问题及现象
在openxml中文件不包含空白单元格的条目,这就是跳过空白单元格的原因。
所以如果当我们打开一个excel,读取一个表格数据,发现如果有空单元格,openxml会跳过导致读取的数据发生错位。
比如这个是原始的excel表格数据。
当有空格读取后,第一行和最后一行的数据就会错位了,如下:
解决的办法就是:
假设:
documentformat.openxml.spreadsheet.row row,
cell cell = row.elements<cell>().firstordefault(c => c.cellreference == $"列行");
//例如:c.cellreference =="a12"
当cell是空的时候,表示该单元格是空值。
因此对于从行中提取单元格不能使用“foreach (cell cell in row)”,这样取出来的cell是非空的单元格,也就是如果你有10列,有两列是空单元格,那么就只能取出来8列,这就导致了取出数据的错位。
而应该使用循环,也就是知道了表格的列数了,然后使用for去循环,例如:
for (int columnindex = 0; columnindex < dt.columns.count; columnindex++) { //查找指定的行列单元格是否存在。 cell cell = row.elements<cell>().firstordefault(c => c.cellreference == $"{columnreference[columnindex]}{row.rowindex}");//例如:c.cellreference =="a12" string cellval = null; //定义获取的单元格的值,默认为空 if (cell != null) {//不为空使用定义的getcellvalue()函数获取cell中的值 cellval = getcellvalue(cell, workbookpart); } .... }
以下为封装的openxml处理的完整代码
调用readsheetwithheader()函数,readsheetwithheader会调用封装的openxml类outexcel对象,从而把指定的excel文件的sheet表读取到datatable的数据集合中。
/// <summary> /// 将指定的excel文件中的指定索引的sheet读取到表对象中 /// </summary> /// <param name="filenm">excel文件路径</param> /// <param name="sheetindex">sheet索引</param> /// <returns>返回datatable对象</returns> public datatable readsheetwithheader(string filenm, int sheetindex) { filestream fs = new filestream(filenm, filemode.open, fileaccess.read, fileshare.read); datatable dt = new outexcel().readexcel(sheetindex, fs); return dt; }
封装openxml类outexcel
using documentformat.openxml; using documentformat.openxml.packaging; using documentformat.openxml.spreadsheet; using system; using system.collections.generic; using system.data; using system.io; using system.linq; using system.text; using system.threading.tasks; namespace openexcelmng { public class outexcel { /// <summary> /// 按照给定的excel流组织成datatable /// </summary> /// <param name="sheetname">须要读取的sheet的名称</param> /// <param name="stream">excel文件流</param> /// <returns>组织好的datatable</returns> public datatable readexcel(string sheetname, stream stream) { using (spreadsheetdocument document = spreadsheetdocument.open(stream, false)) { //打开stream workbookpart workbookpart = document.workbookpart; ienumerable<sheet> sheets = workbookpart.workbook.descendants<sheet>().where(s => s.name == sheetname); if (sheets.count() == 0) {//找出合适前提的sheet,没有则返回 return null; } worksheetpart worksheetpart = (worksheetpart)document.workbookpart.getpartbyid(sheets.first().id); //获取excel中共享数据 sharedstringtable stringtable = document.workbookpart.sharedstringtablepart.sharedstringtable; ienumerable<row> rows = worksheetpart.worksheet.descendants<row>();//获得excel中得数据行 datatable dt = new datatable("excel"); //因为须要将数据导入到datatable中,所以我们假定excel的第一行是列名,从第二行开端是行数据 foreach (row row in rows) { if (row.rowindex == 1) {//excel第一行动列名 getdatacolumn(row, stringtable, ref dt); } else { getdatarow(row, stringtable, workbookpart, ref dt);//excel第二行同时为datatable的第一行数据 } } return dt; } } /// <summary> /// 按照给定的excel流组织成datatable /// </summary> /// <param name="sheetindex">须要读取的sheet的索引</param> /// <param name="sheetindex">excel文件流</param> /// <returns>组织好的datatable</returns> public datatable readexcel(int sheetindex, stream stream) { using (spreadsheetdocument document = spreadsheetdocument.open(stream, false)) {//打开stream workbookpart workbookpart = document.workbookpart; ilist<sheet> sheets = workbookpart.workbook.descendants<sheet>().tolist(); if (sheets.count() == 0) {//找出合适前提的sheet,没有则返回 return null; } worksheetpart worksheetpart = (worksheetpart)document.workbookpart.getpartbyid(sheets[sheetindex].id); //获取excel中共享数据 sharedstringtable stringtable = document.workbookpart.sharedstringtablepart.sharedstringtable; ienumerable<row> rows = worksheetpart.worksheet.descendants<row>();//获得excel中得数据行 datatable dt = new datatable("excel"); //因为须要将数据导入到datatable中,所以我们假定excel的第一行是列名,从第二行开端是行数据 foreach (row row in rows) { if (row.rowindex == 1) {//excel第一行动列名 getdatacolumn(row, stringtable, ref dt); } else { getdatarow(row, stringtable, workbookpart, ref dt);//excel第二行同时为datatable的第一行数据 } } return dt; } } /// <summary> /// 构建datatable的列 /// </summary> /// <param name="row">openxml定义的row对象</param> /// <param name="stringtablepart"></param> /// <param name="dt">须要返回的datatable对象</param> /// <returns></returns> public void getdatacolumn(row row, sharedstringtable stringtable, ref datatable dt) { datacolumn col = new datacolumn(); dictionary<string, int> columncount = new