Jar包

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" 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Excel数据

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YNFGYGDGVD94TK8tqUfUI1Um4t03X6bYqpq6RG47TplVFh3Z8gWMxxuczzUhrpMnfzaxfxpcGPTcQU4ipRWz0urz7bbbQsVmFfGiVTth8wHa5QYfYJF6Bd+ARquwYKMwOGsqFrQmXz4FTXhEr8U/e5sVjtSJJMCQzPUEkL1SWVcnlKLQZCQx+Xi1y8XXpZkaNQRKx7r8Q4WkWF6O3KZFy22mjtyxjjcPuEKsajjAC0C59AbddAYWbAUDZ0TKhmkz0J+1n+3mlKqLS71X7euTQzAclae93I/AqEjy4u10acVpPGUXFOXfZeBzHPnGZ980AXdf1Fu9H6lzHG5da3/MV4kDGAduETqO0aKMwMGMqGnUyb3ukKlbQx/VWRFa2KkZWnhjRtuvjZoJsqY5rqxQgZl9Uwt4qfRJgjA6sYnQ3kJT3QVauUCq2ajYo7TJfS1BcOba9Q4X4/R6Bd+ARquwYKMwOGsiGUhArsHIO1gCVwPChgRyDACJ9AbddAYWbAUDYgoWILWmlqwPGggB2BACN8ArVdA4WZAUPZYEqo3t7eXl9fX15enp+fn56eHh8fF4vFw8PD/f393d3d7e3tzc3N9fX11dXV5eXlxcXF+fn52dnZ6enpycnJ8fHx0dHR4eHhwcFBWZb7+/sLAAAAAAAAAEgGXKGKmwWGPRIDjgcF7AgEGOETqO0aKMwMGMoGg5VIqOIGrTQ14HhQwI5AgBE+gdqugcLMgKFsCCihEmcBqZTJ6NoWA5K1qjg6uUhhoW34KI2ZnDfufdIf9QvTDKfmmYLI6uwwTqvaMFlQ4HMFaWKr9USyqc046wy0C59AbddAYWbAUDb0SKi276JqfsNvLaESNBbdHNm9q9e+mI42+kSMau1ImX2eXNFSYRAasuOrsKyGVE0MbYjLTZGXDJ15Lm6dnvHVMi5HF4Xp2NriSJRX9YFOoF34BGq7BgozA4ayoWtCNZ+ON3nUbNL0Xl8xoSrzzYlR5qJVop2bJcRu2RWTVrFXhA0ma+uo30qf0xQwOuqOb18IuG5jSnCjXxJBhVE5Lmvj5LLIsqKkvl2vYrfR+q9JXkQYl0U7zAe9krZBmFpZ0AK0C59AbddAYWbAUDbs5Ja/2aTpItU2oaq9vLk2BDsyvr13u1t2xWpHkmQ+oLN2pE9EzYKDwKk5LrxwfdPghI9VVcnR1fSXTVw2vemvqsVly40KwYKoO/g4LSVUuv1drl/sKyyQDg6v/O0F2oVPoLZroDAzYCgbdpBQiRermhOqGsLVKurhqO2uGJ+hIovVjiTJlEC0VlRMXEiuqEqapoDRITi+LLLRAHH5fYxrNdAlrdM+Lgs3jcvbi+FOgq4JVVVJpvH+CXIP2oVPoLZroDAzYCgb+iVU8+m4wzNUa9SR2Nrmha68oUNvUyzNfED3DJU8YKBJtKSUVS0GQmPj+LLIsizbxGXS8VFWLNveOaB9wnUbcIt8lJfLbVyubWJdzG6jZZ5l9Rq3hxpDXG57y19jMckTYAnahU+gtmugMDNgKBt2cctfu2eo3hEy8arS9/JH9UypTzFpFfYYJqWojCmoJFEicjFg43hZCMNMwuiWfDGkzZiTaYhss2w0WjXqdQAXA2rbga4yX9+Avf1k3H5odLhCFcNhxQfahU+gtmugMDNgKBu8P0NVVdW7g7SuYlJU6fv9lsWkwknRIaGSEs4Es9CoabwVWw6v1nFZCYPvC2qBXi5UUiNUthtdFpkU1OVBkeDjcrcrVMEfVnygXfgEarsGCjMDhrJhgIRqWb82td2ecmuZrtNvU0xdJTUap02vjArr/gTBYo7LZZ6X0kiXuZtfu4gvtdhNxBTiKlFbPS6vPttttCxWYV8aJVO2HzAdrlBh9gkXoF34BGq7BgozA4ayoWtCJd7mN5+O7SelWGofnBopt+1JX7UqptacGoZnqKSF6pJKuTylFgOhoY/LRS7eLr2syFEoIta9V2IcraJC9HZlMi5bbbT2ZYxxuH1CFeNRRgDahU+gtmugMDNgKBu6X6F6n5Bib6/xASoxoTK8rIzs7hO71X7euTQzAclae93I/AqEjy4u10acVpPGUXFOXfZeBzHPnGZ980AXdf1Fu9H6lzHG5da3/MV4kDGAduETqO0aKMwMGMqGndzy14xm2nRhY/qrIitaFSMrTw1p2nTxs0E3VcY01YsRMi6rYW4VP4kwRwZWMTobyEt6oKtWKRVaNRsVd5gupakvHNpeocL9fo5Au/AJ1HYNFGYGDGVDKAkV2DkGawFL4HhQwI5AgBE+gdqugcLMgKFsQELFFrTS1IDjQQE7AgFG+ARquwYKMwOGssGUUL29vb2+vr68vDw/Pz89PT0+Pi4Wi4eHh/v7+7u7u9vb25ubm+vr66urq8vLy4uLi/Pz87Ozs9PT05OTk+Pj46Ojo8PDw4ODg7Is9/f3FwAAAAAAAACQDLhCFTcLDHskBhwPCtgRCDDCJ1DbNVCYGTCUDQYrkVDFDVppasDxoIAdgQAjfAK1XQOFmQFD2RBQQiXOAlIpk9G1LQYka1VxdHKRwkLb8FEaMzlv3PukP+oXphlOzTMFkdXZYZxWtWGyoMDnCmqyQzn02kGu3zoS+EHGANqFT6C2a6AwM2AoG3onVPPpuM17qKpK9Lgm7MjuXb32xXS00SdiVGtHyuzz5IqWCoPQkB1fhWXDq9/qNMTlpshLhs48F7dOz/hqGZeji8KqHUr+pFtQmyc3jV8ih6Bd+ARquwYKMwOGsqFvQjWbtHuxb7Usso09ZS6eI6KdmyXEbtkVk1axV4QNJmvrqN9Kn9MUMDrqjm9fCLhub+ZLIipCYTkua+PkssiyoqS+Xa9it9H6r0leRBiXFTuko6QTqrL+n/g9Lld1A+3CJ1DbNVCYGTCUDf0SqtlkbzxufYVqS+1NziPj23u3u2VXrHYkSeYDOmtH+kTULDgInJrjwgvXN23MfI3E9JdNXDa96a+qxWXLjQrxgag7+Dhds0M8su31J0NC9X6IovBIqLqBduETqO0aKMwMGMqGPgnVfDqezDrc8rdGvFhVUQ9HVcJXVctitSNJMiUQrRUVExeSK6qSpilgdAiOL4tsNEBcrl1b0Twy1Gqj6+Auby+GOwnEBljT4v2P99+a7XJZwNUicb3gjzlI0C58ArVdA4WZAUPZ0D2hmk/H4+m8yzNU1aYvYZJW7MobOvQ2xdLMB3TPUMkDBppES0pZ1WIgNDaOL4ssy7JNXCYdH2XFsu2dA9onXLcBt8hHebncxuXaJtbF7DZa5llWr3F7qDHE5W0DXA3YrX8V10nS6hiWRbY+aDWhWhVd/8AhoeoG2oVPoLZroDAzYCgbOidUs8l4Ov/RaVKKDcIzVKRFlZIp9SkmrcIew6QUlTEFlSRKRC4GbBwvC2GYSeiG1653VO3GnExDZJtlo9GqRa8DuBhQ2w50lfn6BuztJ+P2Q2NrxzaTGmVFuTahJs0oL9WE6t2vdUEkVN1Au/AJ1HYNFGYGDGVDx4RqNllnUX0SqvozVO9bpWaiU/v0lsWkwknRIaGSEs4Es9CoabwVWw6v1nFZCYPLWo+fLlRSI1S2G10WmRTU5UGR4OMyFVuX2zs6NKKW2wPfWLiSmftvkTPQLnwCtV0DhZkBQ9nQLaGaTfZkzEmV/aQUUoe+ojr9NsXUVVKjcdr0yqiw7k8QLOa4XOZ5KY10EdGOjnzK5KubiCnEVaK2elxefbbbaFkUy3qYjm6gi4qtopDkMazUeb/DTy8laAHahU+gtmugMDNgKBu8v4dKnCq9Lu5IuW2vqn/VqljtSJJMCQzPUEkL1SWVcnlKLQZCQx+Xi1y8XXpZkaNQRKzbTp+gH62iQvR2ZTIuW2209mWMcVhpgMsiE3/eqGNarq9FEY8Sk3PagmbQLnwCtV0DhZkBQ9kwwIt9hUS31mkgu/vEbrWfdy7NTECy1l43Mr8C4aOLy7URp9VVYU1nXlr2XgdxZ65mffNAlzJcZtpo/csY47I8bbr8Ykby0NdLVK2ULAtYgnbhE6jtGijMDBjKht4JlR2aW/6EjemviojXRiyLkZWnhjRtuvjZoJsqY5rqxQgZl9Uwt4qfRJgjA6sYnQ0Qz/is1hMrpUKrZqPiDtOlNPWFw9aOZf0FEdulhF4yguxhH264oF34BGq7BgozA4ayIZSECuwcg7WAJXA8KGBHIMAIn0Bt10BhZsBQNiChYgtaaWrA8aCAHYEAI3wCtV0DhZkBQ9lgSqje3t5eX19fXl6en5+fnp4eHx8Xi8XDw8P9/f3d3d3t7e3Nzc319fXV1dXl5eXFxcX5+fnZ2dnp6enJycnx8fHR0dHh4eHBwUFZlvv7+wsAAAAAAAAASAZcoYqbBYY9EgOOBwXsCAQY4ROo7RoozAwYygaDlUio4gatNDXgeFDAjkCAET6B2q6BwsyAoWxAQsUWtNLUgONBATsCAUb4BGq7BgozA4ayoUdCNZ+O99aMp3MkVIGBVpoacDwoYEcgwAifQG3XQGFmwFA29EioZhOLN/oioRoMtNLUgONBATsCAUb4BGq7BgozA4ayoXtCNZs0XpdCQjUkaKWpAceDAnYEAozwCdR2DRRmBgxlQ+eEaj4d2+dTSKgGAK00NeB4UMCOQIARPoHaroHCzIChbOicUM0me+Px2O4JKiRUQ4BWmhpwPChgRyDACJ9AbddAYWbAUDZ0Tajm0/E2j2p+mgoJlX/QSlMDjgcF7AgEGOETqO0aKMwMGMqGnUyb3vw4FRIq/6CVpgYcDwrYEQgwwidQ2zVQmBkwlA1IqNiCVpoacDwoYEcgwAifQG3XQGFmwFA2dE2oZpO9zW1+FvNTIKHyD1ppasDxoIAdgQAjfAK1XQOFmQFD2dD9CpXwXt/m11EhofIPWmlqwPGggB2BACN8ArVdA4WZAUPZsJNb/ppBQuUftNLUgONBATsCAUb4BGq7BgozA4ayAQkVW9BKUwOOBwXsCAQY4ROo7RoozAwYygYkVGxBK00NOB4UsCMQYIRPoLZroDAzYCgbTAnV29vb6+vry8vL8/Pz09PT4+PjYrF4eHi4v7+/u7u7vb29ubm5vr6+urq6vLy8uLg4Pz8/Ozs7PT09OTk5Pj4+Ojo6PDw8ODgoy3J/f38BAAAAAAAAAMmAK1Rxs8CwR2LA8aCAHYEAI3wCtV0DhZkBQ9lgsBIJVdyglaYGHA8K2BEIMMInUNs1UJgZMJQNSKjYglaaGnA8KGBHIMAIn0Bt10BhZsBQNhis/H9GAwALy9FvSwAAAABJRU5ErkJggg==" alt="" />

