Exchange of Multi-Dimensional Arrays between FlexSim and Python

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Ulrich B2 asked Aug 26 2022 at 3:42 AM Ulrich B2 published Aug 26 2022 at 11:14 AM

Exchange of Multi-Dimensional Arrays between FlexSim and Python

Hello,

is there a way to exchange of Multi-Dimensional Arrays between FlexSim and Python?

I have only managed to pass 1-Dim Arrays to my py script, returning a list greater then 1-Dim back to FlexSim results in a Null-Object.

Thank you!

Uli

Software Version:

FlexSim 22.2.1

python arrays

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Answer 1 · 2022-08-26T07:12:59Z

Ulrich B2 answered Aug 26 2022 at 7:12 AM Ralf Gruber commented Aug 26 2022 at 8:55 AM

Hello,

this seems to work:

Table tab = Table("MyGlobalTable");
Array arr = tab.clone();
var outVarArray = node("MODEL:/Tools/UserCommands/callPyFnc_getTable/code").evaluate(arr);
print(arr, " --> Return from Python --> ", outVarArray);

The only thing to consider: integers arrive as floats on python side, therefore, if used for e.g. indexing, these have to be casted to integer's

Thanks,

Uli

· 1

Answer 2 · 2022-08-26T11:14:27Z

Ulrich B2 answered Aug 26 2022 at 11:14 AM Ulrich B2 published Aug 26 2022 at 11:14 AM

It seems like if FlexSim <-> Python conversions are "string" centric.

Passing back a dictionary with a Two-Dimensional Array as value is possible by setting the value as a string representation of the array:

def getTable(arrayFromFlexSim):  
    arr = np.array(arrayFromFlexSim)
    seq = dict()     
    for i in range(0, 3):            
        seq[i] = np.array2string(arr)
    
    return seq

The Dictionary get converted correctly to FlexSim:

Map: {
0: Array[3]: {Array[5]: {1,1,0,1,1},Array[5]: {1,0,0,1,1},Array[5]: {1,1,1,1,2}}, 
1: Array[3]: {Array[5]: {1,1,0,1,1},Array[5]: {1,0,0,1,1},Array[5]: {1,1,1,1,2}}, 
2: Array[3]: {Array[5]: {1,1,0,1,1},Array[5]: {1,0,0,1,1},Array[5]: {1,1,1,1,2}}
}

If the 2-Dim Array is not converted to its string representation, the conversion result on FlexSim side will fail:

Map: {0: NULL, 1: NULL, 2: NULL}

Just in case someone might get trapped here too. :)

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