Dashboard Bokeh Figure

Category: Mega-Polis → Visualisation → Visualisation Data Tools
Node ID: SvMegapolisDashboardBokehFigure
Tooltip: Dashboard Bokeh Figure
Dependencies: bokeh (figure), numpy

Functionality

Creates a Bokeh figure object for dashboard visualisation workflows.

This node acts as a lightweight “figure factory”: - You choose a figure type (currently: scatter) - the node creates a bokeh.plotting.figure instance with preset parameters - the created figure is output so other nodes can add glyphs (points/lines) and later render it in a dashboard context

Inputs

This node has no input sockets.

Parameters

Name	Type	Default	Description
Figure Type (figuretype)	Enum	scatter	Selects which figure configuration is created.
width	Int	600	Width of the Bokeh figure.
height	Int	400	Height of the Bokeh figure.
title	String	Figure	Plot title.
x_axis_label	String	x	X axis label.
y_axis_label	String	y	Y axis label.

Outputs

Socket	Type	Description
Figure	SvStringsSocket	Bokeh figure object (Python object) wrapped for downstream nodes.

Example

Create a scatter figure and add points downstream

1. Add Dashboard Bokeh Figure.
2. Set:
   • Figure Type → scatter
   • width → 800
   • height → 500
   • title → My Scatter Plot
3. Connect Figure output into a downstream node that adds glyphs (e.g., scatter points from a DataFrame).
4. Render the final figure in your dashboard pipeline.

Notes / gotchas

• This node only creates the figure container. It does not plot data by itself.
• Output is a Python Bokeh figure object; downstream nodes must understand this object type.
• If you plan to render in Streamlit or a web app, ensure your environment includes Bokeh and the appropriate embedding component.