Could someone know how to display a PI Point Array data onto PI Vision? I'd appreciate it if you let me know that. Thank you in advance.
I would suggest some kind of custom symbol to manage what you are trying to do :
But it will be a long way to go...
I assume you have a specific use case that prevents from spliting PI points instead of using a PI Point array, and display them in a simple table as usual ?
Please share if you think it is relevant for our understanding.
Thank you for your response. Frankly speaking, I'm gonna take a look at various types of data such as near infrared spectra, particle size distribution of powder etc. on PI Vision (we can look at particle distribution soon). But, I don't know what will be the best case to visualize it, because the data are multivariate one whose time-evolution profile it is difficult to see.
So, I have problems:
If you have any good cases to introduce, I would like to know that.
For the particle size distribution, you could use an event-weighted histogram :
Check my demo of a custom symbol I made : PI Vision - Custom Symbol - Histogram - YouTube
(specific development required)
For the data correlation between 2 variables, you can use the native XY Plot symbol.
You can even merge several correlation sets in the same graph :
None of the PI Visualisation tools are good at working with AF attribute arrays!
Arrays in PI AF has historically been present to support using AF as the data store for custom applications, where arrays are more commonly used. Not even AF itself has had many features to provide when it comes to arrays, but in 2018 the AF Analyses function library was expanded with some extra functions to handle arrays.
As Cédric Canguilhem has explained above you can easily make use of attribute arrays in custom visualisations or applications, but you are better off redesigning your AF attributes into child attributes instead of using arrays if you want to visualise this with standard PI Vision functionality.
I'm not sure if a heat map view is the exact way you want to look at spectral data, but the ideas here could be helpful in developing your own custom symbol.
Create your own custom symbol in PI Vision for heat-maps or profile analysis
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