不懂，求帮助朴素贝叶斯问题

数据集


编号,色泽,根蒂,敲声,纹理,脐部,触感,密度,含糖率,好瓜
1,青绿,蜷缩,浊响,清晰,凹陷,硬滑,0.697,0.460,1
2,乌黑,蜷缩,沉闷,清晰,凹陷,硬滑,0.774,0.376,1
3,乌黑,蜷缩,浊响,清晰,凹陷,硬滑,0.634,0.264,1
4,青绿,蜷缩,沉闷,清晰,凹陷,硬滑,0.608,0.318,1
5,浅白,蜷缩,浊响,清晰,凹陷,硬滑,0.556,0.215,1
6,青绿,稍蜷,浊响,清晰,稍凹,软粘,0.403,0.237,1
7,乌黑,稍蜷,浊响,稍糊,稍凹,软粘,0.481,0.149,1
8,乌黑,稍蜷,浊响,清晰,稍凹,硬滑,0.437,0.211,1
9,乌黑,稍蜷,沉闷,稍糊,稍凹,硬滑,0.666,0.091,否
10,青绿,硬挺,清脆,清晰,平坦,软粘,0.243,0.267,否
11,浅白,硬挺,清脆,模糊,平坦,硬滑,0.245,0.057,否
12,浅白,蜷缩,浊响,模糊,平坦,软粘,0.343,0.099,否
13,青绿,稍蜷,浊响,稍糊,凹陷,硬滑,0.639,0.161,否
14,浅白,稍蜷,沉闷,稍糊,凹陷,硬滑,0.657,0.198,否
15,乌黑,稍蜷,浊响,清晰,稍凹,软粘,0.36,0.370,否
16,浅白,蜷缩,浊响,模糊,平坦,硬滑,0.593,0.042,否
17,青绿,蜷缩,沉闷,稍糊,稍凹,硬滑,0.719,0.103,否

import pandas as pd

def readfile():
    datasets = pd.read_csv(r'test.csv', encoding='utf-8')
    del datasets['编号']
    del datasets['好瓜']
    return datasets

def NaiveBayes(test):
    data = readfile()
    data = data.values.tolist()
    goodMelon = [];badMelon = []
    for i in range(len(data)):
        if data[i][9] == 1:
            goodMelon.append(data[i])
        else:
            badMelon.append(data[i])
    # 计算p(x|C1)=p1与p(x|C2)=p2
    p1 = 1.0;p2 = 1.0
    for j in range(len(test)):
        x=0.0
        for k in range(len(goodMelon)):
            if goodMelon[k][j] == test[j]:
                x = x + 1.0
        p1 = p1 * ((x + 1.0) / (len(goodMelon) + 2.0))  # 拉普拉斯平滑
    for j in range(len(test)):
        x=0.0
        for k in range(len(badMelon)):
            if badMelon[k][j] == test[j]:
                x = x + 1.0
        p2 = p2 * ((x + 1.0) / (len(badMelon) + 2.0))  # 拉普拉斯平滑
    pc1 = len(goodMelon) / len(data)
    pc2 = 1 - pc1
    #贝叶斯公式
    p_good = p1*pc1;p_bad=p2*pc2
    if p_good > p_bad:
        print('好瓜')
    else:
        print('坏瓜')

if __name__ == '__main__':
    test=['青绿','蜷缩','浊响','清晰','凹陷','硬滑',0.697,0.460]
    NaiveBayes(test)

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老是出现这样的报错，

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