IntSlider#
Download this notebook from GitHub (right-click to download).
import panel as pn
pn.extension()
The IntSlider
widget allows selecting selecting an integer value within a set bounds using a slider.
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 boundend
(int): The range’s upper boundstep
(int): The interval between valuesvalue
(int): The selected value as an int typevalue_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 valuedirection
(str): Whether the slider should go from left to right (‘ltr’) or right to left (‘rtl’)disabled
(boolean): Whether the widget is editableformat
(str, bokeh.models.TickFormatter): Formatter to apply to the slider valuename
(str): The title of the widgetorientation
(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)
Download this notebook from GitHub (right-click to download).