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

Changelog History
Page 3

  • v0.6 Changes

    November 12, 2017

    🚀 Released: 2017-11-11

    • More idiomatic API mimicking kotlin stdlib where possible
    • ➕ Added DataFrame.remove to drop columns from data-frames
    • ➕ Added DataFrame.addColumn to add column from data-frames
    • ➕ Added DataFrame.sortBy(TableFormula)
    • ➕ Added DataFrame.filterByRow
    • Reworked column selector API
    • 🔄 Changed column expression API from Any to a constrained set of support types
    • 🛠 Fixed issues when combining columns of different types (e.g. DoubleCol + IntCol
    • ⬇️ Dropped most unary operators

  • v0.5 Changes

    Skipped.

  • v0.4 Changes

    🚀 released on 2017-4-12

    🆕 New Features

    • 🛠 spread()-gather() support for elegant data reshaping (fixes #2)
    • 👌 Improve reshaping functionality by adding unite and separate (fixes #9)
    • ➕ Added sampleFrac() and sampleN() for random sub-sampling of data-frames (either with or without replacement)

    🛠 Important Bug Fixes

    • mutate() can now change existing columns without altering column positions

    Other

    • 🆕 New property accessor DataFrame.cols to access all columns of a data-frame
    • Incremented kotlin version to 1.1

  • v0.3 Changes

    🎉 Initial Release

    • Implement all dplyr core verbs
    • Implement all join types
    • 👍 Table write support using csv-commons wrapper
    • ✅ Extensive unit test coverage =
    • TravisCI integration
    • 👌 Support for count() and distinct()
    • Basic benchmarking framework (without jvm usage)