IntRangeSlider#

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.

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#

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)

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).