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v0.2.13

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@dovahcrow dovahcrow released this 01 Oct 21:43
· 623 commits to develop since this release

Bugfixes 🐛

  • eda: change dtype 'string' to 'object' (8ddddbc)
  • eda: remove unecessary compute (98c4ab0)
  • connector: wrong calculation for pagination (516038b)
  • eda.data_array: handle empty df correctly (97db86d)
  • eda.distribution: fix pie chart insight (d3564a6)
  • eda.distribution: delay scipy computations (89fafae)
  • eda.correlation: wrong mask calculation (8ebe9cc)
  • eda.plot: fixed wordcloud, all nan column (ce762d5)

Features ✨

  • connector: implement authorization code (e6838ca)
  • connector: full text search _q to be a universal parameter (947584a)
  • cleaning: add clean_email() function (4658a20)
  • connector: implement generator (7a93ea0)
  • connector: add token based pagination (5ec6e00)
  • connector: implement page pagination (02c93b4)
  • connector: implement header authentication (d879c20)
  • connector: use pydantic for schema (dff0844)
  • connector: rename pagination types (500ce13)
  • cleaning: add report parameter for clean_lat_long (f0af621)
  • connector: Parameter check when calling query() (0db7a16)
  • eda: support series as the input (bad6a87)
  • eda.plot: Redesigned layout for plot(df, x) (04c7fd5)
  • cleaning: clean latitude, longitude coordinates (93927a9)
  • eda.report: allow disabling the progress bar (2a90f7f)
  • eda.correlation: move nan corr values to the bottom (4bba52e)
  • eda: add progress bar for dask local scheduler (e13257c)
  • eda.plot: increase # of bins and ngroups (f78cfae)

Performance 🚀

  • eda.plot: changed drop_null to dropna (0a7fe56)
  • eda.missing: use DataArray (fb69ea1)
  • eda.plot: optimize bivariate computations (031748e)
  • eda: improve progress bar performance (64be889)
  • eda.correlation: increase the performance (3575aac)
  • eda.correlation: performance tuning (68471e5)

Documentation 📃

  • cleaning: add documentation for clean_email() (5bc3770)
  • cleaning: update clean_lat_long docs (d698a10)
  • cleaning: add documentation for clean_lat_long (eaba8c7)

Contributors this release 🏆

The following users contributed code to DataPrep since the last release.

🎉🎉 Thank you! 🎉🎉