Python Forum

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.

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

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

(Jan-19-2023, 01:36 PM)deanhystad Wrote: [ -> ]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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(Jan-19-2023, 01:36 PM)deanhystad Wrote: [ -> ]NormalizeData does something. You ignore the results. Try using the returned value.

Thank you! problem solved :)

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(Jan-19-2023, 01:59 PM)prvncpa Wrote: [ -> ]Yes, ignore the results and try to use the value returned.

Thank you! problem solved :)