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Should i use timestamp or cluster?

Hi All,

I am analysing data that has a very small delta t - 4ns and the corresponding graphs are quite short. In the example that i have attached i have generated some random data and i am selecting some of the data. I want to over lay the selected data on the original data so that you can see what you've selected. Currently i am using a cluster to define the delta t and the start point for the graph. I have tried to use the waveform data type but as you will see it doesn't show up very well (i have told the graph to use the timestamp info - if i don't then the selected data doesn't appear at the right place on the graph). You can tell the x axis to not auto scale but it doesn't show the time, just 0.000 - is that the lower limit for timestamp?

Is it good programming practice to use the cluster data time as in the example?

Regards, Phil.
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Hi Phil,

what you should do is right click on the graph, select properties. In the second tab (Format and Precision) you can specifiy the details about the display of the ax.  I think you should use relative time with more digits OR use a custom formatting (advanced editing mode) for instance %<%S%10u>t

Ton
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Thanks for that Ton,

I suspected that that might be the case. Is is bad practice to use the cluster route?

Phil
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Hi,

  the cluster method is the way you do the plot to the graph, so it's definitely NOT a bad thing so that you have the correct timestamp and dt information.

Thanks

Sacha Emery
National Instruments (UK)

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