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Release notes

Latest changes (unreleased)

Features

Improvements

Fixes

0.1.6

Features

  • Support for timezone argument in all calendar operators.
  • Add drop() operator to drop features.
  • Add assign() operator to assign features.
  • Add before() and after() operators.

Improvements

  • Improve error messages for type mismatch in window operators.
  • Improve structure of docs site.
  • Support exporting timestamps as datetimes in tp.to_pandas().
  • Remove inputs limit in glue() and combine().

Fixes

  • Use wday=0 for Mondays in tick_calendar (like calendar_day_of_week).
  • Support bool in DType.missing_value().
  • Show EventSet's magic methods in docs.

0.1.5

Features

  • Added EventSet.filter_moving_count() operator.
  • Added EventSet.map() operator.
  • Added EventSet.tick_calendar() operator.
  • Added EventSet.where() operator.
  • Added all moving window operators to Beam execution backend.

Improvements

  • Print EventSet timestamps as datetimes instead of float.
  • Support sampling argument in EventSet.cumsum() operator.
  • Using utf-8 codec to support non-ascii in string values.
  • New tp.types module to facilitate access to types used throughout the API.
  • Relaxed version requirements for protobuf and pandas.

Fixes

  • Fixed issues when loading timestamps from np.longlong and other dtypes.

0.1.4

Features

  • Added EventSet.select_index_values() operator.
  • Added steps argument to EventSet.since_last() operator.
  • Added variable window_length option to moving window operators.
  • Added unsupervised anomaly detection tutorial.
  • Add until_next operator.
  • Added Beam execution tutorial.
  • Added changelog to docs site.

Improvements

  • Added display_max_feature_dtypes and display_max_index_dtypes options to tp.config.
  • Improved HTML display of an EventSet.
  • Improvements in Beam execution backend.

Fixes

  • Fixed tutorials opening unreleased versions of the notebooks.

0.1.3

This is the first operational version of Temporian for users. The list whole and detailed list of features is too long to be listed. The main features are:

Features

  • PyPI release.
  • 72 operators.
  • Execution in eager, compiled mode, and graph mode.
  • IO Support for Pandas, CSV, Numpy and TensorFlow datasets.
  • Static and interactive plotting.
  • Documentation (3 minutes intro, user guide and API references).
  • 5 tutorials.