataFrames - v1.0.0

DataFrames v1.0.0

Diff since v0.22.7

Merged PRs since 0.22.0 release

API enchancements:

• error when using one dimension for indexing (#2553)
• Implement firstindex, lastindex, axes, size, and ndims consistently (#2584)
• Add subset (#2496)
• add predicate support for names and more tests (#2417)
• add vcat with source; deprecate indicator in joins in favor of source (#2649)
• check for data frame corruption in delete! (#2690)
• make Tables.columns(df) return eachcol(df) (#2680)
• add ==, isequal <, and isless for DataFrameRow and GroupKey (#2669)
• add support for getproperty broadcasting (#2655)
• clean up outstanding convert (#2675)
• deprecate map on GroupedDataFrame (#2662)
• Deprecate unnecessary convert methods (#2671)

Bug fixes:

• Fix size of float columns without eltypes (#2542)
• fix display problem with Turing.jl (#2583)
• Fix groupreduce with var and std for Unitful types (#2601)
• add firstindex check and fix a bug in mapcols! (#2594)
• fix repeat and some other minor issues (#2648)
• make renaming perform copy in transform and transform! (#2721)
• check if column order is correct in aggregations (#2682)

Performance and compilation latency:

• Improve inference in vcat (#2559)
• Avoid performance bottleneck corner case in grouping (#2592)
• Enable multithreading with several operations in combine/select/transform (#2574)
• Use refpool optimized method for integer grouping (#2610)
• Multithreaded custom grouped operations with single-row result (#2588)
• implement faster innerjoin (#2612)
• left, right and outerjoin rewrite (#2622)
• Add faster semi and antijoin (#2641)
• use multithreading in basic operations (#2647)
• additional precompilation for all=true (#2719)
• update precompilation statements (#2718)
• Despecialization part 2 (#2709)
• Replace tforeach with @spawn_for_chunks (#2716)
• Use fast path for single column aggs (#2687)
• Enable multithreading in hashrows_col! (#2685)
• do not use collect in describe (#2694)
• Fix grouping aggregation slowdown (#2708)
• Inference improvements (#2691)
• Support threading in joined column creation (#2664)
• Use multithreading in rowgroupslots refarray method (#2661)

Documentation and maintenance:

• Zero after decimal (#2548)
• Optional args style (#2547)
• Spaces after commas (#2546)
• fix two small typos in docs (#2551)
• Switch from travis to GitHub Actions for CI testing (#2552)
• Add link to CI status badge #2555
• add links to curated DataFrames.jl materials (#2557)
• additional tests to improve coverage (#2560)
• remove deprecations and CategoricalArrays.jl dependency (#2554)
• Update DataFramesMeta.jl manual entry (#2561)
• Make GroupedDataFrame show tests more robust to context (#2571)
• Fix Markdown in test (#2572)
• Add Apache Arrow reference in the manual (#2575)
• Update ci.yml from master to main (#2585)
• Add tests for column selection and renaming for GroupedDataFrame (#2586)
• bump compat for "Reexport" to "1.0" (#2587)
• Mention number of groups in performance note (#2578)
• Update deploydocs (#2599)
• Fix DataFrame(Any[]) test (#2609)
• Use PrettyTables.jl's alignment anchor for numbers (#2608)
• Support new PooledArrays 1.0 release (#2614)
• Fix missing mention of transform in manual (#2615)
• fix docstring (#2617)
• Fix CategoricalArrays.jl in Project.toml (#2646)
• fix split-apply-combine tests (#2644)
• fix broadcasting tests (#2645)
• Respect copycols when building DataFrame from Tables.CopiedColumns (#2656)
• update describe, unique and nonunique docs (#2652)
• Normalize references to LINQ in docs (#2657)
• improve new contributors guide (#2723)
• Bk/clean exports (#2720)
• Improve structure of join benchmarks (#2707)
• Update PrettyTables to v0.12 (#2715)
• Fix default copycols for Tables.jl constructor (#2710)
• Update composer.jl (#2711)
• Enable doctests (#2703)
• promoted documentation on working with DataFrames (#2700)
• Fix typo in unstack docstring (#2701)
• 0.22.7 release notes (#2695)
• remove test memory consumption (#2686)
• remove deprecations for 1.0 release (#2679)
• Update CONTRIBUTING.md (#2684)
• Omit vertical lines with showrownumbers = false (#2674)
• Fix small typo in docs (#2670)
• Prepare for 1.0 release (#2729)

Merged PR contributors:

@cjalmeida, @EarthGoddessDude, @eirikbrandsaas, @kescobo, @nalimilan, @pdeffebach, @quinnj, @RohitRathore1, @ronisbr, @sa-, @timholy, @waldyrious

- Julia
Published by github-actions[bot] about 5 years ago

DataFrames - v0.22.7

DataFrames v0.22.7

Diff since v0.22.6

• Respect copycols when building DataFrame from Tables.CopiedColumns #2656

- Julia
Published by github-actions[bot] about 5 years ago

DataFrames - v0.22.6

DataFrames v0.22.6

Diff since v0.22.5

Merged pull requests:

• deprecate map on GroupedDataFrame (#2662) (@bkamins)
• Deprecate unnecessary convert methods (#2671) (@bkamins)

