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CHANGELOG.md

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Changelog Polars

The Python bindings of polars have their own changelog.

Polars 0.16.0

  • features
    • read compression streams
    • improve window exprs
    • interpolate series
    • add flattened window exprs
    • Series::fill_nan
    • improve consistency of agg exprs
    • prefix/suffix exprs
    • DataFrame::transpose
    • rolling window functions in lazy
    • add .arr namespace
    • argsort expr
    • rank: (min, max, avg, dense, ordinal)
    • add null behvavior of horizontal sum/mean
    • skew aggregation
    • kurtosis aggregation
    • and a lot more
  • bug fix
    • Categorical type append
    • fix serde
    • csv decompression 33f69fe33e70cbeffda04ea218df525bcf6fce8a
    • fix O^2 pivot.count
    • improve type-casting optimizer
    • fix agg_quantile
    • fix explode/flatten on slice lists
    • fix bug in utf8/categorical cast
    • fix float join on multiple columns
    • csv parser handle files without EOF
    • fix df explode on df's with single column
    • change asof join behavior
    • fix bugs in predicate pushdown
    • and a lot more
  • performance
    • lazy drop nulls optimization
    • improve fill_null performance
    • improve primitive sorting
    • improve hashing performance
    • improve csv parser
    • unstable sort in stable groupby
    • improve performance of list iteration

Polars 0.15.0

  • feature
    • extract jsonpath
    • more object support
  • performance
    • improve list take performance
  • bug fix
    • don't panic in out of bounds take, but error
    • update offsets in case of utf8lossy
  • breaking
    • take returns error
    • parsers take W: Write instead of &mut W

Polars 0.14.8

  • feature
    • concat_str function
    • more object support
    • hash and row_hash function/ expr
    • reinterpret function/ expr
    • Series.mode expr/function
    • csv file decompression
    • read_sql support
  • performance
    • divide and conquer binary expressions

Polars 0.14.7

  • feature
    • cross join added
    • dot-product
  • performance
    • improve csv-parser performance by ~25%
  • bug fix
    • fix ub of AlignedVec dealloc
    • various minor

Polars 0.14.6

  • feature
    • is_first expr/method
    • asof join added
    • resolve ~ to homedir
  • performance
    • use fast csv-parser for more input types
  • bug fix
    • kleene or and and operations
    • maybe fix rayon deadlock
    • string addition lhs broadcast

Polars 0.14.5

  • feature
    • csv-parser option to ignore comment lines
  • performance
    • improve take on DataFrame
    • remove bound checks in buffer creation
    • improve performance of sorting by multiple columns
    • improve argsort performance
  • bug fix
    • fix backward/forward fill
    • window groupby context

Polars v0.13

  • performance

    • Vast reduction of compile times by making compilation dtypes of Series opt-in.
    • Fast multi-threaded csv parser. Fixes multiple gripes of old parser.

  • features

    • Series / ChunkedArray implementations
      • Series::week
      • Series::weekday
      • Series::arg_min
      • Series::arg_max

  • breaking

    • ChunkedArray::arg_unique return UInt32Chunked instead of Vec

  • bug fixes

    • various

Polars v0.12

  • Lot's of bug fixes

Polars v0.10 / v0.11

  • CSV Read IO

    • Parallel csv reader

  • Sample DataFrames/ Series

  • Performance increase in take kernel

  • Performance increase in ChunkedArray builders

  • Join operation on multiple columns.

  • ~3.5 x performance increase in groupby operations (measured on db-benchmark), due to embarrassingly parallel grouping and better branch prediction (tight loops).

  • Performance increase on join operation due to better branch prediction.

  • Categorical datatype and global string cache (BETA).

  • Lazy

    • Lot's of bug fixes in optimizer.
    • Parallel execution of Physical plan
    • Partition window function
    • More simplify expression optimizations.
    • Caching
    • Alpha release of Aggregate pushdown optimization.

  • Start of general Object type in ChunkedArray/DataFrames/Series