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Releases: tidypyverse/tidypandas

v0.2.5

13 Jun 08:21
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v0.2.5 Pre-release
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  • 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

27 Jan 16:44
4da8907
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v0.2.4 Pre-release
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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

19 Oct 03:28
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v0.2.3 Pre-release
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  • 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 13:19
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v0.2.2 Pre-release
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v0.2.2 (28th June 2022)

  1. minor bug in _is_kwargable is fixed, making mutate better 
    
  2. minor bug in filter with mask is fixed
    
  3. CI is enabled with github actions
    

v0.2.1

14 Jun 05:12
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v0.2.1 Pre-release
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v0.2.1 (14th June 2022)

  • glimpse by default shows 100 columns
  • add_row_number is more efficient

v0.2.0

12 Jun 16:59
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v0.2.0 Pre-release
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  • 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 (github only release, not a PYPI release)

07 Jun 15:32
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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 May 18:04
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v0.1.4 Pre-release
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init method does not corece column types anymore

v0.1.3

27 Apr 06:23
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v0.1.3 Pre-release
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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 Apr 13:34
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v0.1.2 Pre-release
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bugfix: 'skimpy' is now optional!