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devel / comp.lang.python.announce / [Python-announce] ANN: Release of PlotPy V2 📊

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o [Python-announce] ANN: Release of PlotPy V2 📊Pierre Raybaut

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[Python-announce] ANN: Release of PlotPy V2 📊

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From: pierre.r...@gmail.com (Pierre Raybaut)
Newsgroups: comp.lang.python.announce
Subject: [Python-announce] ANN:_Release_of_PlotPy_V2_📊
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 by: Pierre Raybaut - Tue, 31 Oct 2023 10:24 UTC

PlotPy V2 distinguishes itself in the realm of plotting libraries. Designed
for Python/Qt applications, this library offers a blend of superior
performance and enhanced interactive features. Its image display features,
driven by a C++ transform engine, include real-time high-quality
interpolation, LUT, and geometric transformations, elevating data
interaction.
PlotPy is part of the PlotPyStack project (<https://github.com/PlotPyStack>),
dedicated to delivering a comprehensive toolkit for crafting scientific and
technical data visualization applications.
The development efforts for PlotPy V2 were financed by the CEA (<
https://www.cea.fr/>).
What's New in PlotPy V2 🌟:
🔍 Major Updates:
Refined and unified API for curve and image plotting features (widget,
dialog, window). Introduction of a new window for synchronized multi-plot
displays 🔄.
🎨 Enhancements:
Expanded Image Lookup Table functionalities.
Integration of SVG-based shapes.
📖 Documentation:
Comprehensive Sphinx-based documentation enriched with API links, examples,
and tutorials.
⚙️ Development Features:
Black code formatting, robust `pytest`-based automated test suite, and a
70% test coverage milestone ✅.
We invite the community to explore PlotPy V2's capabilities.
Explore PlotPy V2 on PyPI: <https://pypi.org/project/PlotPy/>.
View the project on GitHub: <https://github.com/PlotPyStack/plotpy/>.
Review the documentation: <https://plotpy.readthedocs.io/en/latest/>.
Cheers,
Pierre


devel / comp.lang.python.announce / [Python-announce] ANN: Release of PlotPy V2 📊

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