循环逻辑有什么问题

Question

现在，我需要按照以下步骤处理数据帧：

1\Split the clean_question column of the row on the space character (), and assign to split_question.
2\Remove any words in split_question that are less than 6 characters long.
3\Set match_count to 0.
4\Loop through each word in split_question.
5\If the term occurs in terms_used, add 1 to match_count.
6\Add each word in split_question to terms_used using the add method on sets.
7\If the length of split_question is greater than 0, divide match_count by the length of split_question.
8\Append match_count to question_overlap.

事实上，我是这样写的代码：

for index, series in jeopardy.iterrows():
    match_count = 0
    split_question = series.clean_question.split(' ')
    for i in split_question:
        if len(i) < 6:
            split_question.remove(i)
    for i in split_question:
        if i in terms_used:
            match_count += 1
        terms_used.add(i)
    if len(split_question) > 0 :
        question_overlap.append(match_count/len(split_question))

但是，示例代码与我的输出不同的平均值，示例是：

for i, row in jeopardy.iterrows():
        split_question = row["clean_question"].split(" ")
        split_question = [q for q in split_question if len(q) > 5]
        match_count = 0
        for word in split_question:
            if word in terms_used:
                match_count += 1
        for word in split_question:
            terms_used.add(word)
        if len(split_question) > 0:
            match_count /= len(split_question)
        question_overlap.append(match_count)

我花了很多时间尝试修复该错误，但没有找到它们。请帮助指出问题发生的原因。谢谢！

提示： 上面我的代码的输出平均值是：

np.mean(question_overlap) 
0.8031111701203273

但是正确的答案是：

0.69087373156719623