如何将列表类型转换成dict类型，用于AssRule函数？

def AssRule(freq, min_conf ):
    """
    This assRule must input a dict for itemset -> support rate
    And also can customize your minimum confidence
    """
    assert type(freq) is dict
    result = []
    for item, sup in freq.items():
        for subitem in subs(list(item)):
            sb = [x for x in item if x not in subitem]
            if sb == [] or subitem == []: continue
            if len(subitem) == 1 and (subitem[0][0] == 'in' or subitem[0][0] == 'out'):
                continue
            conf = sup/freq[tuple(subitem)]
            if conf >= min_conf:
                result.append({'from':subitem, 'to':sb, 'sup':sup, 'conf':conf})
    return result

if __name__ == '__main__':
  a = pd.read_csv('E:/li.csv', low_memory=False)
  A=a.to_dict(orient = "lists")

  AssRule(A,0.4)

没明白你的意思，你已经用pandas将数据转为dict了。