Releases: pwwang/datar
Releases · pwwang/datar
0.5.1 (#59)
0.5.0 (#52)
Added:
- Added
forcats(#51 ) - Added
base.is_ordered(),base.nlevels(),base.ordered(),base.rank(),base.order(),base.sort(),base.tabulate(),base.append(),base.prop_table()andbase.proportions() - Added
gss_catdataset
Fixed:
- Fixed an issue when
Collectiondealing withnumpy.int_
Enhanced:
- Added
base0_argument fordatar.get() - Passed
__calling_envto registered functions/verbs when used internally (this makes sure the library to be robust in different environments)
0.4.4 (#49)
- Adopt
varnamev0.8.0 - Add
base.make_names()andbase.make_unique()
0.4.3 (#46)
- Adopt
pipda0.4.5 - Make dataset names case-insensitive;
- Add datasets:
ToothGrowth,economics,economics_long,faithful,faithfuld,luv_colours,midwest,mpg,msleep,presidential,seals, andtxhousing - Add
base.complete_cases() - Change
datasets.all_datasets()todatasets.list_datasets() - Make sure
assume_all_pipingmode works internally: close #45
0.4.2 (#44)
- Adopt
pipda0.4.4 - Add
varnameto dependency to close #30 - Rename
datar.datar_versionstodatar.get_versions - Port a set of functions from r-base, incluing:
prod,sign,signif,trunc,exp,log,log2,log10,log1p,is_finite,is_infinite,is_nan,match,startswith,endswith,strtoi,chartr,tolower,toupper,max_col
0.4.1 (#43)
- Don't use piping syntax internally (
>>=) - Add
python,numpy,executinganddatarversion todatar.datar_versions() - Fix #40: anti_join/semi_join not working when by is column mapping
0.4.0 (#39)
- Adopt
pipdav0.4.2
Performance improved:
- Refactor core.grouped to adopt pandas's groupby
- Try to use
DataFrame.agg()/DataFrameGroupBy.agg()when function applied on a single columns (Related issues: #27, #33, #37)
Fixed:
- Fix when
dataorcontextas new column name formutate() - Fix SettingwithCopyWarning in pivot_longer
- Use regular calling internally to make sure it works in some cases that node cannot be detected (ie
Gooey/%%timeitin jupyter)
Added:
datar.datar_versions()to show versions of related packages for bug reporting.
0.3.2 (#34)
0.3.1 (#24)
- Adopt
pipdav0.4.0 - Change argument
_dtypestodtypes_for tibble-families
0.3.0 (#22)
- Adopt
pipdav0.3.0
Breaking changes:
- Rename argument
dtypesofunchopandunnestback toptype - Change all
_base0tobase0_ - Change argument
howoftidyr.drop_natohow_