def entropyWeights(arr):
    m, n = arr.shape
    p = np.zeros((m, n))
    e = []
    w = []
    for i in range(m):
        for j in range(n):
            p[i][j] = arr[i, j] / sum(arr[:, j])

    for j in range(n):
        sum_e = 0
        for row in range(m):
            if p[row, j] == 0:
                val = 0
            else:
                val = p[row, j] * math.log(p[row, j])
            sum_e = sum_e + val
        e.append((-1) * sum_e / math.log(m))

    for element in e:
        subtraction = sum((np.ones(len(e)) - e)[:])
        w.append((1 - element) / subtraction)

    return w