How to call columns from table when heading names are variable dependent
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Olivia
el 26 de Feb. de 2025
Comentada: Steven Lord
el 3 de Mzo. de 2025
I am trying to loop through different columns in a data table in order to plot multiple different sensor readings into graphs. It seems I am unable to dot reference column names when said names are changing throughout the loop functions - is there any way to do this?
Here is what I have so far, which currently returns errors using tabular/dotParenReference that won't recognise my currentColumn, baseColumn or MaxColumn variable names as column headers:
% import WIM data and sensor names list to be read
data = readtable("Processed_WIM_09_2023_Data.xlsx");
sensornames = readtable('ESGSensorNames.xlsx');
% start separate plots for Gross and Axle weights
GrossWeightPlot = figure(1);
ax1 = axes('Parent', GrossWeightPlot);
ax1.Title.String = 'Gross Weight ESG Responses';
ax1.XLabel.String = 'Gross Vehicle Weight (kg)';
ax1.YLabel.String = 'ESG responses (microstrain)';
AxleWeightPlot = figure(2);
ax2 = axes('Parent', AxleWeightPlot);
ax2.Title.String = 'Axle Weight ESG Responses';
ax2.XLabel.String = 'Axle Weight (kg)';
ax2.YLabel.String = 'ESG responses (microstrain)';
hold on
% loop through WIM data entries
for i = 1:height(data)
GrossWeight = data.GrossWeight;
% find axle weight columns according to axle number
for j = 1:data.AxlesCount(i)
AxleColumn = sprintf('AxleWeight%s', j);
AxleWeight = data.currentColumn(i);
% identify sensor columns
for k = 1:height(sensornames)
currentSensor = sensornames(k);
BaseColumn = sprintf('Base_%s', currentSensor);
MaxColumn = sprinft('Max_%s', currentSensor);
% calculate strain response (max - base)
strainResponse = data.MaxColumn(i) - data.BaseColumn(i);
% set plot colour and legend label according to slab
if contains(currentSensor, '7')
plotColour = 'b';
legendLabel = 'Slab 7';
elseif contains(currentSensor, '8')
plotColour = 'r';
legendLabel = 'Slab 8';
elseif contains(currentSensor, '11')
plotColour = 'g';
legendLabel = 'Slab 11';
end
% plot strain responses against weights
GWscatter = scatter(ax1, GrossWeight, strainResponse, '.', 'Color', plotColour, 'DisplayName', legendLabel);
AWscatter = scatter(ax2, AxleWeight, strainResponse, '.', 'Color', plotColour, 'DisplayName', legendLabel);
end
end
end
hold off;
% set plot legends
legend(GWscatter);
legend(AWscatter);
I can attach screenshots of my data table if need be, although it is an extremely large file so doing this in a clear manner is proving difficult.
1 comentario
Stephen23
el 26 de Feb. de 2025
"Dot notation, as in T.varname or T.(expression), extracts an array from one table variable."
Respuesta aceptada
Fangjun Jiang
el 26 de Feb. de 2025
Editada: Fangjun Jiang
el 26 de Feb. de 2025
use data.(MaxColumn). This is similar to dynamic field names like below.
a.FirstColumn=1;
ColumnName='FirstColumn'
a.(ColumnName)
2 comentarios
Peter Perkins
el 3 de Mzo. de 2025
It's also possible to use variable indices in that syntax:
t = table([1;2;3],[4;5;6])
for i = 1:width(t)
t.(i)
end
But of course then you are not using your meaningful names.
Steven Lord
el 3 de Mzo. de 2025
Or you could use curly brace indexing to extract the contents inside a table, either with names or with indices.
t = table([1;2;3],[4;5;6])
N = t.Properties.VariableNames
for i = 1:width(t)
x = t{:, N{i}} % Use names
end
for i = 1:width(t)
x = t{:, i} % Use indices
end
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