Java代码

package ExcelToJSON;

import jxl.Cell;

import jxl.Sheet;

import jxl.Workbook;

import net.sf.json.JSONArray;

import net.sf.json.JSONObject;

import java.io.File;

public class Excel {

    public static void main(String[] args) {

        Sheet sheet;

        Workbook book;

        Cell cell1, cell2, cell3, cell4, cell5,cell6,cell7,cell8;

        JSONArray array = new JSONArray();

        try {

            //为要读取的excel文件名

            book = Workbook.getWorkbook(new File("F://a.xls"));

            //获得第一个工作表对象(ecxel中sheet的编号从0开始,0,1,2,3,....)

            sheet = book.getSheet(0);

            for (int i = 1; i < sheet.getRows(); i++) {

                //获取每一行的单元格

                cell1 = sheet.getCell(0, i);//（列，行）

                cell2 = sheet.getCell(1, i);

                cell3 = sheet.getCell(2, i);

                cell4 = sheet.getCell(3, i);

                cell5 = sheet.getCell(4, i);

                cell5 = sheet.getCell(5, i);

                cell5 = sheet.getCell(6, i);

                cell5 = sheet.getCell(7, i);

                if ("".equals(cell1.getContents())) {//如果读取的数据为空

                    break;

                }

                JSONObject object = new JSONObject();

                object.put("题干",cell1.getContents());

                object.put("类型",cell2.getContents());

                object.put("A选项",cell3.getContents());

                object.put("B选项",cell4.getContents());

                object.put("C选项",cell5.getContents());

                object.put("D选项",cell5.getContents());

                object.put("答案",cell5.getContents());

                object.put("解析",cell5.getContents());

                array.add(object);

            }

            System.out.println(array.toString());

            book.close();

        } catch (Exception e) {

            e.printStackTrace();

        }

    }

}

[{"题干":"1题题干","类型":"选择","A选项":"低电压配电柜","B选项":"自产","C选项":"低电压配电柜","D选项":"低电压配电柜","答案":"低电压配电柜","解析":"低电压配电柜"},{"题干":"2题题干","类型":"选择","A选项":"低电压配电柜","B选项":"自产","C选项":"低电压配电柜","D选项":"低电压配电柜","答案":"低电压配电柜","解析":"低电压配电柜"},{"题干":"3题题干","类型":"选择","A选项":"低电压配电柜","B选项":"外购","C选项":"低电压配电柜","D选项":"低电压配电柜","答案":"低电压配电柜","解析":"低电压配电柜"}]