Releases: ydataai/ydata-profiling
Releases · ydataai/ydata-profiling
pandas-profiling v2.1.2
Fix [#211] and README
pandas-profiling v2.1.1
- Fix of [#206]
- Improve code maintainability of the view (HTML templates, notebook)
- Fix bug in dendrogram sizing
pandas-profiling v2.1.0
The pandas-profiling
release version 2.1.0 includes:
- Correlations: correlation calculations are now more fault tolerant ([#51] and [#197]), correlation names in the report are clarified.
- Jupyter Notebook: rendering a profiling report is done inside the
srcdoc
attribute (which fixes [#199]), a full-width option is added and the column layout is improved. - User experience: The table styling and sample section formatting is improved.
- Warnings: detection added for categorical variable that is suspected to be of the datetime type.
- Documentation and community:
- The Contribution page helps users that want to contribute.
- Typo's fixed [#195], Thank you @abhilashshakti
- Added more examples.
- Other bugfixes and improvements:
Contributors:
@abhilashshakti @adamrossnelson @manycoding @InsciteAnalytics
pandas-profiling v2.0.3
Bugfix on version structure for 2.0.2.
pandas-profiling v2.0.2
Revised version structure, fixed recursion preventing installation of dependencies ([#184]).
The setup.py file used to include utils from the package prior to installation.
This causes errors when the dependencies are not yet present.
pandas-profiling v2.0.1
pandas-profiling v2.0.0
With 23 commits, 123 files changes and 20+ issues resolved, Pandas Profiling v2.0.0 is a big leap forward.
Thanks to the great contributions from everyone involved! Special thanks to @JosPolfliet @conradoqg @eyaltra.
pandas-profiling v1.4.3
pandas-profiling v1.4.2
- Multiple Bugfixes
- Enable Travis CI builds
Contributors:
@Aylr @LeonardAukea @kevanshea @endremborza @romainx @drkarthi
pandas-profiling v1.4.1
Enhancements
- Performance enhancement. It is now possible to disable some heavy resource operations and achieve better performances (see also #76):
- Correlation checking by turning
check_correlation
toFalse
(#43) - Recoded checking by turning
check_recoded
toFalse
.
- Correlation checking by turning
- Possibility to install using conda
- Implementation of a new Boolean variable type (#25)
- Add new badges for zeros and highly skewed (#63)
- Code refactoring (internal improvement) to split on main modules in 4 modules (#65)
- Improve types handling
- types like
list
,tuple
anddict
are now officially unsupported until we improve them - mixed columns are also correctly handled
- New Binary variable type supporting native
boolean
type and also binary numeric values (#77)
- types like
- Warnings column names have link to corresponding detail in variables section in order to ease the navigation (#66)
- Spearman and Pearson Correlation matrix diagrams added in the report (#83)