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@@ -5,6 +5,61 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/).
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## [Unreleased]
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## Changed
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- use `pillow` directly and remove `ImageIO` dependency
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### Fixed
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- WrightTools works with new h5py 3.16
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## [3.6.2]
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### Fixed
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- fixed bug where numpy>2.4 broke `data.join`
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- fixed bug which prevented channels from having units
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### Changed
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- per [PEP 765](https://peps.python.org/pep-0765/), `return` is removed from `finally` blocks
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## [3.6.1]
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### Changed
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- local version identifier uses only ASCII letters/numbers and periods (PEP 440)
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- actively supporting python 3.11-3.14
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-`Data.create_constant`: allow kwargs to be passed to the constant creation
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## [3.6.0]
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### Added
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-`Data.norm_for_each`: easier norm-by-axis syntax
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-`kit.from_list_of_objects`: convenience method for grabbing an channel/variable/axis/etc. using multiple specifiers
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-`Data.get_var`: get variable object by index, name, or variable itself
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-`Data.get_axis`: get axis object by index, name, or variable itself
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-`Data.get_channel`: get channel object by index, name, or variable itself
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### Fixed
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- quick2D works with contours on
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- quick2D works with `pixelated=False` (i.e. contourf)
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-`data.from_LabRAM`: small tweaks to deal with newly emerged test failure in python 3.11 tests
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### Changed
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- various unit tests were altered to speed up CI
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- default colorbar is sampled at 4096 points (was 256)
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- packaging now done through pyproject.toml
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## [3.5.5]
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### Fixed
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- distribution information includes dependency setuptools (fixes conda feedstock)
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## [3.5.4]
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### Fixed
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- setup.py is now configured to allow numpy 2.x
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- contour/contourf artist overloads compatible with matplotlib 3.10
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### Changed
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- actively supporting python 3.11-3.13
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## [3.5.3]
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### Added
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- wt5 explore : fixed bug where data will not load interactively if directory is not cwd
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- constants in chopped data will inherit the units of the original data
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## Changed
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-use `pillow` directly and remove `ImageIO` dependency
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###Changed
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-numpy 2.0 compatible
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- refactor of artists.quick1D and artists.quick2D
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- quick2D and quick1D will not force `autosave=True` if the number of figures is large. Instead, interactive plotting will be truncated if the number of figures is large.
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- artists now gets turbo colormap straight from matplotlib
@@ -398,7 +453,12 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/).
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