All Versions
24
Latest Version
Avg Release Cycle
56 days
Latest Release
-

Changelog History
Page 2

  • v0.12 Changes

    • 🆕 New: Extended bindRows API to combine data rowwise (see PR #77 by @CrystalLord)

  • v0.11 Changes

    March 18, 2019
    • 🆕 New: Added built-it support for Long columns (PR #69 by @davidpedrosa)

  • v0.10.3 Changes

    October 04, 2018

    👀 See CHANGES.md for changes.

  • v0.10.2 Changes

    September 30, 2018

    👀 See CHANGES.md for changes.

  • v0.10.1 Changes

    September 06, 2018

    👀 See CHANGES.md for changes.

  • v0.10 Changes

    September 03, 2018

    Major:

    • 🆕 New: summarizeAt for simplified column aggregations
    • 🆕 New: setNames to replace column headers of a data-frame
    • 🆕 New: Deparse Iterables more conveniently using lambdas in deparseRecords

    Minor:

    • 🛠 Fixed: Can not read csv-tables without header
    • ➕ Added option to skip lines in csv reader.
    • 🛠 Fixed schema() should no throw memory exception (#53: )
    • 🛠 Fixed DataFrame.readTSV default format (#56)
    • ➕ Added where() for conditional column creation (relates to #54)
    • ➕ Added writeTSV
    • 🛠 Fixed grouping by Any columns
    • ➕ Added: toDoubleMatrix() helper extension method

  • v0.9.1 Changes

    May 17, 2018

    Major Enhancements

    • DataFrame.fromJson will now flatten nested json data

    Minor

    • ➕ Added sum() extension for columns summaries/transformation
    • ➕ Added dataFrameOf() that accepts Iterable of names
    • ➕ Added bindRows() alias that accepts data frames as varargs
    • ➕ Added bindCols() extension for list of DataCol
    • Fill missing cells with NA in bindRows and bindCols
    • Resolve duplicated column names in bindCols()
    • ➕ Added new builder to create data-frame from DataFrameRow iterator
    • ➕ Added addRowNumber to add the row number as column to a data-frame
    • 🛠 Fixed: Incorrect types in gathered columns

  • v0.9 Changes

    April 11, 2018

    🚀 Released 2018-04-11

    Major Enhancements

    • 👍 Allow index access for column model (fixes #46): irisData[1][2]
    • 👌 Improved DataFrame.count to respect existing groupings and to simply count rows if no grouping is defined
    • ➕ Added moveLeft and moveRight to rearrange column order
    • ➕ Added nest and unnest to wrap columns into sub-tables and back
    • ➕ Added expand and complete to expand column value-sets into data-frames
    • ➕ Added function literal support for count and groupBy (fixes #48): irisData.groupByExpr{ it["Sepal.Width"] > 3 }
    • ➕ Added receiver context for sortBy lambdas with sorting specific API (fixes #44)

    👌 Improved data-frame rendering

    • 👌 Improved print()ing of data-frames and schema()ta to have better alignment and more formatting options
    • 0️⃣ Print row numbers by default when using print (fixes #49)

    Minor Enhancements

    • 🚚 Renamed select2/remove2 to selectIf and removeIF
    • 🛠 Fixed #39: Can not add scalar object as column
    • 📚 Started submodule for documentation
    • 🖨 Hide columns in print after exceeding maximum line length (fixes #50)
    • 🛠 Fixed #45: sleepData.sortedBy{ "order" } should fail with informative exception

  • v0.8 Changes

    March 21, 2018

    🚀 Released 2018-03-21

    Major Enhancements

    • ➕ Added property unfolding df.unfold<Person("user", properties=listOf("address"))
    • ➕ Added text matching helper: irisData.filter{ it["Species"].isMatching{ startsWith("se") }} (fixes #21)
    • ➕ Added sortedByDescending and desc and added more sorting tests
    • ➕ Added More elegant object bindings via reflection. Example val objPersons : Iterable<User> = users.rowsAs<User>() (fixes #22)
    • ➕ Added compressed csv write support, configurable or by filename guessing

    Minor Enhancements

    • More robust row to object conversion
    • Made List<Boolean?>.not() public
    • 👉 Use regex instead of string as separate separator
    • 🛠 Replaced fixed temporary column names with uuids
    • 🛠 Fixed incorrect coercion of incomplete inplace data to df
    • ➕ Added concat operator for string column arithmetics
    • 🛠 Fixed arithmetic comparison operators
    • ➕ Added beakerx display adapter

  • v0.7 Changes

    March 14, 2018

    🚀 Released 2018-03-14

    Major Enhancements

    • 👍 Allow specifying column types when reading csv data (Thanks to LeanderG for providing the PR)
    • ➕ Added groupedBy to provide distinct set of grouping tuples as data-frame
    • 👍 Read support for URLs (Example DataFrame.readCSV("https://git.io/vxks7").glimpse())
    • ➕ Added basic read/write support for JSON data
    • ➕ Added generic collection conversion Iterable<Any>.asDataFrame() via reflection (fixes #24)

    Incompatible API changes

    • 📇 Renamed structure to columnTypes
    • Renamed all table read function from .from* to .read*
    • 🛠 Fixed #29: mapNonNull should use parameter and not receiver

    Minor Enhancements

    • Namespace cleanup to hide internal helpers
    • Bundled irisData
    • ✨ Enhanced: DataCol.toDouble() should work for int columns as well (same vv)
    • ➕ Added MIT License
    • 👉 Use iterable instead of list for object conversions