napari/napari: 0.2.9

Announcement: napari 0.2.9

We're happy to announce the release of napari 0.2.9! 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

• better support for surface timeseries (#831)
• contrast limits slider popup on right click (#837)
• better isosurface rendering with colormaps (#840)
• attenuated MIP mode for better 3D rendering (#846)

New Features

• convert layer properties to dictionary (#686)
• better support for surface timeseries (#831)
• make contrast_limits_range public and climSlider popup on right click (#837)
• attenuated MIP mode for better 3D rendering (#846)

Improvements

• bump numpydoc dependency to 0_9_2 for faster startup (#830)
• better isosurface rendering with colormaps (#840)
• add nearest interpolation mode to volume rendering for better labels support (#841)
• refactor RangeSlider to accept data range and values. (#844)
• in bindings logic, check if generator, not generator function (#853)

Bugfixes

• fix fullscreen crash for test_viewer (#849)
• fix RangeSlider.rangeChange emit type bug (#856)

API Changes

• edge_color and face_color now refer to colors of all points and shapes in layer, current_edge_color and current_face_color now refer to the colors currently selected in the GUI (#686)

5 authors added to this release [alphabetical by first name or login]

• Juan Nunez-Iglesias
• Kira Evans
• Nicholas Sofroniew
• Talley Lambert
• Tony Tung

4 reviewers added to this release [alphabetical by first name or login]

• Juan Nunez-Iglesias
• Nicholas Sofroniew
• Talley Lambert
• Tony Tung