IntSlider#

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import panel as pn

pn.extension()

The IntSlider widget allows selecting selecting an integer value within a set bounds using a slider.


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 (int): The selected value as an int type
    • 

  • value_throttled (int): The selected value as a int type 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
    • 

  • format (str, bokeh.models.TickFormatter): Formatter to apply to the slider value
    • 

  • 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_slider = pn.widgets.IntSlider(name='Integer Slider', start=0, end=8, step=2, value=4)

int_slider







            
            
The IntSlider value is returned as a integer and can be accessed and set like any other widget:


int_slider.value





4


A custom format string or bokeh TickFormatter may be used to format the slider values:


from bokeh.models.formatters import PrintfTickFormatter

str_format = pn.widgets.IntSlider(name='Rank', format='0o', start=0, end=100)

tick_format = pn.widgets.IntSlider(name='Count', format=PrintfTickFormatter(format='%d ducks'), start=0, end=100)

pn.Column(str_format, tick_format)







            
            






Controls#


The IntSlider 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_slider.controls(jslink=True), int_slider)







            
            


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