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RadioButtonGroup#

Download this notebook from GitHub (right-click to download).

import panel as pn
pn.extension()

The RadioButtonGroup widget allows selecting from a list or dictionary of values using a set of toggle buttons. It falls into the broad category of single-value, option-selection widgets that provide a compatible API and include the RadioBoxGroup, Select, and DiscreteSlider widgets.

For more information about listening to widget events and laying out widgets refer to the widgets user guide. Alternatively you can learn how to build GUIs by declaring parameters independently of any specific widgets in the param user guide. To express interactivity entirely using Javascript without the need for a Python server take a look at the links user guide.

Parameters:#

For layout and styling related parameters see the customization user guide.

Core#

  • options (list or dict): A list or dictionary of options to select from

  • value (object): The current value; must be one of the option values

Display#

  • button_type (str): A button theme should be one of 'default' (white), 'primary' (blue), 'success' (green), 'info' (yellow), or 'danger' (red)

  • disabled (boolean): Whether the widget is editable

  • name (str): The title of the widget

  • orientation (str, default=’horizontal’): Button group orientation, either ‘horizontal’ or ‘vertical’.

radio_group = pn.widgets.RadioButtonGroup(
    name='Radio Button Group', options=['Biology', 'Chemistry', 'Physics'], button_type='success')

radio_group

Like most other widgets, RadioButtonGroup has a value parameter that can be accessed or set:

radio_group.value

'Biology'

Controls#

The RadioButtonGroup widget exposes a number of options which can be changed from both Python and Javascript. Try out the effect of these parameters interactively:

pn.Row(radio_group.controls(jslink=True), radio_group)
This web page was generated from a Jupyter notebook and not all interactivity will work on this website. Right click to download and run locally for full Python-backed interactivity.

Download this notebook from GitHub (right-click to download).