Transformations: Add empty values options to Transpose (#108421)

* Extract functions to util and utilize in both transforms * Fix mistaken label and add better null logic to transpose * Add a new row and add a blurb to docs about the new setting * Update public/app/features/transformers/docs/content.ts Co-authored-by: Isabel Matwawana <76437239+imatwawana@users.noreply.github.com> * Update docs content, simplify null logic * Add test, clarify empty logic --------- Co-authored-by: Isabel Matwawana <76437239+imatwawana@users.noreply.github.com>
2025-08-04 07:53:26 -05:00
parent 50ead8d463
commit 0dfcaf56d3
10 changed files with 139 additions and 87 deletions
@@ -1465,7 +1465,7 @@ For each generated **Trend** field value, a calculation function can be selected
 ### Transpose

 Use this transformation to pivot the data frame, converting rows into columns and columns into rows. This transformation is particularly useful when you want to switch the orientation of your data to better suit your visualization needs.
-If you have multiple types it will default to string type.
+If you have multiple types, it will default to string type. You can select how empty cells should be represented.

 **Before Transformation:**