支持使用第三方库进行数据可视化 ## Bokeh Bokeh 是一个支持创建实时交互的数据可视化库。 在 PyWebIO 会话中调用 bokeh.io.output_notebook(notebook_type='pywebio') 来设置 Bokeh 输出到 PyWebIO: from bokeh.io import output_notebook from bokeh.io import show 相应 demo 见 bokeh demo 除了创建普通图表，Bokeh 还可以通过启动 Bokeh server 来显示 Bokeh app，Bokeh app 支持向图表的添加按钮、输入框等交互组件，并向组件注册 Python 回调，从而创建可以与 Python 代码交互的图表。 在 PyWebIO 中，你也可以使用 bokeh.io.show() 来显示一个 Bokeh App，代码示例见 App，代码示例见 bokeh_app.py。 注解：Bokeh App 当前仅支持默认的 Tornado 后端  ## pyecharts pyecharts 是一个使用 Python 创建 Echarts 可视化图表的库。 在 PyWebIO 中使用

PyWebIO supports for data visualization with the third-party libraries. ## Bokeh Bokeh [https://github.com/bokeh/bokeh] is an interactive visualization library for modern web browsers. It provides You can use bokeh.io.output_notebook(notebook_type='pywebio') in the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a bokeh chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') fig = figure(...) ... show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In

PyWebIO supports for data visualization with the third-party libraries. ## Bokeh Bokeh [https://github.com/bokeh/bokeh] is an interactive visualization library for modern web browsers. It provides You can use bokeh.io.output_notebook(notebook_type='pywebio') in the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a bokeh chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') fig = figure(...) ... show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In

PyWebIO supports for data visualization with the third-party libraries. ## Bokeh Bokeh [https://github.com/bokeh/bokeh] is an interactive visualization library for modern web browsers. It provides You can use bokeh.io.output_notebook(notebook_type='pywebio') in the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a bokeh chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') fig = figure(...) ... show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In

PyWebIO supports for data visualization with the third-party libraries. ## Bokeh Bokeh [https://github.com/bokeh/bokeh] is an interactive visualization library for modern web browsers. It provides You can use bokeh.io.output_notebook(notebook_type='pywebio') in the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a bokeh chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') fig = figure(...) ... show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In

PyWebIO supports for data visualization with the third-party libraries. ## Bokeh Bokeh [https://github.com/bokeh/bokeh] is an interactive visualization library for modern web browsers. It provides You can use bokeh.io.output_notebook(notebook_type='pywebio') in the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a bokeh chart: from bokeh.io import output_notebook output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') fig = figure(...) ... show(fig) See related demo on bokeh demo [http://pywebio-charts.pywebio.online/?app=bokeh] In addition

PyWebIO supports for data visualization with the third-party libraries. ## Bokeh Bokeh [https://github.com/bokeh/bokeh] is an interactive visualization library for modern web browsers. It provides You can use bokeh.io.output_notebook(notebook_type='pywebio') in the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a bokeh chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') fig = figure(...) ... show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In

PyWebIO supports for data visualization with the third-party libraries. ## Bokeh Bokeh [https://github.com/bokeh/bokeh] is an interactive visualization library for modern web browsers. It provides You can use bokeh.io.output_notebook(notebook_type='pywebio') in the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a bokeh chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') fig = figure(...) ... show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In

PyWebIO supports for data visualization with the third-party libraries. ## Bokeh Bokeh [https://github.com/bokeh/bokeh] is an interactive visualization library for modern web browsers. It provides You can use bokeh.io.output_notebook(notebook_type='pywebio') in the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a bokeh chart: from bokeh.io import output_notebook output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') fig = figure(...) ... show(fig) See related demo on bokeh demo [http://pywebio-charts.pywebio.online/?app=bokeh] In addition

PyWebIO supports for data visualization with the third-party libraries. ## Bokeh Bokeh [https://github.com/bokeh/bokeh] is an interactive visualization library for modern web browsers. It provides You can use bokeh.io.output_notebook(notebook_type='pywebio') in the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a bokeh chart: from bokeh.io import output_notebook output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') fig = figure(...) ... show(fig) See related demo on bokeh demo [http://pywebio-charts.pywebio.online/?app=bokeh] In addition