文本文件包含以逗号分隔的数字(例如458.58,1598.45 ......)。
我想将文本文件中的整行添加到ArrayList中。
到目前为止,这是我的代码:
// to calculate final output
ArrayList<String> weeklySales = new ArrayList<String>(7);
// week 1 sales
while(file.hasNext()) {
weeklySales.add(file.nextLine());
System.out.println("I ran!");
}
System.out.println(weeklySales);
编辑:抱歉我的问题不明确。我的问题是在运行此代码之后,它将ENTIRE文本文件的所有元素添加到我的数组中,但我只需要将1个LINE添加到它自己的单个ArrayList中。总的来说,我将拥有与文件中的文本行一样多的数组列表。
答案 0 :(得分:0)
这是代码,您可以使用:
String line = "458.58, 1598.45";
String array[] = line.split(", ");
通过这种方式可以从String更改为double:
Double.valueOf(array[i]);
可以使用以下命令将数组更改为列表:
ArrayList<String> list = new ArrayList<>();
list.addAll(Arrays.asList(array));
答案 1 :(得分:0)
我终于开始工作了。我意识到使用StringTokenizer时,处理单个行并将单个数字与文本文件分开的最方便的方法。这是完全正常工作的代码,您需要的只是文本文件,名为'SalesData.txt',我的包含以下3行:
1245.67,1490.07,1679.87,2371.46,1783.92,1461.99,2059.77 2541.36,2965.88,1965.32,1845.23,7021.11,9652.74,1469.36 2513.45,1963.22,1568.35,1966.35,1893.25,1025.36,1128.36
该程序输出以下内容:
- 每周总销售额
- 每周的平均日数
- 所有周的总销售额
- 平均每周总数
- 销售额最高的一周
- 销售额最低的一周
DecimalFormat formatter = new DecimalFormat("#0.00");
// create file object
File salesData = new File("SalesData.txt");
// open file
Scanner file = new Scanner(salesData);
// declare 2 dimensional array
double[][] weeklySales = new double[3][7];
// loop to initialize token
int row = 0;
while(file.hasNext()) {
// initialize token
String line = file.nextLine();
StringTokenizer tokens = new StringTokenizer(line, ",");
// fill columns and rows
int col = 0;
while(tokens.hasMoreTokens()) {
// convert to double and assign to token
weeklySales[row][col] = Double.parseDouble(tokens.nextToken());
// move up 1 column
col++;
}
// move down 1 row
row++;
}
// calculate weekly sales
double week1Sales = 0, week2Sales = 0, week3Sales = 0;
for(int i = 0; i < 3; i++) {
for(int j = 0; j < 5; j++) {
double daily = weeklySales[i][j];
if(i == 0)
week1Sales += daily;
else if(i == 1)
week2Sales += daily;
else if(i == 2)
week3Sales += daily;
}
}
// week 1 sales
System.out.println("Week 1 total sales: $" +formatter.format(week1Sales));
// week 2 sales
System.out.println("Week 1 total sales: $" +formatter.format(week2Sales));
// week 3 sales
System.out.println("Week 1 total sales: $" +formatter.format(week3Sales));
// average daily for week 1
System.out.println("Daily average for week 1: $" +formatter.format(week1Sales / 7));
// average daily for week 2
System.out.println("Daily average for week 2: $" +formatter.format(week2Sales / 7));
// average daily for week 3
System.out.println("Daily average for week 3: $" +formatter.format(week3Sales / 7));
// total for all weeks
double weeklyTotal = week1Sales + week2Sales + week3Sales;
System.out.println("Total sales of all the weeks: $" +formatter.format(weeklyTotal));
// average weekly sales
System.out.println("Average weekly total: $" + formatter.format(weeklyTotal / 3));
// week number with highest sales
if(week1Sales > week2Sales)
if(week1Sales > week3Sales)
System.out.println("The week with the highest sales is week 1.");
else
System.out.println("The week with the highest sales is week 3.");
else if(week2Sales > week3Sales)
if(week2Sales > week1Sales)
System.out.println("The week with the highest sales is week 2.");
else
System.out.println("The week with the highest sales is week 1.");
else
System.out.println("The week with the highest sales is week 3.");
// week number with the lowest
if(!(week1Sales > week2Sales))
if(!(week1Sales > week3Sales))
System.out.println("The week with the lowest sales is week 1.");
else
System.out.println("The week with the lowest sales is week 3.");
else if(!(week2Sales > week3Sales))
if(!(week2Sales > week1Sales))
System.out.println("The week with the lowest sales is week 2.");
else
System.out.println("The week with the lowest sales is week 1.");
else
System.out.println("The week with the lowest sales is week 3.");