Tags are lost after data table refresh in TIBCO Spotfire

Tags are lost after data table refresh in TIBCO Spotfire

Tags are used to group data rows in a data table by attaching tags to rows. For example, if you want to gather the top 100 values into a common category, or to split results into categories like "Good", "OK", and "Bad" where you decide the boundaries: 
This behavior is as designed. Tags are specifically used for the same data set i.e. whose underlying data rows tagged are not expected to change. When a new data set is populated in a data table containing tags, tags would be lost. To workaround this scenario, you can use either of the following approaches:

Option 1: Use Lists
Use Lists instead of Tags whose values do not change whether data sets change or not. See documentation on Lists for more information.

Whenever you want to update the list of values stored in the document property, just perform step 1 again.  Doc: What are tags?

• https://docs.tibco.com/pub/sfire-analyst/10.3.0/doc/html/en-US/TIB_sfire-analyst_UsersGuide/tags/tags_what_are_tags.htm

Doc: What are Lists?

• https://docs.tibco.com/pub/sfire-analyst/10.3.0/doc/html/en-US/TIB_sfire-analyst_UsersGuide/lists/lists_what_are_lists.htm

Wiki: How to tag marked rows in TIBCO Spotfire® using IronPython Scripting

• https://community.tibco.com/wiki/how-tag-marked-rows-using-tibco-spotfire-using-ironpython-scripting

Wiki: Retrieve data marking selection

• https://community.tibco.com/wiki/how-retrieve-data-marking-selection-using-ironpython-tibco-spotfire

KB: Tags and markings are not retained from one session to the next

• https://support.tibco.com/s/article/Tibco-KnowledgeArticle-Article-42016