I need to load experimental data into scicoslab, a (pretty badly designed) clone fork of scilab which happens to support graphical modeling. The documentation on the web is pretty poor, but it's reasonably similar to scilab and octave.
The data I need to process is contained into a certain number of text files: Data_005
, Data_010
, …, Data_100
. Each of them can be loaded using the -ascii flag for the loadmatfile
command.
The problem comes from the fact that loadmatfile("foo", "-ascii")
loads the file foo.mat
into a variable named foo
. In order to to cycle on the data files, I would need to do something like:
for i = [5:5:100]
name = sprintf("Data_%02d", i);
loadmatfile(name, "-ascii");
x = read_var_from_name(name);
do_something(x);
end
where what I search for is a builtin read_var_from_name
which would allow me to access the internal symbol table by string.
Do you know if there exist a similar function?
Notes:
If you can depend on having Python >= version 3.6, then you have another attractive option, which is to use the new formatted string literal (f-string) syntax to insert variable values. An f at the beginning of the string tells Python to allow any currently valid variable names as variable names within the string.
Python variables store values in a program. You can refer to the name of a variable to access its value. The value of a variable can be changed throughout your program. Variables are declared using this syntax: name = value.
>> foo = 3.14; name = 'foo'; eval(name)
foo =
3.1400
The above works in MATLAB, and Scilab's documentation says it also has an eval
function. Not sure if I understood you correctly, though.
@arne.b has a good answer.
In your case you can also do that in matlab:
a=load('filename.mat')
x=a.('variable_name')
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With