how to read a .mat file into table

I have a data: [5 x 3000 double] data.mat file tracking robot movements for 3000 iterations.

The variables are:

data = [

x

y

theta

u1

u2

]

I did

S = load('data.mat');

S

disp(S)

in a livescript but don't get a nice spreadsheet or table to view the data.

I am familiar with Pandas for Python.

How can I display this data so the rows are variables and columns are iterations 1 to 3000.

[Stephen23]

S = load('data.mat');
S.data

Answer 1

[Star Strider]

The struct2table function could be helpful.

[Nobutaka Kim]

This is sweet.

[Star Strider]

Thank you!

I intend that as a follow-on to the procedure in Load List of Variables into Structure Array.

.

Answer 2

[Benjamin Thompson]

Are you trying to transpose the data display? transpose(S.data) or use the apostrophe transpose operator, S.data'

[Nobutaka Kim]

S.data shown by @Stephen worked but I wish I could get row and column headings and have it appear full screen size, scrollable, etc.

I have worked quite a bit with Pandas and Matplotlib in Python but is there anything similar?

[Benjamin Thompson]

App Designer supports a table display. You can also find your workspace variable in the workspace variables list, right click it, and "view" or "display" it to see all its contents.

[Nobutaka Kim]

@Benjamin Thompson, transpose worked great for now as I get numbered rows for iterations of the simulation.

Still cannot figure out how to put column headings though.

[Stephen23]

"Still cannot figure out how to put column headings though."

As Star Strider wrote, you should take a look at STRUCT2TABLE

And also double click on the variable in the workspace to open the variable viewer.

[Nobutaka Kim]

I get it. Make a struct using slice syntax for the rows of the data.m, put the labels for the struct and then call the struct2table(). Thanks, I did that workspace way too.