发布于 2015-07-25 00:24:16 | 203 次阅读 | 评论: 0 | 来源: 网友投递

这里有新鲜出炉的精品教程，程序狗速度看过来！

Bokeh Python 交互式可视化库

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。

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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

下载：https://github.com/bokeh/bokeh/archive/0.9.2.zip。

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。

历史版本 :
Bokeh 0.12.11rc4 发布，Python 交互式可视化库
Bokeh 0.12.10 发布，Python 交互式可视化库
Bokeh 0.12.10 rc2 发布，Python 交互式可视化库
Bokeh 0.12.10 rc1 发布，Python 交互式可视化库
Bokeh 0.12.8 dev5 发布，Python 交互式可视化库
Bokeh 0.12.8 dev4 发布，Python 交互式可视化库
Bokeh 0.12.7 正式版发布，Python 交互式可视化库
Bokeh 0.12.7 rc1 发布，Python 交互式可视化库
Bokeh 0.12.7 dev17 发布，Python 交互式可视化库
Bokeh 0.12.7 dev13 发布，Python 交互式可视化库
Bokeh 0.12.7 dev12 发布，Python 交互式可视化库
Bokeh 0.12.7 dev11 发布，Python 交互式可视化库