小编use*_*009的帖子

在下面的代码中,它只调用一次元素.我怎样才能打印出"这是arraylist中的最后一个元素",当一切都被删除后,只剩下一个元素.

ArrayList<String> Responselist = new ArrayList<String>();
Responselist.add(CommentResponse());
Responselist.add(TriviaResponse());
Responselist.add(CriticResponse());
String[] SelectRand = new String [3];

for (int i = 0; i < SelectRand.length; ++i)
{
    int rnd = (int) (Math.random() * Responselist.size());
    SelectRand[i] = Responselist.get(rnd);
    Responselist.remove(rnd);
}

for (String x : SelectRand)
{
    if (!(Responselist.isEmpty()))
    {
        System.out.println(x);
    }
}

sdf = df.to_sparse()已被弃用。转换为稀疏 DataFrame 的更新方法是什么？

我是java的新手.我正在学习NLP课程.我想知道如何在porter stemmer java代码上运行输入文件.

public static GetRandomFunc() {
    switch((int)(Math.random()*NUM_FUNCTIONS)  {
        case 0:
            functionA();
            break;
        case 1:
            functionB();
            break;
        case 2:
            functionC();
            break;
          //  ...
    }
}

我想在main中随机调用GetRandomFunc(),直到每个函数被调用一次然后结束.如何确保只调用一次函数,如果调用了所有函数,则打印出System.out.println("全部完成")

我有一个数据框，其中有一列包含字典列表。这是示例列值的样子：

[{'score': 0.09248554706573486, 'category': 'soccer', 'threshold': 0.13000713288784027}, {'score': 0.09267200529575348, 'category': 'soccer', 'threshold': 0.11795613169670105}, {'score': 0.1703065186738968, 'category': 'soccer', 'threshold': 0.2004493921995163}, {'score': 0.08060390502214432, 'category': 'basketball', 'threshold': 0.09613725543022156}, {'score': 0.16494056582450867, 'category': 'basketball', 'threshold': 0.2284235805273056}, {'score': 0.008428425528109074, 'category': 'basketball', 'threshold': 0.018201233819127083}, {'score': 0.0761604905128479, 'category': 'hockey', 'threshold': 0.0924532413482666}, {'score': 0.10853488743305206, 'category': 'basketball', 'threshold': 0.1252049058675766}, {'score': 0.0012563085183501244, 'category': 'soccer', 'threshold': 0.008611497469246387}, {'score': 0.058744996786117554, 'category': 'soccer', 'threshold': 0.08366610109806061}, {'score': 0.20794744789600372, 'category': 'rugby', 'threshold': 0.26308900117874146}, {'score': 0.1463163197040558, 'category': 'hockey', 'threshold': 0.18053030967712402}, {'score': 0.12938784062862396, 'category': 'hockey', 'threshold': 0.13267497718334198}, {'score': …