Round the elements column of the matrix to the same digit than it is in the other column

조회 수: 3 (최근 30일)
I round elements one of column of matrix to 2 significant digits:
Result(:,5) = round(Result(:,5),2,'significant');
I wold like to round the elements another column of the same matrix to exactly same digits than it is in 'significant' digit column.
Is there any way to read back the number of digits from the 'significant' digit column to use it in other column?

채택된 답변

Matt J
Matt J 2021년 7월 14일
편집: Matt J 2021년 7월 14일
One way,
Result(:,5) = round(Result(:,5),2,'significant');
numDigits=strlength(extractAfter(string(Result(:,5)),'.'));
numDigits(isnan(numDigits))=0
  댓글 수: 7
Matt J
Matt J 2021년 7월 14일
Thank you, now it works.
You are welcome, but please Accept-click the answer to indicate so.
Is it possible to format the number to N digits to the right of the decimal point, delete the unnecessary zeros.
Only if the array is converted to a string. If you plan to work with Result as numeric data, the only control you have over how it is displayed is through the format() command.
Laszlo Sleisz
Laszlo Sleisz 2021년 7월 15일
I think in this case I should use Cell array, because as I know not possible to create one matrix with different data type.

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추가 답변 (1개)

Stephen23
Stephen23 2021년 7월 15일
S = 2;
A = 32*rand(5,7)-13
A = 5×7
-8.9001 -12.7270 9.5712 14.7717 6.2782 3.5775 10.7267 16.4892 2.1012 12.5711 0.2720 8.0913 -11.5669 -9.3372 -5.9647 -12.7967 3.1765 5.9842 12.7080 15.4362 -4.9144 -8.0932 -12.6045 6.2981 14.2722 -9.1178 8.2538 -3.3988 15.7385 0.4380 2.9713 -6.0512 2.5839 -9.1609 -4.6357
round(A(:,5),S,'significant') % for comparison
ans = 5×1
6.3000 8.1000 13.0000 -9.1000 2.6000
P = S-1-floor(log10(abs(A(:,5))));
B = round(A.*10.^P)./(10.^P)
B = 5×7
-8.9000 -12.7000 9.6000 14.8000 6.3000 3.6000 10.7000 16.5000 2.1000 12.6000 0.3000 8.1000 -11.6000 -9.3000 -6.0000 -13.0000 3.0000 6.0000 13.0000 15.0000 -5.0000 -8.1000 -12.6000 6.3000 14.3000 -9.1000 8.3000 -3.4000 15.7000 0.4000 3.0000 -6.1000 2.6000 -9.2000 -4.6000

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