def normalized(vec):
    data_array = np.array(vec)
    min_value = np.min(data_array)
    max_value = np.max(data_array)
    normalized_data = (data_array - min_value) / (max_value - min_value)
    return normalized_data

import numpy as np
data = [1, 2, 3, 4, 5]
data_array = np.array(data)
min_value = np.min(data_array)
max_value = np.max(data_array)
normalized_data = (data_array - min_value) / (max_value - min_value)
print(normalized_data)