Create table array t by calling the readtable function to read data from a file. Select four variables and 15 rows from t.

t = readtable('patients.xls');
vars = {'Age','Systolic','Diastolic','Smoker'};
t = t(1:15,vars);

Create a table UI component, and specify t as the data.

fig = uifigure;
uit = uitable(fig,'Data',t);

First, create a program file called tsunamisData.m. Within the program file:

function tsunamisData
t = readtable('tsunamis.xlsx');
vars = {'Year','MaxHeight','Latitude','Longitude'};
t = t(1:20,vars);

fig = uifigure;
fig.Position(3:4) = [822 360];

uit = uitable(fig);
uit.Data = t;
uit.ColumnSortable = [false true true true];
uit.ColumnEditable = true;
uit.Position(3) = 375;
uit.DisplayDataChangedFcn = @updatePlot;

ax = uiaxes(fig);
ax.Position(1) = 415;
ax.YLabel.String = 'Max Height';
x = t.Year;
y = t.MaxHeight;
area(ax,x,y)

    function updatePlot(src,event)
        t = uit.DisplayData;
        x = t.Year;
        y = t.MaxHeight;
        area(ax,x,y)
    end

end

A sortable column displays arrows in the header when you hover your mouse over it. Find a sortable column and sort the table. Notice how the displayed data and the plot update after sorting.

Style cells in a table UI component that contain missing values. In this case, add a yellow background color style to cells that have NaN values.

Read tsunami sample data into the workspace as a table array. Then, create a table UI component to display the data.

tdata = readtable('tsunamis.xlsx');
vars = {'Year','Month','Day','Hour', ...
        'MaxHeight','Cause','EarthquakeMagnitude'};
tdata = tdata(1:100,vars);

fig = uifigure('Position',[500 500 750 350]);
uit = uitable(fig);
uit.Position = [20 20 710 310];
uit.Data = tdata;
uit.RowName = 'numbered';

Use the ismissing function to get a logical array of the table elements that contain missing values. Find the row and column subscripts for the elements that have NaN values. Finally, create a yellow background color style and add it to the cells with NaN values in the table UI component.

styleIndices = ismissing(tdata);
[row,col] = find(styleIndices);

s = uistyle('BackgroundColor','yellow');
addStyle(uit,s,'cell',[row,col]);

Create a table UI component that displays a 10-by-3 array of random integers. The Data property specifies the values to display, and the Position property specifies the location and size of the table within the figure.

f = figure;
uit = uitable(f,'Data',randi(100,10,3),'Position',[20 20 262 204]);

Create an empty Table UI component.

f = figure;
uit = uitable(f);

Set the Data property to populate the data as a cell array that contains a mixture of different types. Then set the Position property to adjust the location and size of the table to fit the data.

d = {'Male',52,true;'Male',40,true;'Female',25,false};
uit.Data = d;
uit.Position = [20 20 258 78];

Set the ColumnName property to change the column headings to descriptive names. Set the ColumnEditable property to true so that users can edit the data in the UI. When a user changes a value in the UI, the Data property updates to reflect that change.

uit.ColumnName = {'Gender','Age','Authorized'};
uit.ColumnEditable = true;