Convert negative values to zero in timetable

I have a timetable that has 4 columns that are Date, NOConc, NO2Conc, NOxConc. I want to convert any negative numbers in the NOConc column to zero. The S function pulls the data from the larger timetable, TN_1, for a specific time range that I'm looking at (in this case 5/11/2022 - 5/18/2022) and makes the new timetable labeled Holly_NOx, with a variable amount of rows depending on the given date range. This code is the closest I've gotten, but it gives me the error "A variable index must be a real positive integer." I've seen some people say matlab wont allow indexing of negative integers, which would make what I'm trying to do impossible. Thanks!!
S = timerange('5/11/2022' , '5/18/2022', 'days');
Holly_NOx = TN_1(S,:);
if Holly_NOx.(Holly_NOx.NO2Conc) > 0
Holly_NOx.(Holly_NOx.NO2Conc) = 0;
end

 採用された回答

Voss
Voss 2022 年 6 月 9 日
編集済み: Voss 2022 年 6 月 9 日

0 投票

% a timetable with 3 data columns:
Holly_NOx = timetable(datetime(now+(-29:-22),'ConvertFrom','datenum').', ...
randn(8,1),randn(8,1),randn(8,1), ...
'VariableNames',{'NOConc' 'NO2Conc' 'NOxConc'});
disp(Holly_NOx);
Time NOConc NO2Conc NOxConc ____________________ ________ ________ _________ 11-May-2022 20:36:01 0.56796 1.792 0.34045 12-May-2022 20:36:01 0.71024 -0.44977 2 13-May-2022 20:36:01 -0.98089 -0.96963 -1.1307 14-May-2022 20:36:01 -1.2461 1.1944 -0.14942 15-May-2022 20:36:01 0.32287 -0.67921 0.20059 16-May-2022 20:36:01 -0.98689 2.5576 1.0473 17-May-2022 20:36:01 -1.219 1.117 1.023 18-May-2022 20:36:01 0.82632 -1.0433 -0.033351
% replace negative values in NOConc column of Holly_NOx with 0:
Holly_NOx.NOConc(Holly_NOx.NOConc < 0) = 0;
disp(Holly_NOx);
Time NOConc NO2Conc NOxConc ____________________ _______ ________ _________ 11-May-2022 20:36:01 0.56796 1.792 0.34045 12-May-2022 20:36:01 0.71024 -0.44977 2 13-May-2022 20:36:01 0 -0.96963 -1.1307 14-May-2022 20:36:01 0 1.1944 -0.14942 15-May-2022 20:36:01 0.32287 -0.67921 0.20059 16-May-2022 20:36:01 0 2.5576 1.0473 17-May-2022 20:36:01 0 1.117 1.023 18-May-2022 20:36:01 0.82632 -1.0433 -0.033351
% or replace negative values in *any* column of Holly_NOx with 0:
Holly_NOx{:,:}(Holly_NOx{:,:} < 0) = 0;
disp(Holly_NOx);
Time NOConc NO2Conc NOxConc ____________________ _______ _______ _______ 11-May-2022 20:36:01 0.56796 1.792 0.34045 12-May-2022 20:36:01 0.71024 0 2 13-May-2022 20:36:01 0 0 0 14-May-2022 20:36:01 0 1.1944 0 15-May-2022 20:36:01 0.32287 0 0.20059 16-May-2022 20:36:01 0 2.5576 1.0473 17-May-2022 20:36:01 0 1.117 1.023 18-May-2022 20:36:01 0.82632 0 0
% another way to replace all negative values with 0:
Holly_NOx{:,:} = max(0,Holly_NOx{:,:});
disp(Holly_NOx);
Time NOConc NO2Conc NOxConc ____________________ _______ _______ _______ 11-May-2022 20:36:01 0.56796 1.792 0.34045 12-May-2022 20:36:01 0.71024 0 2 13-May-2022 20:36:01 0 0 0 14-May-2022 20:36:01 0 1.1944 0 15-May-2022 20:36:01 0.32287 0 0.20059 16-May-2022 20:36:01 0 2.5576 1.0473 17-May-2022 20:36:01 0 1.117 1.023 18-May-2022 20:36:01 0.82632 0 0

7 件のコメント

Voss
Voss 2022 年 6 月 9 日
("Answer" from @Kaiya Shealy moved here:)
This works!! Thank you very much!
Voss
Voss 2022 年 6 月 9 日
編集済み: Voss 2022 年 6 月 9 日
You're welcome! Any questions, let me know.
Kaiya Shealy
Kaiya Shealy 2022 年 6 月 9 日
After running the code a few times, each time it gives different values in the Holly_NOx table, any reason why or any fix?
Voss
Voss 2022 年 6 月 9 日
The code here is generating a timetable with random data, and then showing a few ways to replace negative data in the table - either in one column or all columns. You should pick the command you want to use and apply it to your table, i.e., don't create the random data each time, which was only for demonstration.
Kaiya Shealy
Kaiya Shealy 2022 年 6 月 9 日
Gotcha, thank you again!
Voss
Voss 2022 年 6 月 9 日
You're welcome! Any other questions, let me know.
Peter Perkins
Peter Perkins 2022 年 6 月 13 日
Voss gets points for using braces on a table to modify the values. For more context on that, see the Arithmetic on Table Variables section of this example from the doc.
Another way to do this would be
Holly_NOx = varfun(@(x)max(x,0),Holly_NOx);
For large timetables, that's likely to be faster.

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