找回密码
 立即注册

QQ登录

只需一步,快速开始

谢朵
注册会员   /  发表于:2023-5-19 17:33:26
21#
JoestarXu 发表于 2023-5-19 16:12
不客气哈,后续有问题随时开贴提问。

你好,刚才那段代码我试过以后发现一个问题。那就是插入的位置不对。我理想是的:不论有多少张,他们会平分合并后的单元格宽度。上面的解决方案如果是三张的情况就不对了

按照现在的代码,如果我有三张图片的话,就跟我想实现的有点差距了

按照现在的代码,如果我有三张图片的话,就跟我想实现的有点差距了

理想的是不论有几张图片,都要评分这个合并后的单元

理想的是不论有几张图片,都要评分这个合并后的单元

demo-sjs-15.rar

5.33 KB, 下载次数: 26

回复 使用道具 举报
JoestarXu
超级版主   /  发表于:2023-5-22 10:24:33
22#
您好,如果想要实现这样的需求,就需要使用第二种方法了,请参考以下代码:

  1.         $(document).ready(function () {
  2.             var spread = new GC.Spread.Sheets.Workbook(document.getElementById("ss"), { sheetCount: 3 });
  3.             var sheet = spread.getActiveSheet();
  4.             sheet.addSpan(16, 5, 1, 2);
  5.             var arr = [
  6.                 "data:image/png;base64,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", "data:image/png;base64,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", "data:image/png;base64,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"
  7.             ]

  8.             let { x, y, width, height } = sheet.getCellRect(16, 5);
  9.             console.log(width, height);

  10.             for (let i = 0; i < arr.length; i++) {
  11.                 console.log(i);
  12.                 var picture = sheet.pictures.add("f" + i, arr[i], 0, 0, 10, 10);
  13.                 var point = new GC.Spread.Sheets.Point(310 + width / 3 * i, 320);
  14.                 picture.position(point);
  15.                 picture.width(width / arr.length);
  16.                 picture.height(height);
  17.             }

  18.             var pic = sheet.pictures.all();
  19.             for (let j = 0; j < pic.length; j++) {
  20.                 console.log("==========================================");
  21.                 console.log("startRowOffset:" + j + "===>" + pic[j].startRowOffset());
  22.                 console.log("startColumnOffset:" + j + "===>" + pic[j].startColumnOffset());
  23.                 console.log("startRow:" + j + "===>" + pic[j].startRow());
  24.                 console.log("startColumn:" + j + "===>" + pic[j].startColumn());
  25.                 console.log("width:" + j + "===>" + pic[j].width());
  26.             }
  27.         })
复制代码


image.png702468261.png

回复 使用道具 举报
谢朵
注册会员   /  发表于:2023-5-22 10:40:53
23#
JoestarXu 发表于 2023-5-22 10:24
您好,如果想要实现这样的需求,就需要使用第二种方法了,请参考以下代码:

好的,我去我的项目中试一下,谢谢
回复 使用道具 举报
JoestarXu
超级版主   /  发表于:2023-5-22 10:56:12
24#
谢朵 发表于 2023-5-22 10:40
好的,我去我的项目中试一下,谢谢

不客气哈,后续如果还有问题随时发帖提问。
回复 使用道具 举报
123
您需要登录后才可以回帖 登录 | 立即注册
返回顶部