- Julia
Published by github-actions[bot] over 5 years ago

DataFrames - v0.22.5

DataFrames v0.22.5

Diff since v0.22.4

Merged pull requests: - Support new PooledArrays 1.0 release (#2614) (@quinnj)

- Julia
Published by github-actions[bot] over 5 years ago

DataFrames - v0.22.4

DataFrames v0.22.4

Diff since v0.22.3

Add support of PrettyTables 0.11

- Julia
Published by github-actions[bot] over 5 years ago

DataFrames - v0.22.3

DataFrames v0.22.3

Diff since v0.22.2

Merged pull requests:

• Fix groupreduce with var and std for Unitful types (#2601) (@nalimilan)

- Julia
Published by github-actions[bot] over 5 years ago

DataFrames - v0.22.2

DataFrames v0.22.2

Diff since v0.22.1

Closed issues: - Error when showing dataframe in terminal (#2582)

Merged pull requests: - fix display problem with Turing.jl (#2583) (@bkamins)

- Julia
Published by github-actions[bot] over 5 years ago

DataFrames - 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)

- Julia
Published by github-actions[bot] over 5 years ago

DataFrames - 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, srcnamescol, dstnamescol) (#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 kwarg to joins (#2504) (@bkamins) - [BREAKING] remove CategoricalArrays dependency from joins (#2505) (@bkamins) - fix deprecated tests in reshape (#2511) (@bkamins) - require DataAPI.jl version 1.4 (#2514) (@bkamins) - move All(args...) tests to deprecated.jl (#2515) (@bkamins) - make hashrows_col! not depend on CategoricalArrays.jl (#2518) (@bkamins) - avoid CategoricalArrays dependency in aggregates (#2519) (@bkamins) - Switch from Coveralls to Codecov (#2520) (@nalimilan) - Allow CategoricalArrays 0.9 (#2521) (@nalimilan) - update manual and docstrings to PrettyTables.jl (#2522) (@bkamins) - Update Categorical test (#2523) (@bkamins) - fix coverage badge (#2524) (@pdeffebach) - Update TagBot.yml (#2527) (@quinnj) - Update tests to Tables.jl v1.2 (#2530) (@bkamins) - Add StatsKit to the ecosystem section (#2535) (@nalimilan) - code layout improvements (#2536) (@bkamins) - Improve floating point alignment (#2537) (@ronisbr) - update deprecated tests (#2538) (@bkamins)

- Julia
Published by github-actions[bot] over 5 years ago

DataFrames - 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.

- Julia
Published by github-actions[bot] over 5 years ago

DataFrames - 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)

- Julia
Published by github-actions[bot] almost 6 years ago

DataFrames - 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)

- Julia
Published by github-actions[bot] almost 6 years ago

DataFrames - 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)

- Julia
Published by github-actions[bot] almost 6 years ago

DataFrames - 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)

- Julia
Published by github-actions[bot] almost 6 years ago

DataFrames - 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: oldcolumn => fun => newcolumn_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)

- Julia
Published by github-actions[bot] about 6 years ago

DataFrames - 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)

- Julia
Published by github-actions[bot] about 6 years ago

DataFrames - 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 groupreduceinit (#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 => newcolumn_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)

- Julia
Published by github-actions[bot] about 6 years ago

DataFrames - v0.21.0

DataFrames v0.21.0

Diff since v0.20.2

Closed issues: - Output format of reshape functions (#645) - Grouping API consistency and improvements (#1256) - by with arrays of inputs and broadcasting (#1615) - Group Indices function (#1704) - push! which promotes type (#1716) - API for groupwise column transformation (#1727) - aggregate function: Add option to NOT re-name column (#1756) - Two regex-related items on a wish list (#1849) - How about DismensionMismatch rather than ArgumentError? (#1879) - Handling of strings for column indexing (#1926) - How to perform by on two variables? Should we auto-splat? (#1935) - Row-wise vs. whole vector functions (#1952) - API for aggregate (#1953) - Unify push!, append! and vcat implementation. (#2032) - Add an easy way to get a number of rows in by (#2035) - Column naming in combine (#2071) - Implicit broadcasting rules (#2086) - Add "begin" tests for Julia 1.4 (#2089) - redesign of eachcol (#2090) - Reconsider overloading Base.join? (#2092) - Using the public API should be safe (#2094) - Speed up key lookup in GroupedDataFrame (#2095) - Add Tables.namedtupleiterator implementation (#2100) - Decide if we want to copy levels of CategoricalValue if we do Tables.allocatecolumn (#2104) - Add transform function (#2110) - Should we export Tables (#2114) - Optionally remove type from heading (#2116) - Disallow passing zero columns to aggregate functions in combine/by (#2118) - DataFrame constructor from Dict (#2119) - Add a wrapper type for passing named tuples to functions when transforming (#2121) - Constructor behavior on nested array vs array of tuple (#2124) - Unexpected BoundsError message (#2125) - map(DataFrame, groups) does not return a collection of DataFrames (#2126) - Bad deprecation warning for df.C = "c" when C is a new column (#2129) - Data Manipulation - Map categorical value (#2130) - ERROR: BoundsError: attempt to access String (#2134) - Circular reference in DataFrame bug (#2135) - Groupby + count append 0 if not exists (#2136) - Fix bounds in registry (#2137) - Pandas like MultiIndex function (#2138) - ⍰ character in header output (#2139) - review consistency of @view semantics (#2143) - Precompilation error with latest release on julia v1.4-rc2 (#2149) - add missing columns when push! ing? (#2150) - Performance of allunique (#2153) - Redesign of combine (#2156) - Emulating Stata's rowtotal (#2161) - Automatically fill in select and combine for scalars? (#2162) - [BREAKING] Making combine more flexible (#2166) - Sync API of append! with push! (#2173) - Add a method to insert a column to last index (#2175) - sort and sort! API (#2178) - push! with cols=:subset is not allowed if there is no missing in previous data (#2179) - unrelated error message when trying to access 0 index (#2182) - Base.depwarn stopped printing warnings on Julia 1.5 (#2184) - New name for names and rename! (#2185) - Shall mapcols be deprecated? (#2186) - Why does categorical!(df::DataFrame, ...) exist? (#2192) - Extend categoric values by category data (#2198) - Tag a new release to reflect [compat] CategoricalArrays = "0.8" update (#2204) - Cleaner syntax (#2206) - by does not generate correct results (#2208) - possible test failure in upcoming Julia version 1.5 (#2221)

