As an alternative to the automated adaptive sweep, you may perform a uniform sweep with a reasonable number of frequency samples (neither too few, nor too excessive) and then use [[EM.Cube]]'s '''Smart Fit''' utility to fit a rational approximation of arbitrary order to the generated S-parameter data.
[[Image:Info_icon.png|30px]] Click here to learn more about '''[[Defining_Simulation_Observables_Defining_Project_Observables_%26_Visualizing_Output_Data#Rational_Interpolation_of_Port_Characteristics | Rational Interpolation of Port Characteristics]]'''.
== EM.Cube Variables ==
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From the Data Manager's spreadsheet utility, you can also plot one column versus another column. To do so, select the menu item '''Plot → Cartesian''' to open the "Data File Plot" dialog. Here, too, you need to specify the independent (X) and dependent (Y) variable columns. Click the '''Plot''' button of this dialog to graph the data in EM.Grid. If you return to the "Data File Plot" dialog and repeat the same procedure for several (X,Y) column pairs, EM.Grid will overlay the plots on the same graph as shown in the figures belowwith PyPlot.
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[[Image:PARAM MAN19B.png|thumb|left|360px|The "Data File Plot" dialog of the spreadsheet for plotting BRCS vs. L.]]
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[[Image:PARAM MAN19C.png|thumb|left|360px|The "Data File Plot" dialog of the spreadsheet for plotting BRCS_Fit vs. L.]]