IntRangeSlider#

Open this notebook in Jupyterlite | Download this notebook from GitHub (right-click to download).

import panel as pn

pn.extension()

The IntRangeSlider widget allows selecting an integer range using a slider with two handles.


Discover more on using widgets to add interactivity to your applications in the how-to guides on interactivity. Alternatively, learn how to set up callbacks and (JS-)links between parameters or how to use them as part of declarative UIs with Param.




Parameters:#


For details on other options for customizing the component see the layout and styling how-to guides.




Core#


    

  • start (int): The range’s lower bound
    • 

  • end (int): The range’s upper bound
    • 

  • step (int): The interval between values
    • 

  • value (tuple): Tuple of upper and lower bounds of the selected range
    • 

  • value_throttled (tuple): Tuple of upper and lower bounds of the selected range throttled until mouseup
    • 







Display#


    

  • bar_color (color): Color of the slider bar as a hexadecimal RGB value
    • 

  • direction (str): Whether the slider should go from left to right (‘ltr’) or right to left (‘rtl’)
    • 

  • disabled (boolean): Whether the widget is editable
    • 

  • name (str): The title of the widget
    • 

  • orientation (str): Whether the slider should be displayed in a ‘horizontal’ or ‘vertical’ orientation.
    • 

  • tooltips (boolean): Whether to display tooltips on the slider handle
    • 





int_range_slider = pn.widgets.IntRangeSlider(
    name='Integer Range Slider',
    start=0, end=10, value=(2, 8), step=2)

int_range_slider








IntRangeSlider.value returns a tuple of integer values that can be read out but cannot be set like other widgets:


int_range_slider.value





(2, 8)








Controls#


The IntRangeSlider 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(int_range_slider.controls(jslink=True), int_range_slider)










Open this notebook in Jupyterlite | Download this notebook from GitHub (right-click to download).