Merged pull requests: - List missing functions in AbstractDataFrame API (#2074) (@nalimilan) - Add transformation and renaming to select and select! (#2080) (@bkamins) - add Pair to filter and filter! (#2091) (@bkamins) - Special case of Ref and 0-dimensional AbstractArray in DataFrame and insertcols! (#2093) (@bkamins) - improve performance of Tables.rowtable (#2098) (@bkamins) - add inner/left/right/outer/semi/anti/cross-join (#2101) (@bkamins) - Consistent period printing on Julia 1.5-DEV (#2107) (@omus) - Add replacement examples to gettingstarted.md (#2108) (@anandijain) - add Tables.jl integration for eachrow and eachcol (#2113) (@bkamins) - Show friendly error when trying to iterate DataFrames (#2115) (@non-Jedi) - improve speed of Tables.namedtupleiterator (#2117) (@bkamins) - [BREAKING] deprecate names=true in eachcol (#2120) (@bkamins) - export Tables and imoprt DataAPI and Tables internally (#2122) (@bkamins) - [BREAKING] Change ArgumentError to DimensionMismatch (#2128) (@bkamins) - Flatten multiple columns at once (#2131) (@pearlzli) - use Dict{Any,Int} to speed up GroupDataFrame lookup (#2132) (@bkamins) - change ⍰ to ? when showing a DataFrame with missing eltype (#2140) (@bkamins) - add haskey to GroupedDataFrame and GroupKey (#2141) (@bkamins) - add displaycoltypes to showrows & show for dataframes (#2142) (@ssikdar1) - Make the Jupyter Notebook documentation more precise (#2144) (@bkamins) - [BREAKING] fix eltype in stack with view=true (#2145) (@bkamins) - [BREAKING] make idvars go first in stack (#2147) (@bkamins) - finalize adding eltypes to show (#2151) (@bkamins) - allow :union as cols kwarg in push! and append! (#2152) (@bkamins) - Fix typo (#2154) (@prosoitos) - add transform and transform! and select cleanup (#2155) (@bkamins) - Fix docstring (#2157) (@jonas-schulze) - [BREAKING] sync combine with select (#2158) (@bkamins) - update to Juia 1.4 (#2160) (@bkamins) - [BREAKING] allow pseudo-broadcasting in select (#2165) (@bkamins) - [BREAKING] add groupcols and valuecols functions (#2167) (@bkamins) - add nrow to select (#2168) (@bkamins) - [BREAKING] add to combine and by: column selection, pseudo broadcasting, fix bug with unequal column lengths (#2170) (@bkamins) - [BREAKING] Deprecate aggregate (#2174) (@bkamins) - fix deprecation in append (#2176) (@bkamins) - add cols to names (#2177) (@bkamins) - [BREAKING] Deprecate passing tuple of columns to sort (#2181) (@bkamins) - add AsTable wrapper, disallow NamedTuple in ByRow (#2183) (@bkamins) - Port to CategoricalArrays 0.8 (#2188) (@nalimilan) - [BREAKING] Rename deleterows! to delete! (#2189) (@nalimilan) - clean-up reshaping code (#2190) (@bkamins) - add Not to delete! (#2191) (@bkamins) - add mapcols! and repeat!, fix corner cases of repeat (#2195) (@bkamins) - dataframerow related docstrings (#2196) (@pdeffebach) - [BREAKING] Add column indexing using strings (#2199) (@bkamins) - [BREAKING] Circular ref bug show (#2200) (@bkamins) - Fix some typos (#2201) (@jonas-schulze) - Fix building documentation on Travis (#2202) (@nalimilan) - Fix exponent in docs (#2209) (@nalimilan) - Make ByRow subtype Function (#2212) (@oxinabox) - cleanup after string PR (#2213) (@bkamins) - [BREAKING] new design of select, transform and combine (#2214) (@bkamins) - Fix exponent in docs (#2216) (@nalimilan) - errant space confused juliadoc builder (#2222) (@nickeubank) - updates required for Julia 1.5 (#2223) (@bkamins) - up version to 0.21.0 (#2225) (@bkamins)

- Julia
Published by github-actions[bot] about 6 years ago

DataFrames - v0.20.2

v0.20.2 (2020-02-13)

Diff since v0.20.1

Closed issues:

• pkg\> add DataFrames Tables installs DataFrames v0.19.4 and Tables v1.0.0 (#2112)
• Sync with Tables.jl 1.0 release (#2109)

- Julia
Published by julia-tagbot[bot] over 6 years ago

DataFrames - v0.20.1

Add compatibility with Tables.jl v1.0.

