写一段Python代码实现WLOP算法

# WLOP算法实现
def WLOP(data):
# 定义数据框
df = pd.DataFrame(data)
# 计算每个类别的熵
entropy_list = []
for col in df.columns:
entropy_list.append(calc_entropy(df[col]))
# 计算每个类别与其他类别的互信息
mutual_list = []
for i in range(len(df.columns)):
for j in range(i+1, len(df.columns)):
mutual_list.append(calc_mutual(df.iloc[:, i], df.iloc[:, j]))
# 计算WLOP
WLOP_value = np.sum(entropy_list) - np.sum(mutual_list)
return WLOP_value