So in this simple code the line

```
result[columnNumber] = column #this assignment fails for some reason!

```

fails, and specifically it simply assigns array of zeroes instead of what it is supposed to assign, and I have no idea why! So this is the full code:

```
    """Softmax."""

scores = [3.0, 1.0, 0.2]

import numpy as np

def softmax(x):
    """Compute softmax values for each sets of scores in x."""
    data=np.array(x)
    columnNumber=0
    result=data.copy()
    result=result.T

    for column in data.T:
        sumCurrentColumn=0
        try: #Since 'column' can potentially be just a double,and sum needs some iterable object
            sumCurrentColumn=sum(np.exp(column))
        except TypeError:
            sumCurrentColumn=np.exp(column)

        column=np.divide(np.exp(column),sumCurrentColumn)
        print(column)
        print('before assignment:'+str(result[columnNumber]))
        result[columnNumber] = column #this assignment fails for some reason!
        print('after assignment:'+str(result[columnNumber]))
        columnNumber+=1 

    result=result.T

    return result

scores = np.array([[1, 2, 3, 6],
                   [2, 4, 5, 6],
                   [3, 8, 7, 6]])

print(softmax(scores))

```

and this is its output:

```
   [ 0.09003057  0.24472847  0.66524096]
before assignment:[1 2 3]
after assignment:[0 0 0]
[ 0.00242826  0.01794253  0.97962921]
before assignment:[2 4 8]
after assignment:[0 0 0]
[ 0.01587624  0.11731043  0.86681333]
before assignment:[3 5 7]
after assignment:[0 0 0]
[ 0.33333333  0.33333333  0.33333333]
before assignment:[6 6 6]
after assignment:[0 0 0]
[[0 0 0 0]
 [0 0 0 0]
 [0 0 0 0]]

```