- Julia
Published by julia-tagbot[bot] over 6 years ago

DataFrames - v0.20.0

v0.20.0 (2019-12-07)

Diff since v0.19.4

Closed issues:

• Make describe not accept io (#2024)
• Switch cols to kwarg from positional args (#2023)
• Problems sorting dataFrames imported from CSV (#2019)
• Allow rename!\(df, pair::Pair{String, String}\) as a signature (#2017)
• Add an argument allowing to select columns to calculate statistics on for describe (#2014)
• Add flatten function (#2012)
• describe should also apply to Vector (#2010)
• Add :equal support in append! (#2007)
• CSV.read cannot detect "Time" type string (#2005)
• When vcat dataframes, ordering of categorical variables is lost (#2002)
• Allow mix of Symbol and Pair in join (#2001)
• Documenting the difference betwen df[!, :col] and df[:, :col] (#1999)
• select!(df, Not(tuple)) does not work (#1997)
• using DataFrames in Jupiter lab and notebook hangs... (#1996)
• [package code fancyness] Redundant code snippet (#1993)
• Merge meanings of cols keyword arguments between push! and vcat (#1991)
• master still on v0.19.3, though release branch already on v0.19.4 (#1990)
• Bad performance of "by" function for random queries (#1988)
• Warning T is deprecated, use nonmissingtype instead (#1987)
• ERROR: ArgumentError: 'Array{UInt8,1}' iterates 'UInt8' values, which don't satisfy the Tables.jl Row-iterator interface (#1983)
• vcat! or push!(..., columns=:union) (#1982)
• Drop AppVeyor in favour of TravisCI (#1980)
• 32-bit BoundsError (#1978)
• allow by to receive keyword argument for custom output column name. (#1976)
• dropmissing! fails on PooledStrings (#1973)
• Fix tests to pass on Julia nightly (#1967)
• can't join more than two dataframes? (#1962)
• Issues using the df\[!, col\] syntax during broadcasts (#1959)
• API for functions that help reduce memory usage (#1954)
• NamedTuple backing or switchable? (#1949)
• Sorting error using examples from docs (#1945)
• merge names! intorename!` (#1943)
• Allow partial re-ordering for permutecols! (#1942)
• sort! performance (#1927)
• Add kwarg do disallowmissing that skips conversion of columns with missing values (#1922)
• Sync the behavior of push!, vcat and append! in DataFrames.jl with Base (#1904)
• How about raising ArgumentError rather than just calling error() in append!()? (#1869)
• How about raise ArgumentError rather than just calling error() in insertcols!()? (#1867)
• Improve select and select! performance with Not (#1861)
• Make getproperty\(df, col\) return a full length view of the column (#1844)
• Allow empty keys argument in by\(\) (#1837)
• Find a better API for stackdf and meltdf (#1736)
• DataFrames.jl roadmap (#1678)
• setindex!/broadcast! design (#1645)
• Update docstrings to new conventions (#1093)

Merged pull requests:

