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You can also invoke the limits command as a function, in which case it returns the current value of [xmin,xmax,ymin,ymax,flags]. The flags are bits that determine which of the limits (if any) were computed as extreme values of the data, and a few other optional features (to be mentioned momentarily). The value returned by limits as the argument to a later limits command restores the limits to a prior condition, including the settings of extreme value flags. Thus,

         // mouse zooms here locate an interesting feature
 detail1 = limits()
 unzoom   // remove effects of mouse zooms
          // mouse zooms here locate second interesting feature
 detail2 = limits()
 limits, detail1    // look at first feature again
 limits, detail2    // look at second feature again
 limits   // return to extreme values