![]() ![]() ![]() If this again hits the limit, having the step = 1 and yet pointing right "behind" the format-specific limit, your sheet-under-review contains data until its last row ( finishing on the format-specific "edge" ).īut once the target cell is empty/NaN, stop the forward-stepping phase and start a standard back-stepping phase by halving the interval between a found/failed ( empty ) cell aFirstEmptyROW = aRowToTEST and the last known cell at aLastNonEmptyROW, that contained number.Īgain, if a cell under test contained a fair value, move the aLastNonEmptyROW-boundary to aRowToTEST value, if not, move the same way aFirstEmptyROW-boundary.įinally set aBackSteppingSTEP = ( aFirstEmptyROW - aLastNonEmptyROW )/2 aRowToTEST = aFirstEmptyROW - aBackSteppingSTEP. In case aRowToTEST points "behind" the format-specific maximum row number, set aRowToStartFROM = aLastNonEmptyROW and reset the forward-stepping distance aRowNumberDistanceToTEST = 1 to continue forward-stepping iterations with a doubling-step stepping. The "blind" black-box approach would be to first test the boundary of the contiguous area, where your data is present - use any feasible iterator, first forward-stepping by doubling a blind-test step-distance of a tested cell alike aRowToTEST = ( aRowToStartFROM + aRowNumberDistanceToTEST ) and in case the tested cell contains a number, set aLastNonEmptyROW = aRowToTEST double the aRowNumberDistanceToTEST and repeat. Still, how to approach the task efficiently and future-proof? Excel, ASCII/Binary (using Import Wizard filters), HTML, JSON, MATLAB, Origin Projects. This syntax is supported only on Windows systems with Excel software. Colormap represents data density computed using a fast algorithm. Select the worksheet, drag and drop the mouse over the range you want, The maximum one can use under direct MATLAB support is to: _ = xlsread(filename,-1) opens an Excel window to interactively select data. MATLAB does not have either documented or undocumented feature for doing this directly. ![]()
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