napari 0.2.11#

We’re happy to announce the release of napari 0.2.11! napari is a fast, interactive, multi-dimensional image viewer for Python. It’s designed for browsing, annotating, and analyzing large multi-dimensional images. It’s built on top of Qt (for the GUI), vispy (for performant GPU-based rendering), and the scientific Python stack (numpy, scipy).

For more information, examples, and documentation, please visit our website: https://github.com/napari/napari

Highlights#

  • Point face color and edge color are now settable as a property in a columnar data table, mapped using a colormap (continuous values) or a color cycle (categorical values). See this example <https://github.com/napari/napari/blob/main/examples/add_points_with_properties.py>_ for syntax details.

  • Python 3.8 is now supported.

Improvements#

  • Represent color as Nx4 array in Points (#782)

  • Qt/Vispy connection & lambda refactor (#859)

  • Improve slider step precision based on data range (#884)

  • Allow Points display properties to be set by point properties (#895)

  • Refactor add_* methods (#897)

  • Add _add_layer_data method and tests (#909)

Bug Fixes#

  • Fix clim popup position in floating widgets (#869)

  • Fix points selection (#902)

  • Move benchmarks under napari directory but not distributed (#913)

  • Patch py3.8 on windows (#915)

  • Fix nD Shapes.to_labels (#920)

  • Fix singleton dims (#923)

Support#

  • Add PyQt5 tests to Linux and OSX CI (#867)

  • Change autodevdoc script to use new git reference (#876)

  • Fix invalid instructions in setup.py (#877)

  • Bump tests to python 3.8, general tests fix (#878)

  • Clean up setup.py (#880)

  • Fix osx py3.6 tests (#916)

  • Add Python 3.8 to PyPI tags (#917)

  • Relocate existing tests for appropriate discoverability. (#918)

  • Import scipy stats to prevent strange bug in tests (#927)

7 authors added to this release (alphabetical)#

8 reviewers added to this release (alphabetical)#

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