DataTable #īokeh provides a sophisticated data table widget. More information can be found in the reference guide entry for DataTable. The AutocompleteInput widget is a general-purpose text input widget that usesĪ list of possible inputs to provide autocomplete while typing.įrom bokeh.io import show from bokeh.models import ( ColumnDataSource, DataCube, GroupingInfo, StringFormatter, SumAggregator, TableColumn ) source = ColumnDataSource ( data = dict ( d0 =, d1 =, d2 =, px =, )) target = ColumnDataSource ( data = dict ( row_indices =, labels = )) formatter = StringFormatter ( font_style = 'bold' ) columns = grouping = ), GroupingInfo ( getter = 'd1', aggregators = ), ] cube = DataCube ( source = source, columns = columns, grouping = grouping, target = target ) show ( cube ) YouĬan see this output in your browser’s JavaScript console log. Many of theĮxamples produce print output using the JavaScript console.log function. The sections below are examples for all widgets available in Bokeh. See UI elements supporting tooltips for more information about adding Hover over the question mark icon next to “Choose values” to see the tooltip. Information about the widget’s purpose or use, for example. ''' Use the bokeh serve command to run the example by executing: bokeh serve demo.py at your command prompt.
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Save this code as 'demo.py', run it via bokeh serve demo.py and check out how it works. This can be helpful to provide additional Here is an example that will help illustrate what the callback is doing. AutocompleteInput The AutocompleteInput widget is a general-purpose text input widget that uses a list of possible inputs to provide autocomplete while typing. Many of the examples print output that can be observed by looking at your browser’s JavaScript console log. This allows you to use callbacksĪdditionally, since the visualization itself is displayed in a browser, you The sections below are examples for all widgets available in Bokeh. If you want to use widgets in connection with a Bokeh server, the serverĬan handle some interactivity. You can write your own Javascript code, or use Bokeh’s pre-defined Pythonįunction or a SetValue object which generate the HTML document, the browser needs to handle all interactivity. If you want to use widgets to interact with Bokeh objects in a standalone Which one to use depends on whether you are usingīokeh server or are generating standalone HTML output: Interactively manipulate data and properties of objects in your visualization.īokeh uses callbacks to handle these interactions. While some widgets are only meant to display data, others can be used to You can create your ownĬustom widgets, or wrap different third party widget libraries by creatingĬustom extensions as described in Custom extensions.
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Widgets canīe added directly to the document root or be nested inside a layout.Ĭan use to drive new computations, update plots, and connect to otherīokeh provides a simple default set of widgets. Widgets are interactive control and display elements that can be added to Bokehĭocuments to provide a front end user interface to a visualization.
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