• Add upper bounds to versions in Project.toml (#2037) (nalimilan)
• Enable CompatHelper (#2036) (nalimilan)
• remove unnecessary line in DataFrame constructor (#2033) (bkamins)
• deprecate stackdf and meltdf (#2031) (bkamins)
• allow integer as from value in rename (#2030) (bkamins)
• Release 0.20.0 (#2028) (bkamins)
• deprecate io support in describe (#2027) (bkamins)
• change Julia from 1.2 do 1.3 on Travis CI (#2026) (bkamins)
• add Array convert for data frame and data frame row (#2025) (bkamins)
• make SubIndex strict about duplicates (#2022) (bkamins)
• Key in warning doesn't reflect the the right entry (#2021) (laborg)
• add cols to describe (#2020) (bkamins)
• allow strings in rename! (#2018) (bkamins)
• Add flatten function (#2013) (pdeffebach)
• update documentation of select (#2011) (bkamins)
• Update docstrings and removed unnecessary internal comments (#2009) (bkamins)
• add names documentation (#2008) (bkamins)
• allow mixing Symbol and Pair{Symbol,Symbol} in on for joining (#2006) (bkamins)
• change how copycols in Vector{<:NamedTuple} constructor (#2004) (bkamins)
• Documenting the difference betwen df[!, :col] and df[:, :col] (#2000) (aminya)
• fix a bug in select! (#1995) (bkamins)
• Add reference to DataFrames Tutorial in index.md (#1994) (dmolina)
• Avoid recompiling combine for each new NamedTuple or Tuple type (#1992) (nalimilan)
• deprecate names! (#1986) (bkamins)
• Rewrite select! to improve performance (#1985) (Ellipse0934)
• add travis on widows + x86 and remove AppVeyor (#1984) (bkamins)
• Fix handling of hash collisions in row_group_slots (#1979) (nalimilan)
• allow more flexible cols in groupby and in particular handle empty cols (#1977) (bkamins)
• Allow permutaion of names in rename! (#1974) (innerlee)
• clean up permutecols! and tests (#1972) (bkamins)
• Add InvertedIndex and in\(\) examples (#1971) (nilshg)
• wrap outstanding tests in data.jl in testset (#1970) (bkamins)
• update documentation of column selection (#1969) (bkamins)
• Fix documentation (#1966) (kojix2)
• allow passing multiple columns arguments to select and select! (#1964) (bkamins)
• allow joins for more than two data frames (#1963) (bkamins)
• allow to create columns using : as row selector (#1961) (bkamins)
• correctly use dotview instead of maybeview in broadcasting contexts (#1960) (bkamins)
• Add :setequal to cols kwarg in vcat, push! and append! (#1958) (bkamins)
• fix Vector for DataFrameRow eltype detection (#1957) (bkamins)
• add error to disallowmissing and disallowmissing! (#1956) (bkamins)
• disallow Base.Generator in setindex! to DataFrameRow (#1951) (bkamins)
• make sure mapcols does not reuse source vectors (#1950) (bkamins)
• fix documentation examples (#1946) (bkamins)
• Fix path to iris.csv (#1944) (nalimilan)
• Use nonmissingtype instead of Missings.T (#1941) (nalimilan)
• Deprecate eltypes (#1940) (nalimilan)
• add skipmissing to by (#1939) (bkamins)
• Stop using makeunique=true for grouping keys in combine (#1938) (nalimilan)
• Make push! more strict (#1937) (bkamins)
• Make sort and sort! type-stable to improve performance (#1934) (nalimilan)
• Cleanup tests (#1931) (bkamins)
• Add @ref links to groupby docstring (#1930) (asinghvi17)
• Get values of grouped columns (#1908) (jlumpe)
• target setindex implementation (#1899) (bkamins)
• Throw more specific error, ArgumentError, rather than a general Error() (#1872) (petershintech)

- Julia
Published by julia-tagbot[bot] over 6 years ago

DataFrames - v0.19.4

Make DataFrames.jl to depend on Missings.jl version 0.4.2. Stop using Missings.T internally and use nonmissingtype instead.

- Julia
Published by julia-tagbot[bot] almost 7 years ago

DataFrames - v0.19.3

• fixed a bug in deprecation code for when setindex! was passed a 1-row DataFrame as the right hand side (note though this syntax is not recommended to be used);
• DataFrameRows and DataFrameColumns now support getproperty and propertynames and have a custom printing that shows them similarly like data frames
• categorical and categorical! now accept Type as cols argument, so that the user can flexibly decide which columns are converted to categorical based on their type
• columnindex function from Tables.jl is now exported
• All and Between can now be used for indexing columns of a data frame
• passing a Tuple as a on keyword argument is deprecated (use Pair instead)
• minor documentation and build system improvements

- Julia
Published by julia-tagbot[bot] almost 7 years ago

DataFrames - v0.19.2

New features

• added disallowmissing, allowmissing and categorical functions
• unstack now accepts renamecols keyword argument

Minor changes

• documentation has been updated to reflect new indexing rules
• setindex! deprecation warnings were improved and now take into account new rules of broadcasting into 0-row data frames
• :eltype column in describe now contains a true element type of a data frame column (previously if the type was an union with Missing then the Missing part was stripped, which sometimes lead to user confusion)
• broadcasting over GroupedDataFrame is now disallowed (it was never intended to work; in the future this might be allowed, but the target design is not decided upon yet)
• append! now throws ArgumentError instead of ErrorException when column names of appended data frame does not match the target

Bug fixes

• fixed a typo in append! error message
• fixed a bug in categorical! function when a Colon as column selector was passed (the behavior was inconsistent with the documentation); now only categorical!(::DataFrame) changes columns whose eltype is <:Union{AbstractString, Missing} to categorical; any valid categorical!(::DataFrame, cols) call changes all columns selected by cols to categorical

- Julia
Published by nalimilan almost 7 years ago

DataFrames - v0.19.1

v0.19.1 (2019-07-25)

Changes summary

• correctly handle broadcasting into a single cell of a data frame; now df[row, col] .= v broadcasts into the object held in df[row, col] cell
• we now allow broadcasting into empty data frame (data frame df for which isempty(df) is true); in particular we allow column creation in empty DataFrame in which case we always create a 0-row vector;
• push! and append! now make sure that the result of the operation did not corrupt the data frame (which mostly happens when there are column aliasing issues) and throw an error if it happens (this introduces a small overhead but greatly reduces a number of possible bugs in user code)
• join, groupby and show-related functions now check if the data frames passed to them are consistent (have the same number of rows in each column and do not have corrupted index)
• improved loading time by replacing StatsBase.jl by DataAPI.jl dependency
• fixed documentation generation issues

