Releases: tidypyverse/tidypandas
Releases · tidypyverse/tidypandas
v0.2.5
- 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
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
- 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
v0.2.2 (28th June 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
v0.2.1 (14th June 2022)
- glimpse by default shows 100 columns
- add_row_number is more efficient
v0.2.0
- 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)
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
init method does not corece column types anymore
v0.1.3
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
bugfix: 'skimpy' is now optional!