tidypolars 0.17.0

tidypolars requires polars >= 1.9.0 and dplyr >= 1.2.0.

Breaking changes and deprecations

• The following functions (deprecated since 0.10.0, August 2024) are now removed
  (#303):

  • describe(), use summary() instead.
  • describe_plan() and describe_optimized_plan(), use
    explain(optimized = TRUE/FALSE) instead.

• make_unique_id() is deprecated and will be removed in a future version. This
  is because the underlying Polars function isn't guaranteed to give the same
  results across different versions. This function doesn't have a replacement in
  tidypolars (#304).

• In partition_by_key() and partition_by_max_size() (both already deprecated
  in 0.16.0), the argument per_partition_sort_by has been removed (#322).

New features

• Added support for dplyr::near() (#311).

• pivot_wider() now works with Polars LazyFrames (#318).

• Added support for several functions implemented in dplyr 1.2.0:

  • filter_out() (#280)
  • recode_values() (#308)
  • replace_values() (#308)
  • replace_when() (#307)
  • when_any() (#306)
  • when_all() (#306)

• separate() now supports regex in the sep argument (#320).

Other changes

• Several changes to make tidypolars more aligned with the tidyverse output
  in general (#316):

  • in count(), if sort = TRUE and there are some ties, then other variables
    are sorted in increasing order.
  • coalesce() no longer has a default argument. This was an implementation
    mistake since dplyr::coalesce() never had this argument.
  • ungroup() used to remove the group-specific attributes in the original
    grouped data, even if the result of the operation was not assigned. This is
    fixed.
  • replace_na() on a Polars DataFrame or LazyFrame now errors if replacement
    is not a list.
  • slice_*() functions on grouped data return columns in the same order as in
    the input.
  • summarize() with only NULL expressions now returns one row per unique
    group instead of the entire data.
  • unite() now returns columns in the correct order, and doesn't duplicate the
    sep in the output if some values are NA.

Bug fixes

• bind_rows_polars() now uses input names in .id if not all inputs are named,
  for example bind_rows_polars(x1 = x1, x2, .id = "id") (#317).