def calculate_entropy()

in analyzer.py [0:0]

• 9 lines of code
• 4 McCabe index (conditional complexity)

def calculate_entropy(data):
    if len(data) == 0:
        return 0.0
    
    entropy = 0.0
    
    for x in range(256):
        p_x = float(data.count(x))/len(data)
        if p_x > 0:
            entropy += - p_x*math.log(p_x, 2)

    return entropy