plotly_gauge_fl()
The function plotly_gauge_fl()
is a user-defined function (UDF) that allows you to customize a plotly template to create a gauge chart.
The function accepts few parameters to customize the gauge chart and returns a single cell table containing plotly JSON. Optionally, you can render the data in an Azure Data Explorer dashboard tile. For more information, see Plotly (preview). The function accepts few parameters to customize the gauge chart and returns a single cell table containing plotly JSON. Optionally, you can render the data in a Real-Time dashboard tile. For more information, see Plotly (preview).
Prerequisite
Extract the required ‘gauge’ template from the publicly available PlotlyTemplate
table. Copy this table from the Samples database to your database by running the following KQL command from your target database:
.set PlotlyTemplate <| cluster('help.kusto.windows.net').database('Samples').PlotlyTemplate
Syntax
T | invoke plotly_gauge_fl(
value,
max_range,
mode,
chart_title,
font_color,
bar_color,
bar_bg_color,
tick_color,
tick_width)
Parameters
Name | Type | Required | Description |
---|---|---|---|
value | real | ✔️ | The number to be displayed. |
max_range | range | The maximum range of the gauge. | |
mode | string | Specifies how the value is displayed on the graph. Default is ‘gauge+number’. | |
chart_title | string | The chart title. The default is empty title. | |
font_color | string | The chart’s font color. Default is ‘black’. | |
bar_color | string | The gauge’s filled bar color. Default is ‘green’. | |
bar_bg_color | string | The gauge’s not filled bar color. Default is ’lightgreen’. | |
tick_color | string | The gauge’s ticks color. Default is ‘darkblue’. | |
tick_width | int | The gauge’s ticks width. Default is 1. |
Plotly gauge charts support many parameters, still this function exposes only the above ones. For more information, see indicator traces reference.
Function definition
You can define the function by either embedding its code as a query-defined function, or creating it as a stored function in your database, as follows:
Query-defined
Define the function using the following let statement. No permissions are required.
let plotly_gauge_fl=(value:real, max_range:real=real(null), mode:string='gauge+number', chart_title:string='',font_color:string='black',
bar_color:string='green', bar_bg_color:string='lightgreen', tick_color:string='darkblue', tick_width:int=1)
{
let gauge_chart = toscalar(PlotlyTemplate | where name == "gauge" | project plotly);
print plotly = gauge_chart
| extend plotly=replace_string(plotly, '$VALUE$', tostring(value))
| extend plotly=replace_string(plotly, '$MAX_RANGE$', iff(isnull(max_range), 'null', tostring(max_range)))
| extend plotly=replace_string(plotly, '$MODE$', mode)
| extend plotly=replace_string(plotly, '$TITLE$', chart_title)
| extend plotly=replace_string(plotly, '$FONT_COLOR$', font_color)
| extend plotly=replace_string(plotly, '$BAR_COLOR$', bar_color)
| extend plotly=replace_string(plotly, '$BAR_BG_COLOR$', bar_bg_color)
| extend plotly=replace_string(plotly, '$TICK_COLOR$', tick_color)
| extend plotly=replace_string(plotly, '$TICK_WIDTH$', tostring(tick_width))
| project plotly
};
// Write your query to use your function here.
Stored
Define the stored function once using the following .create function
. Database User permissions are required.
.create-or-alter function with (folder = "Packages\\Plotly", docstring = "Render gauge chart using plotly template")
plotly_gauge_fl(value:real, max_range:real=real(null), mode:string='gauge+number', chart_title:string='',font_color:string='black',
bar_color:string='green', bar_bg_color:string='lightgreen', tick_color:string='darkblue', tick_width:int=1)
{
let gauge_chart = toscalar(PlotlyTemplate | where name == "gauge" | project plotly);
print plotly = gauge_chart
| extend plotly=replace_string(plotly, '$VALUE$', tostring(value))
| extend plotly=replace_string(plotly, '$MAX_RANGE$', iff(isnull(max_range), 'null', tostring(max_range)))
| extend plotly=replace_string(plotly, '$MODE$', mode)
| extend plotly=replace_string(plotly, '$TITLE$', chart_title)
| extend plotly=replace_string(plotly, '$FONT_COLOR$', font_color)
| extend plotly=replace_string(plotly, '$BAR_COLOR$', bar_color)
| extend plotly=replace_string(plotly, '$BAR_BG_COLOR$', bar_bg_color)
| extend plotly=replace_string(plotly, '$TICK_COLOR$', tick_color)
| extend plotly=replace_string(plotly, '$TICK_WIDTH$', tostring(tick_width))
| project plotly
}
Example
The following example uses the invoke operator to run the function.
Query-defined
To use a query-defined function, invoke it after the embedded function definition.
let plotly_gauge_fl=(value:real, max_range:real=real(null), mode:string='gauge+number', chart_title:string='',font_color:string='black',
bar_color:string='green', bar_bg_color:string='lightgreen', tick_color:string='darkblue', tick_width:int=1)
{
let gauge_chart = toscalar(PlotlyTemplate | where name == "gauge" | project plotly);
print plotly = gauge_chart
| extend plotly=replace_string(plotly, '$VALUE$', tostring(value))
| extend plotly=replace_string(plotly, '$MAX_RANGE$', iff(isnull(max_range), 'null', tostring(max_range)))
| extend plotly=replace_string(plotly, '$MODE$', mode)
| extend plotly=replace_string(plotly, '$TITLE$', chart_title)
| extend plotly=replace_string(plotly, '$FONT_COLOR$', font_color)
| extend plotly=replace_string(plotly, '$BAR_COLOR$', bar_color)
| extend plotly=replace_string(plotly, '$BAR_BG_COLOR$', bar_bg_color)
| extend plotly=replace_string(plotly, '$TICK_COLOR$', tick_color)
| extend plotly=replace_string(plotly, '$TICK_WIDTH$', tostring(tick_width))
| project plotly
};
plotly_gauge_fl(value=180, chart_title='Speed', font_color='purple', tick_width=5)
| render plotly
Stored
plotly_gauge_fl(value=180, chart_title='Speed', font_color='purple', tick_width=5)
| render plotly
Output
The output is a Plotly JSON string that can be rendered in an Azure Data Explorer dashboard tile. For more information on creating dashboard tiles, see Visualize data with Azure Data Explorer dashboards. The output is a Plotly JSON string that can be rendered in a Real-Time dashboard tile. For more information on creating dashboard tiles, see Real-Time dashboards.
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