iterate through the dict_values while unpacking the dictionary

[PeacockOpenminded]

I have trouble with iterating through dict_values, while unpacking the dictionary.

I have a dictionary which contains 2 arrays, a and b:

a = 
np.array([[3, 1, 3, 2],
       [1, 3, 3, 1],
       [1, 1, 3, 1],
       [1, 2, 2, 3]])
b = 
np.array([[1, 2, 4, 3],
       [1, 3, 4, 3],
       [2, 4, 4, 2],
       [2, 2, 2, 4]])
dic = {"arr1": a, "arr2": b}

I want to scale the values of a and b on a scale of 0 to 1 range.
I wrote a function for that and want to iterate it over the arrays, and at the end, I want to get the dictionary including the arrays with values between 0 to 1.

def NormalizeData(i):
    return (i - np.nanmin(i)) / (np.nanmax(i) - np.nanmin(i))

for i in dic.values():
     NormalizeData(i)
     print(i)

but this function (NormalizeData) doesn't do anything.

I'd appreciate for any suggestions why my current code does not work.

[deanhystad]

NormalizeData does something. You ignore the results. Try using the returned value.

[prvncpa]

Yes, ignore the results and try to use the value returned.

[PeacockOpenminded]

NormalizeData does something. You ignore the results. Try using the returned value.

Yes it indeed did something! thank you so much for pointing it out.

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NormalizeData does something. You ignore the results. Try using the returned value.

Thank you! problem solved :)

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Yes, ignore the results and try to use the value returned.

Thank you! problem solved :)