AttributeError: 'dict' 对象没有属性 'predictors'

Question

我是 python 新手，找不到答案。 参考消息末尾的代码，我能知道下一行中的“for item, total in totals.items()”部分是什么意思吗？

rankings = [(total/simSums[item], item) for item, total in totals.items()]

另外，代码失败并说

AttributeError: 'dict' 对象没有属性 'predictors'

当我将代码中“item(s)”的所有实例更改为“predictor(s)”时。 为什么呢？

# Return the Pearson correlation coefficient for p1 and p2
def sim_person(prefs, p1, p2):
    # Get the list of shared_items
    si={}
    for item in prefs[p1]:
        if item in prefs[p2]:si[item]=1

    # Find the number of elements 
    n=len(si)

    # if they have no ratings in common, return 0
    if n==0: return 0

    # Add up all the preferences
    sum1 = sum([prefs[p1][it] for it in si])
    sum2 = sum([prefs[p2][it] for it in si])

    # Sum up the squares
    sum1Sq = sum([pow(prefs[p1][it],2) for it in si])
    sum2Sq = sum([pow(prefs[p2][it],2) for it in si])

    # Sum up the products
    pSum = sum([prefs[p1][it]*prefs[p2][it] for it in si])

    # Calculate Person score
    num = pSum - (sum1*sum2/n)
    den = sqrt((sum1Sq - pow(sum1,2)/n)*(sum2Sq - pow(sum2,2)/n))
    if den == 0: return 0

    r = num/den
    return r

# Returns the best matches for person from the prefs dictionary.
# Number of results and similarity function are optional params.
def topMatch(prefs, person, n=5, similarity=sim_person):
    scores = [(similarity(prefs, person, other), other) 
              for other in prefs if other!=person]

    # Sort the list so the highest scores appear at the top
    scores.sort()
    scores.reverse()
    return scores[0:n]

# Gets recommendations for a person by using a weighted average
# of every other user's rankings 
def getRecommendations(prefs, person, similarity=sim_person):
    totals = {}
    simSums = {}
    for other in prefs:
        # don't compare me to myself
        if other == person: continue
        sim = similarity(prefs, person, other)

        # ignore scores of zero of lower
        if sim<=0: continue
        for item in prefs[other]:

            # only score movies I haven't seen yet
            if item not in prefs[person] or prefs[person][item]==0:
                # Similarity * Score
                totals.setdefault(item, 0)
                totals[item]+=prefs[other][item]*sim
                # Sum of similarities
                simSums.setdefault(item, 0)
                simSums[item]+=sim

    # Create the normalized list 
    rankings = [(total/simSums[item], item) for item, total in totals.items()]

    # Return the sorted list 
    rankings.sort()
    rankings.reverse()
    return rankings

Answer 1

dict.items迭代字典的键值对。 因此， for key, value in dictionary.items()将遍历每一对。 这是文档信息，您可以在官方网页中查看，或者更简单，打开 python 控制台并键入help(dict.items) 。 现在，举个例子：

>>> d = {'hello': 34, 'world': 2999}
>>> for key, value in d.items():
...   print key, value
...
world 2999
hello 34

AttributeError是当对象不具有您尝试访问的属性时抛出的异常。 类dict没有任何predictors属性（现在您知道在哪里检查它:)），因此当您尝试访问它时它会抱怨。 就这么简单。

Answer 2

#Try without dot notation sample_dict = {'name': 'John', 'age': 29} print(sample_dict['name']) # John print(sample_dict['age']) # 29

Answer 3

product_details = {
'name':'mobile',
'company':'samsung'}

访问 product_details.name 将抛出错误“dict object has no attribute 'name'”。 原因是因为我们使用点 (.) 来访问 dict 项目。

right way is :
product_details['name']  

我们使用点运算符从 python 中的对象访问值。

dictionary.items() 允许我们遍历字典中的键：值对

for key, value in product_details.items(): 
    print(key,':',value)

对于循环的每次迭代，一个键和它的值被分配给这里的变量键和值。 这就是 items() 方法的工作原理。