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Bokeh 2.3 We are pleased to announce the release of Bokeh 2.3! This is a large release that includes a wide array of updates and improvements, both back-end and front-end.
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Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications..
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We are pleased to announce the release of Bokeh 2.3! This is a large release that includes a wide array of updates and improvements, both back-end and front-end. Features. Multi-line axis and tick labels has been a long-awaited feature. With#10828 completed, long axis and tick labels can be split up for better visual results:
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Mar 9, 2020. Bokeh 2.0 brings enhanced security options, new widgets, improved Jupyter integration, and more! This is a major release that includes some breaking changes, with the goal of improving the usability and maintainability of the library. The most important change to be aware of is that Python 3.6 is now the minimum Python version.
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Bokeh is a Python library for creating interactive visualizations for modern web browsers. Bokeh helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming datasets. With Bokeh, you can create JavaScript-powered visualizations without writing any JavaScript yourself. Most of the functionality of Bokeh is.
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Mistic is a software package written in Python and uses the visualization library Bokeh. Mistic can be used to simultaneously view multiple multiplexed 2D images using pre-defined coordinates (e.g. t-SNE or UMAP), randomly generated coordinates, or as vertical grids to provide an overall visual preview of the entire multiplexed image dataset.
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Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets. Bokeh can help anyone who wants to create interactive plots, dashboards, and data applications quickly and easily. Package.
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Bokeh 3.0 will stop micro-managing layout and work more harmoniously with existing tools and web frameworks. Protocol. The default, Tornado-based Bokeh server makes it quick and easy to get up and running with bokeh serve app.py. But for folks wanting to integrate Bokeh application content into other web frameworks, the dependency on Tornado.
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This week's release of Bokeh 2.0.2 includes some small feature improvements and bug fixes. The full changelog is available on GitHub, and includes:. An enhancement to use multiple versions of BokehJS on the same page, accommodating historical plots as needed — a feature suggested by user hdoupe on our Discourse #9812; Resolution of a bug involving session token expiration times for servers.
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2.4.3#. Bokeh Version 2.4.3 (May 2022) is a patch release that fixes a number of minor bugs/regressions and build issues.. This release also includes several improvements to Bokeh's WebGL output backend.Updates include newly added WebGL support for hbar, quad, vbar and hex_tile glyphs, as well as improvements and bug fixes for line, scatter, circle and rect glyphs:
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We shot the same scene with three different cameras with 35mm equivalent lenses that can shoot at f/2: Olympus OM-D E-M5 Mark III with M.Zuiko Digital 17mm f/1.8 lens. Sensor size MFT, crop factor 2x, effective focal length 34mm. Fujifilm X100V with fixed Fujinon 23mm f/2 lens. Sensor size APS-C, crop factor 1.5x, effective focal length 35mm.
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Bokeh 2.2 is out this week, with DataTable improvements, SVG export fixes, performance enhancements, a new DocumentReady event, and lots of other small fixes and features.. DataTables. The DataTable got a style update! The header row and overall theme have been lightened, resulting in a more modern look.
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Bokeh 2.3.3 released. Announcements. carolyn July 7, 2021, 7:32pm 1. Bokeh 2.3.3 is now released and ready! Updates include some fixes to layouts and documentation expansion and clarification. See the full list of changes in the release notes. 2 Likes. Bokeh 2.3.3 is now released and ready!
Bokeh 2 by riverfox1 on DeviantArt
Hi Bryan, thanks a lot for the quick response! Yes, the full path to the png image is correct, I checked it. I only updated bokeh=2.3.3 to bokeh=2.4.0 (via pip install bokeh==2.4.0) between my two runs, so my guess was to trace it back to the updated bokeh version since anything else remained unchanged (in particular no update of the tornado package and change of code).
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Bokeh documentation. ¶. Bokeh is a Python library for creating interactive visualizations for modern web browsers. It helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming datasets. With Bokeh, you can create JavaScript-powered visualizations without writing any JavaScript yourself.
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2.4.0¶. Bokeh Version 2.4.0 (September 2021) is a new minor-release level that brings many updates. Some of the new feature work includes: First support for LaTeX- and MathML-based Mathtext (axis labels, tick labels, and Divs) over the course of several PRs: #11466, #11525, #11584, #11585.Look for upcoming releases to extend support to titles, legends, and labels.