v0.1.0 (May 6, 2025)

pyTENAX 0.1.0 Release Notes

Contributors

• @PetrVey
• @ELLAtho
• @JannisHoch
• @rasakbary

What's Changed compare to previous v0.0.1

• First contributions by @JannisHoch in #20

1. Replace setup.py with pyproject.toml
2. Updated env.yaml -> set pandas dependency to > 2.2 to remove version checks for .groupby operators in code
3. Added precommit hooks -> install in conda env by running precommit install
4. Overall updated docstrings and typehinting
5. Change of file names and how classes are called
6. Minor change to remove_short() function in tenax.py, addressing #9
7. #21 Pull Request

• Documentation update & bootstrap threshold change by @PetrVey in #21

1. Updated missing documentation.
2. Changed the threshold in TENAX bootstrapping to be calculated for each bootstrap sample.
   This was discussed with Francesco months ago. The threshold should indeed be calculated based on the bootstrap sample, and its previous implementation was a typo in the original MATLAB package (Matlab was updated in late April 2025, so we followed).

• Feature figures move by @PetrVey in #22

1. Move figures to plotting file
2. fix some typos
3. quantile regression uncertainty iteration hard-coded to 1000 (decrease of unc). We still must check on this later.

• Feature rdt by @PetrVey in #24

1. Made read the docs https://pytenax.readthedocs.io/en/latest/
2. Made three Jupyter tutorials, also available in interactive env of Binder
3. Placed "rsc" folder into "src" source code folder
4. This means that files are installed together with pyTENAX if the package is installed in non-editable mode.
5. Changed how test data files are loaded (now loaded with importlib_resources.files)
6. env.yml renamed to environment.yml
7. Validation plot was updated (supports not including Tenax uncertainty with empty input)

• Release version 0.1.0 by @PetrVey in #25

1. Released of version 0.1.0

PRs included in previous v0.0.1, which were not officially documented in release tag

• rebuild as a package by @PetrVey in #1
• consistent data with Matlab by @PetrVey in #2
• Revert "consistent data with Matlab" by @PetrVey in #3
• Bug pmc fix by @PetrVey in #4
• Feature bootstrap by @PetrVey in #5
• Graphs by @ELLAtho in #6
• fixed error in gen_norm_loglik print warning by @ELLAtho in #7
• Feature skewnorm temp model by @PetrVey in #14
• Documentation by @ELLAtho in #16
• F_phat with set b by @ELLAtho in #17

Full Changelog: https://github.com/PetrVey/pyTENAX/commits/v0.1.0