When a python module function is called in matlab and the python function returns a tuple value, is it possible to assign each element of the tuple to a separate variable for storage?
Note: Instead of storing a return variable and then indexing out each element.
Example code:
pyenv
ans =
PythonEnvironment with properties:
Version: "3.10"
Executable: "/usr/bin/python3"
Library: "libpython3.10.so.1.0"
Home: "/usr"
Status: NotLoaded
ExecutionMode: InProcess
python module function( myModule1.py and myModule2.py in current work directory):
!unzip myModules.zip
Archive: myModules.zip
inflating: myModule1.py
inflating: myModule2.py
--------------------------------------------
# myModule1.py
def fun(a,b):
return a+b,a-b
---------------------------------------------
# myModule2.py
def fun(a,b):
return a+b,a-b
arg1 = 1
arg2 = 2
out1,out2 = fun(arg1,arg2)
---------------------------------------------
Then i do test in matlab( in current work directory):
outs = py.myModule1.fun(x,y)
outs =
Python
tuple with values:
(3.0, -1.0)
Use string, double or cell function to convert to a MATLAB array.
Obviously, the function "fun" in the above python module myModule1 successfully returns a tuple value, which contains 2 elements, but I try to save the values in the tuple in out1 and out2 below, but I get an error directly?Will this syntax be supported in future versions?
[out1,out2] = py.myModule1.fun(x,y)
No method 'py.myModule1.fun' with matching signature found.
However, with myModule2 it is possible to receive multiple parameters separately, why is that?
[out1,out2] = pyrunfile("myModule2.py",["out1","out2"])
out1 =
Python int with properties:
denominator: [1×1 py.int]
imag: [1×1 py.int]
numerator: [1×1 py.int]
real: [1×1 py.int]
3
out2 =
Python int with properties:
denominator: [1×1 py.int]
imag: [1×1 py.int]
numerator: [1×1 py.int]
real: [1×1 py.int]
-1
