Changelog#

v0.3.0 (16th Aug 2023)#

  • tidyselect is introduced in a few verbs (methods) which support start_with, ends_with and contains.

  • summarise now supports returning an iterable within a list as a output, no longer restricts the output to a scalar.

v0.2.6 (18th June 2023)#

  • pivot_wider gains a new argument id_expand (False by default)

v0.2.5 (13th June 2023)#

  • slice_max and slice_min are rewritten to avoid pandas apply and using pandas.groupbBy.Series.rank, thereby being fast for larger datasets.

v0.2.4 (27th Jan 2023)#

  • tidyframe drops row indexes when constructed using a pandas dataframe

  • User is expected to run tidypandas.tidy_utils.simplify() beforehand to handle complicated pandas dataframe input

v0.2.3 (19th Oct 2022)#

  • bugfix: show proper error message when tidyframe cannot be created from pandas dataframe with some column starting with underscore

  • bugfix: tidyframe.separate now handles NAs

v0.2.2 (28 Jun 2022)#

  • minor bug in _is_kwargable is fixed, making mutate better

  • minor bug in filter with mask is fixed

  • CI is enabled with github actions

v0.2.1 (14th June 2022)#

  • glimpse by default shows 100 columns

  • add_row_number is more efficient

v0.2.0 (12th June 2022)#

  • show method added (print specified number of rows)

  • glimpse method added (to see dataframe in horizontal form)

  • add_row_number is fast in grouped case (use of .cumcount)

  • All changes of github only release v0.1.5

v0.2.0 (12th June 2022)#

  • show method added (print specified number of rows)

  • glimpse method added (to see dataframe in horizontal form)

  • add_row_number is fast in grouped case (use of .cumcount)

  • All changes of github only release v0.1.5

v0.1.5 (7th June 2022)#

  • methods ‘expand’ and ‘complete’ are implemented

  • ‘rename’ method gains arguments ‘predicate’ and ‘func’

  • ‘pivot_wider’ method gains argument ‘names_prefix’

  • ‘skim’ method now provides a warning when skimpy is not installed

  • utility ‘expand_grid’ is implemented

v0.1.4 (14/05/2022)#

  • init now does not coerce column classes

v0.1.3 (27/04/2022)#

  • repr set right for dataframes with pandas version <= 1.4.0

  • tidyframe init now accepts inputs and passes them to pd.DataFrame

  • Along with accepting a pandas dataframe

v0.1.2 (24/04/2022)#

  • minor bugfix where skimpy is now optional!

v0.1.1 (22/04/2022)#

  • Patch for First release of tidypandas!

v0.1.0 (22/04/2022)#

  • First release of tidypandas!

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tidypandas.tidyselect