Diff since v0.19.0

Closed issues:

• Explanation of the deprecation of df[col] and df[cols] (#1897)
• Basics docs are broken on master (#1891)
• Preventing problems with aliased columns (#1885)
• dropna (#1884)
• Release 0.19.0 (#1883)
• describe StatsBase vs DataAPI (#1882)
• Issue when converting Excelfile with missing data to DataFrame (#1878)
• select and deletecols for SubDataFrame and DataFrameRow (#1825)
• Surprising setindex/setproperty behaviour (#1815)
• Convience methods for getproperty and setproperty in DataFrames with new ownership rules (#1753)
• pairs outputs warnings (#1751)
• Add checks of DataFrame consistency before expensive operations (#1744)
• DataFrames should be indexable by CartesianIndex{2} (#1610)
• allow vcat to widen columns (#1574)
• Creating an empty DataFrame is unwieldy and has unexpected behavior (#1569)
• Make a DataFrame not iterable (#1513)
• broadcasted setindex not working as expected (#1507)
• Writing to latex: omitting column with row index (#1381)
• functional interface for deleting columns (#1378)
• Implement a from_records constructor (#1191)
• Markdown display (#1167)
• implement view(::DataFrame, ...) to support broadcasted assignment (#1019)
• JSON to dataframe input and output (#873)
• Implement Base.cor for DataFrame (#583)
• Remove nrow/ncol (#406)

Merged pull requests:

• Improve documentation generation (#1892) (bkamins)
• allow scalar broadcasting into an empty data frame (#1890) (bkamins)
• First proposal of consistency checks (#1887) (bkamins)
• Extend describe from DataAPI to allow removing StatsBase dependency (#1818) (quinnj)

- Julia
Published by julia-tagbot[bot] almost 7 years ago

DataFrames - v0.19.0

API changes:

• allow Regex indexing of columns
• allow Not from InvertedIndices.jl indexing of rows and columns
• add ! indexing of rows of AbstractDataFrame
• deprecate indexing with column or columns only (like df[:a] or df[1:2])
• define target rules for getindex, getproperty,setindex!, andsetproperty!forAbstractDataFrameandDataFrameRow` (in this release old behavior is deprecated; in the next release wit will get replaced by target functionality)
• add indexing using CartesianIndex{2} for AbstractDataFrame
• full support of broadcasting for AbstractDataFrame
• support for broadcasting assignment for DataFrameRow
• keys(::DataFrameRow) now returns a Tuple of column names
• added get and map methods for DataFrameRow
• categorical! now accepts columns that contain missing values
• get and haskey for AbstractDataFrame is deprecated now
• empty! for DataFrame is deprecated now
• add hasproperty for AbstractDataFrame

Fixes:

• improved showind DataFrameRow with zero columns
• fix combine with aggregation when skipmissing=true

Minor changes:

• improvements in error messages and types of thrown exceptions on error
• various documentation improvements
• improved getindex speed for vector of Bool indexing
• remove InteractiveUtils.jl dependency

- Julia
Published by julia-tagbot[bot] almost 7 years ago

DataFrames - v0.18.4

Changes since last release: - Fix combine with aggregation when skipmissing=true - Remove InteractiveUtils load

- Julia
Published by julia-tagbot[bot] almost 7 years ago

DataFrames - v0.18.3

Changes since last release: * improved DataFrame constructor to avoid allocations when it is not necessary * updated compat bounds * custom dump for AbstractDataFrame method is removed; use summary to get a brief description of a data frame instead * fixed errors in map on GroupedDataFrame in a situation when 0 rows are produced

- Julia
Published by julia-tagbot[bot] about 7 years ago

DataFrames - v0.18.2

This is a patch release. Changes:

• integration with Tables.jl is more flexible in accepting what is considered a table
• a bug when DataFrame was created with zero rows but some columns was fixed
• reduce(vcat, ...) now accepts cols argument and correctly handles data frames with zero columns
• improved documentation; major changes: added instructions for setting up the Jupyter notebook to work with DataFrames.jl and explained the policy what is considered a public API of DataFrames.jl

- Julia
Published by julia-tagbot[bot] about 7 years ago

DataFrames - v0.18.1

• DataFrame constructor now correctly handles corner cases of objects that follow Tables.jl interface (see https://github.com/JuliaData/DataFrames.jl/issues/1788 for an example problem that had to be fixed)
• DataFrame constructor for GroupedDataFrame and Vector{<:NamedTuple} now disallows passing copycols keyword argument

- Julia
Published by julia-tagbot[bot] about 7 years ago

DataFrames - v0.18.0

Breaking changes: * functions that create a new DataFrame copy passed columns by default; this can be overridden by copycols keyword argument or by using the DataFrame! function that does not copy passed columns * in eachcol now names keyword argument defaults to false * make dropmissing and dropmissing! disallow missing values in column by default * removed long deprecated uses of by, nullable!, keys, values, pool, pool!, complete_cases, complete_cases!, sub, rename!, rename and vcat * removed dependency on DataStreams.jl and WeakRefStrings.jl

Deprecations: * several DataFrame constructors not taking source data were deprecated * colwise is now deprecated

