Python 交互式可视化库,Bokeh 0.9.2 发布
Bokeh (Bokeh.js) 是一个 Python 交互式可视化库,支持现代化 Web 浏览器,提供非常完美的展示功能。Bokeh 的目标是使用 D3.js 样式提供优雅,简洁新颖的图形化风格,同时提供大型数据集的高性能交互功能。Boken 可以快速的创建交互式的绘图,仪表盘和数据应用。
Bokeh 0.9.2 发布,此版本更新内容如下:
* Several nan-related fixes including the slow rendering of plots
* Removed some unused dependencies
* Fixes in our automated release process
* Fixed the patchs vanishing on selection
* More control over ticks and gridlines
* MPL compatibility updated
* Several examples updated
* bugfixes:
- #735 Inconsistent conversion of np.nan to json data in bokehjs
- #1005 Nan in data source column causes problem with glyph interface
- #1039 Bokeh server can display an empty document without any visible errors
- #1075 [tests] Test failure if websocket client is not installed
- #1139 Hover tool swaps sides at an off-center position
- #1176 Session.store_document() fails in table_server example
- #1264 Stock app fails to refresh after drop down is updated
- #1381 Fill_color argument doesn't handle rgb(a) tuples properly
- #2513 Fix release script failures
- #2514 Bug: all patches vanish on selection
- #2524 Setting a fixed font size value as a string is deprecated warnings
- #2529 [docs] Internal server error on quickstart
- #2582 [bokehjs] [regression] Slow plot rendering for 0.9.1
- #2586 [bokehjs] Decimated glyph needs visuals set also
- #2593 [docs] Fix typo in charts user guide
- #2600 [bokehjs] Hotfix/fixed ticker
* features:
- #194 [widgets] Widget/controls integration
- #2379 Get a warning about an invalid column name
- #2496 Improve mouseover information in texas example
- #2548 [bokehjs] Need more control over ticks and gridlines
* tasks:
- #2441 Warning when instantiating plot with no arguments
- #2540 Add console warning when bokeh-plot fails
- #2541 [docs] Breaking out inline plot examples in user guide into files
- #2543 Mpl update
- #2546 Clean up examples, use standard bokeh.io output
- #2547 [docs] Fix typo in components deprecation message
- #2554 [branches] Fix bug on ie (avoid using indices)
- #2577 [docs] Editing up to concepts
- #2598 Serializing data with numpy optional
- #2605 Hotfixes 0.9.2