Gauge#
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import panel as pn
pn.extension('echarts')
The Gauge is a value indicator providing a visual representation of a value as a gauge or speed-o-meter. The Gauge is rendered using the ECharts library so when working in the notebook, ensure you load ‘echarts’ in pn.extension.
Parameters:#
For layout and styling related parameters see the customization user guide.
annulus_width(int, default=10): Width of the gauge annulus.bounds(tuple, default=(0, 100)): The upper and lower bound of the dial.colors(list): Color thresholds for the Gauge, specified as a list of tuples of the fractional threshold and the color to switch to.custom_opts(dict): Additional options to pass to the ECharts Gauge definition.end_angle(float or int, default=-45) Angle at which the gauge ends.formatstr(str, default=’{value}%’): Formatting string for the value indicator.num_splits(int, default=10): Number of splits along the gauge.show_ticks(boolean, default=True): Whether to show ticks along the dials.show_labels(boolean, default=True): Whether to show tick labels along the dials.start_angle(float or int, default=225): Angle at which the gauge starts.tooltip_format(str, default=’{b} : {c}%’): Formatting string for the hover tooltip.title_size(int, default=18): Size of title font.value(float or int, default=25): Value to indicate on the gauge a value within the declared bounds.
The simplest form of a Gauge just requires setting a value which must be within the bounds. The default formatter and bounds assume you are providing a percentage:
pn.indicators.Gauge(name='Failure Rate', value=10, bounds=(0, 100))
If we want to display some other value such as the revolutions per minute of an engine we can set a different bounds value and override the format. Additionally we may also provide a different set of colors defining the threshold points at which the color should change as a fraction of the provided bounds. The colors accepts a list of tuples defining the fractions and the color:
pn.indicators.Gauge(
name='Engine', value=2500, bounds=(0, 3000), format='{value} rpm',
colors=[(0.2, 'green'), (0.8, 'gold'), (1, 'red')]
)
Download this notebook from GitHub (right-click to download).