生成一个apriori算法的Python源代码有中文注释

以下是使用Python实现Apriori算法的示例代码，其中包含了中文注释：

# -*- coding: utf-8 -*-

"""
Apriori算法实现
"""

def loadDataSet():
    """
    加载数据集
    :return: 数据集
    """
    return [[1, 3, 4], [2, 3, 5], [1, 2, 3, 5], [2, 5]]

def createC1(dataSet):
    """
    生成C1集合
    :param dataSet: 数据集
    :return: C1集合
    """
    C1 = []
    for transaction in dataSet:
        for item in transaction:
            if not [item] in C1:
                C1.append([item])
    C1.sort()
    return list(map(frozenset, C1))

def scanD(D, Ck, minSupport):
    """
    从Ck生成Lk
    :param D: 数据集
    :param Ck: 频繁项集列表
    :param minSupport: 最小支持度
    :return: 返回符合最小支持度要求的频繁项集列表和支持度字典
    """
    ssCnt = {}
    for tid in D:
        for can in Ck:
            if can.issubset(tid):
                if not can in ssCnt:
                    ssCnt[can] = 1
                else:
                    ssCnt[can] += 1
    numItems = float(len(D))
    retList = []
    supportData = {}
    for key in ssCnt:
        support = ssCnt[key] / numItems
        if support >= minSupport:
            retList.insert(0, key)
        supportData[key] = support
    return retList, supportData

def aprioriGen(Lk, k):
    """
    生成Ck
    :param Lk: 频繁项集列表
    :param k: 项集元素个数
    :return: Ck
    """
    retList = []
    lenLk = len(Lk)
    for i in range(lenLk):
        for j in range(i + 1, lenLk):
            L1 = list(Lk[i])[:k - 2]
            L2 = list(Lk[j])[:k - 2]
            L1.sort()
            L2.sort()
            if L1 == L2:
                retList.append(Lk[i] | Lk[j])
    return retList

def apriori(dataSet, minSupport=0.5):
    """
    Apriori算法
    :param dataSet: 数据集
    :param minSupport: 最小支持度
    :return: 返回符合最小支持度要求的频繁项集列表和支持度字典
    """
    C1 = createC1(dataSet)
    D = list(map(set, dataSet))
    L1, supportData = scanD(D, C1, minSupport)
    L = [L1]
    k = 2
    while len(L[k - 2]) > 0:
        Ck = aprioriGen(L[k - 2], k)
        Lk, supK = scanD(D, Ck, minSupport)
        supportData.update(supK)
        L.append(Lk)
        k += 1
    return L, supportData

if __name__ == '__main__':
    dataSet = loadDataSet()
    L, supportData = apriori(dataSet)
    print(L)
    print(supportData)

注意，此代码为示例代码，实际使用时还需要根据自己的需求进行调整。