Enhancements: * add cols keyword argument to vcat, make it ignore data frames with no columns, and support efficient reduce * allow passing a data frame with no columns to append! * allow push! to a data frame with no columns and add cols keyword argument to it * improvements of showing data frames, grouped data frames and data frame rows for CSV, TSV, HTML and LaTeX MIME types * optimized grouping methods for PooledArrays * DataFrame constructor can now take tuples of column vectors and column names * added compress keyword argument to the categorical! function * describe now supports passing custom functions * make allowmissing! and disallowmissing! accept vector of Bool * add select, select! and deletecols functions

Bug fixes: * combine now has a better handling of combining incompatible return values

Miscellaneous: * started testing against Julia 1.1 and stopped against Julia 0.7 * migration to JuliaRegistrator * numerous documentation improvements * removed custom deepcopy implementation * removed dependency on CodecZlib,jl, TranscodingStreams.jl * improved error message when column is not found in a data frame

- Julia
Published by julia-tagbot[bot] about 7 years ago

DataFrames - Version 0.17.1

API changes

• add DataFrame constructor from GroupedDataFrame
• add groupvars and groupindices functions for GroupedDataFrame
• DataFrameRow(::AbstractDataFrame, ::Integer) constructor is now not deprecated
• combine(::GroupedDataFrame) (without passing a function to use for combining groups) is now deprecated

Bug fixes

• fixed getindex for GroupedDataFrame
• fixed DataFrame constructor from Vector{NamedTuple}
• GroupedDataFrame constructor now correctly allows AbstractVectors for specification of grouping columns

Documentation

• added append! documentation
• improved unstack examples in the documentation

Internal

• fromcolumns is now a bit more efficient
• Improved error messages for getindex function and improved handling of @inbounds with getindex
• Clean up Travis CI script
• various improvements in test code organization

- Julia
Published by bkamins over 7 years ago

DataFrames - Version 0.17.0

• further performance improvements in split-apply-combine functions and fix a bug in map on GroupedDataFrame grouping column selection;
• now view of a DataFrame retains parent DataFrame information for SubDataFrame and DataFrameRow
  • calling a view on a subset of columns of a DataFrame is much faster now
  • selecting all columns of a parent with a colon (e.g. view(df, 1:2, :)) makes a view always have all columns of a parent DataFrame even if it is mutated;
• you can now convert a SubDataFrame to a DataFrame;
• push! now accepts DataFrameRow as an argument and does not accept Dict with string keys (Symbols are required)
• DataFrame constructor accepts SubDataFrame or DataFrameRow as an argument returning a freshly allocated DataFrame;
• improved displaying of AbstractDataFrame, DataFrameRow and GroupedDataFrame for all supported MIMEs;
• added parent method for GroupedDataFrame;
• any AbstractDataFrame (not only DataFrame as before) now supports iterable table interface and other small improvements in integeation with Tables.jl and TableTraits; calling Tables.materializer on a DataFrame returns a DataFrame;
• various documentation and test coverage improvements

- Julia
Published by bkamins over 7 years ago

DataFrames - Version 0.16.0

• Remove deprecations for getindex, view, collect(::DataFrameRow); key highlights on the current functionality are:

  1. using @view on getindex always consistently returns the same range of values as getindex (but in a view)
  2. selecting a single row of a data frame always returns a DataFrameRow which is a view (using view or getindex); you can copy a DataFrameRow to get a NamedTuple containing the data from this row;
  3. iterating DataFrameRow yields the values only (similarly to a NamedTuple);
  4. when using row selector in getindex, e.g. df[:, col] always copies returned columns; use df[col] to avoid making a copy (and get the column itself if df is a DataFrame or an appropriate view of the column if df is a SubDataFrame or DataFrameRow).

• Fix bug with constructor with TableTraits 0.4.1.

• Respect output limit when printing to LaTeX.

• Avoid computing unused statistics in describe.

• Add disallowmissing keyword argument to dropmissing and dropmissing!.

• Make unstack use all columns other than :variable and :value as rowkeys.

• Improve error message for deletecols!.

• Add summary keyword argument to HTML show method.

• Fully implement parentindices and parent.

• Deprecate some convert methods and improve others.

• Implement more ndims methods.

• Show group values when printing grouped data frame.

• Correctly handle ranges in deletecols!.

- Julia
Published by nalimilan over 7 years ago

DataFrames - Version 0.15.2

• fix unique! and unique signatures to sync with Julia 1.1
• avoid printing deprecation warnings by dump, show and mapcols with SubDataFrame
• A minor documentation improvement

- Julia
Published by bkamins over 7 years ago

DataFrames - Version 0.15.1

• Avoid deprecation warning in eachcol.

- Julia
Published by nalimilan over 7 years ago

DataFrames - Version 0.15.0

• Make indexing more consistent (introducing many deprecations to be removed in the next release).
• Introduce new API for grouping, making it dramatically more efficient. Improve naming of columns created from anonymous functions.
• Deprecate length, delete!, insert! and merge! to make the API consistent with the definition of data frames as collections of rows (rather than of columns).
• Finish deprecation period of the makeunique argument.
• Deprecate head and tail in favor of first and last for consistency with Julia Base.
• Deprecate eachcol(df) in favor of eachcol(df, true) in order to change the default behavior in the future. Add a mapcols function to apply an operation to each column and return a data frame.
• Improve performance of TableTraits sink.
• Allow specifying columns to completecases, dropmissing and dropmissing!.
• Fix show methods for CSV/TSV. Add dimensions to HTML output.
• Add conversion from a DataFrameRow to a Vector.
• Improve documentation.

