How to change the Appearance of a visualization in Spotfire® using IronPython Scripting

This sample articles demomstrates how to change the appearance of a visualization via IronPython scripting. Lets take a Line chart as an example and the other charts would follow the similar approach. Listed down are the API references for the other visualization types.

Introduction

This sample articles demonstrates how to change the appearance of a visualization via IronPython scripting. Lets take a Line chart as an example and the other charts would follow the similar approach. Listed down are the API references for the other visualization types.

Code Sample

# Copyright © 2017. TIBCO Software Inc. Licensed under TIBCO BSD-style license.

from Spotfire.Dxp.Application.Visuals import *
#viz is a linechart visualization parameter
vis = viz.As[LineChart]()

#Changing LineWidth-Allowed values are 1-10
vis.LineWidth=3

#Changing Transparency -Valid values are in the range [0.0, 1.0]
vis.Transparency=vis.Transparency+0.01

vis.ShowMarkers=True
#Changing MarkerSize -Allowed values are 1-100
vis.MarkerSize=vis.MarkerSize+1

#Other available Properties
vis.SteppedLines=True
vis.BreakOnEmpty=True
vis.UseSeparateColorForMarkedItems = True
vis.CompensateForMissingTimeSeriesValues=True

Similarly, the Appearance can be changed for the other visualization plots. Here are the API references listed:

Parallel Co-ordinate Plot

Box Plot