how to inspect trend data in GOM Inspect? how to show value on it?

[[Zh...]]

question.one.pdf

[[Na...]]

Hello,

this label is really just a small and simple preview to get an idea about the results over the stages. There is no direct way to show the values next to the data points. You can see more information with the 'Diagram' or 'Inspection Details' tab in the 3D views.

[[Mi...]]

Hi there,

is it possible then to display just the values piece by piece in a multi-stage project? Which keyword should I use to it? "Deviaton" shows only the actually selected stage result. I do not need statistical values just the (in this case) 7 deviation in a label/table.

[[Na...]]

Easiest solution would be the 'Table' tab in the 3D view -> 'Statistics RPS' table. It will show the values for every stage.

[[De...]]

you can customize the label & add a "Current Stage" 




not sure if this will work, Trend +.json but attached is the json definition  for that label, you can probably edit an app, browse to the edited app folder / labels, drop in the .json, then run 
gom.script.sys.update_addon_database()
in the script editor

...although i'm on v2025 and looks like you're using... v7? 😃 
anyways, hopefully it helps!

[[Mi...]]

Thank you for the answers!

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 I am using 2023 SP5. I know to edit the label and add the deviation value of the current stage. Anyway thank you for your effort.

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 I also know about this table. The final goal with this report is a "PiWeb style" report page: 3D view with labels including a table numerically showing the deviation values of the points for the selected stages.

Thank you but the suggested methods leads to a different visual result.

Edited February 9

[[De...]]

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 - not sure if you can upgrade to 2025, but sounds like you're after a custom diagram 
https://zeiss.github.io/zeiss-inspect-app-api/2025/howtos/using_scripted_diagrams/using_scripted_diagrams.html
"Abstract: Scripted diagrams allow visualization of any kind of data available within ZEISS INSPECT in any diagram style provided by Python packages like Matplotlib or user-defined code."