- Julia
Published by nalimilan over 7 years ago

DataFrames - Version 0.14.1

• Improve printing to HTML, GroupedDataFrame and type formatting.
• Improve code to avoid printing deprecation warnings.
• Add haskey method for DataFrameRow.
• Add repeat method for AbstractDataFrame.
• Make push! of NamedTuple to DataFrame use field names.
• Improve documentation.

- Julia
Published by bkamins over 7 years ago

DataFrames - Version 0.14.0

• Use new Tables.jl interface.
• Improve printing.
• Improve documentation.
• Omit prefix in when using function name to create column names with aggregate.
• Fix readtable.
• Avoid copying a vector in stackdf.
• Raise errors when passing a single Boolean to getindex.
• Fix stack overflow with vcat and by/aggregate.
• Deprecate iterating over DataFrameRow in favor of pairs.
• Add DataFrame constructor accepting a DataFrame.

- Julia
Published by nalimilan almost 8 years ago

DataFrames - Version 0.13.1

- Julia
Published by quinnj almost 8 years ago

DataFrames - Version 0.13.0

- Julia
Published by quinnj almost 8 years ago

DataFrames - v0.12.0

- Julia
Published by ararslan almost 8 years ago

DataFrames - Version 0.11.7

- Julia
Published by nalimilan almost 8 years ago

DataFrames - Version 0.11.6

- Julia
Published by nalimilan about 8 years ago

DataFrames - Version 0.11.5

• Fix combining DataFrames with a column with element type Missing.
• Test non-matching joins.

- Julia
Published by nalimilan over 8 years ago

DataFrames - Version 0.11.4

• Add filter and filter! methods.
• Deprecate automatic deduplication of column names, add makeunique keyword argument to enable it.
• Improve DataFrame constructors and conversions for Vector and Matrix.
• Check categorical argument length in constructor.
• Redesign getindex and fix stack/melt StackOverflowError.
• Fix a stack method calling stackdf instead of stack.
• Fix readtable with zipped files.
• Add deprecation for vcat(Vector{<:AbstractDataFrame}).

- Julia
Published by andreasnoack over 8 years ago

DataFrames - Version 0.11.3

• Fix similar and allowmissing!.
• Support joining dataframes on columns with different left/right names.
• Improve unstack.
• Keep columns which do not allow for missing values as such in join.
• Fix hash when passed an initial hash value.
• Make boolean indexing stricter to match behavior used in Julia Base.
• Julia 0.7 fixes.

- Julia
Published by ararslan over 8 years ago

DataFrames - Version 0.11.2

• Fix readtable in the presence of missing values.
• Use CodecZlib instead of GZip for readtable.
• Add one-argument version of allowmissing! to change all columns to accept missing values.
• Deprecate pipelining with |> and currying functions.
• Correct docstring for combine.
• Fix unstack in some special cases.
• Fix hcat between a vector as first argument and a DataFrame as second argument.
• Fix Julia 0.7 deprecations.

- Julia
Published by nalimilan over 8 years ago

DataFrames - Version 0.11.1

• Fix DataStreams allocate with CategoricalString.

- Julia
Published by quinnj over 8 years ago

DataFrames - Version 0.11.0

This is a breaking release. Deprecations are in place where possible, but code will need to be adjusted to work with the new framework. Changes: - NA (from the DataArrays package) has been replaced with missing (from the Missings package, and soon in Julia Base). - Columns are no longer converted to DataArray: do it manually if you want to use this type, or use Vector{Union{T, Missing}}. PooledDataArray should be replaced with either CategoricalArray or PooledArray. - Modeling features have been moved to the StatsModels package. - readtable and writetable habe been deprecated in favor of CSV.read and CSV.write from the CSV package. - Joining and grouping algorithm has been improved to be faster and no longer fails when number of groups is too high. - complete_cases(!) functions have been rework and new dropnull(!) functions added. - Concatenation code has been reworked, with better error messages. - The manual has been improved. - Printing has been improved. - And many other fixes and improvements.

- Julia
Published by nalimilan over 8 years ago

DataFrames - Version 0.6.6

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

- Julia
Published by rofinn almost 9 years ago

DataFrames - Version 0.10.1

- Julia
Published by ararslan almost 9 years ago

DataFrames -

- Julia
Published by ararslan about 9 years ago

DataFrames -

- Julia
Published by ararslan about 9 years ago

DataFrames - v0.9.0

Support for Julia 0.6. Julia 0.4 support dropped.

- Julia
Published by ararslan over 9 years ago

DataFrames - DataFrames v0.6.2

- Julia
Published by garborg over 11 years ago

DataFrames - DataFrames v0.6.1

- Julia
Published by garborg over 11 years ago

DataFrames - DataFrames v0.6.0

- Julia
Published by garborg over 11 years ago