dictionary<string, int>(); foreach (cell cell in row) { string cellval = getvalue(cell, stringtable); col = new datacolumn(cellval); if (iscontainscolumn(dt, col.columnname)) { if (!columncount.containskey(col.columnname)) columncount.add(col.columnname, 0); col.columnname = col.columnname + (columncount[col.columnname]++); } dt.columns.add(col); } } /// <summary> /// 构建datatable的每一行数据,并返回该datatable /// </summary> /// <param name="row"></param> /// <param name="stringtable"></param> /// <param name="workbookpart">用于处理获取cell中的信息,如果cell存在,不是空单元格</param> /// <param name="dt">把行数据写入到datatabl中</param> private void getdatarow(documentformat.openxml.spreadsheet.row row, documentformat.openxml.spreadsheet.sharedstringtable stringtable, //不再使用 documentformat.openxml.packaging.workbookpart workbookpart, //用于处理获取cell中的信息,如果cell存在,不是空单元格 ref system.data.datatable dt) //把行数据写入到datatabl中。 { // 读取算法:按行一一读取单位格,若是整行均是空数据 // 则忽视改行(因为本人的工作内容不须要空行)-_- datarow dr = dt.newrow(); int i = 0; int nullrowcount = i; dictionary<int, string> columnreference = new dictionary<int, string>(); columnreference.add(0, "a"); columnreference.add(1, "b"); columnreference.add(2, "c"); columnreference.add(3, "d"); columnreference.add(4, "e"); columnreference.add(5, "f"); columnreference.add(6, "g"); columnreference.add(7, "h"); for (int columnindex = 0; columnindex < dt.columns.count; columnindex++) { cell cell = row.elements<cell>().firstordefault(c => c.cellreference == $"{columnreference[columnindex]}{row.rowindex}");//例如:c.cellreference =="a12" string cellval = null; if (cell != null) { cellval = getcellvalue(cell, workbookpart); } if (string.isnullorempty(cellval)) { nullrowcount++; } dr[i] = cellval; i++; } if (nullrowcount != i) { dt.rows.add(dr); } } /// <summary> /// 获取单位格的值 /// </summary> /// <param name="cell">单元格</param> /// <param name="workbookpart"></param> /// <param name="type">1 不去空格 2 前后空格 3 所有空格 </param> /// <returns></returns> public static string getcellvalue(cell cell, workbookpart workbookpart, int type = 2) { //合并单元格不做处理 if (cell.cellvalue == null) return string.empty; string cellinnertext = cell.cellvalue.innerxml; //纯字符串 if (cell.datatype != null && (cell.datatype.value == cellvalues.sharedstring || cell.datatype.value == cellvalues.string || cell.datatype.value == cellvalues.number)) { //获取spreadsheetdocument中共享的数据 sharedstringtable stringtable = workbookpart.sharedstringtablepart.sharedstringtable; //如果共享字符串表丢失,则说明出了问题。 if (!stringtable.any()) return string.empty; string text = stringtable.elementat(int.parse(cellinnertext)).innertext; if (type == 2) return text.trim(); else if (type == 3) return text.replace(" ", ""); else return text; } //bool类型 else if (cell.datatype != null && cell.datatype.value == cellvalues.boolean) { return (cellinnertext != "0").tostring().toupper(); } //数字格式代码(numfmtid)小于164是内置的:https://www.it1352.com/736329.html else { //为空为数值 if (cell.styleindex == null) return cellinnertext; stylesheet stylesheet = workbookpart.workbookstylespart.stylesheet; cellformat cellformat = (cellformat)stylesheet.cellformats.childelements[(int)cell.styleindex.value]; uint formatid = cellformat.numberformatid.value; double doubletime;//ole 自动化日期值 datetime datetime;//yyyy/mm/dd hh:mm:ss switch (formatid) { case 0://常规 return cellinnertext; case 9://百分比【0%】 case 10://百分比【0.00%】 case 11://科学计数【1.00e+02】 case 12://分数【1/2】 return cellinnertext; case 14: doubletime = double.parse(cellinnertext); datetime = datetime.fromoadate(doubletime); return datetime.tostring("yyyy/mm/dd"); //case 15: //case 16: case 17: doubletime = double.parse(cellinnertext); datetime = datetime.fromoadate(doubletime); return datetime.tostring("yyyy/mm"); //case 18: //case 19: case 20: doubletime = double.parse(cellinnertext); datetime = datetime.fromoadate(doubletime); return datetime.tostring("h:mm"); case 21: doubletime = double.parse(cellinnertext); datetime = datetime.fromoadate(doubletime); return datetime.tostring("hh:mm:ss"); case 22: doubletime = double.parse(cellinnertext); datetime = datetime.fromoadate(doubletime); return datetime.tostring("yyyy/mm/dd hh:mm"); //case 45: //case 46: case 47: doubletime = double.parse(cellinnertext); datetime = datetime.fromoadate(doubletime); return datetime.tostring("yyyy/mm/dd"); case 58://【中国】11月11日 doubletime = double.parse(cellinnertext); datetime = datetime.fromoadate(doubletime); return datetime.tostring("mm/dd"); case 176://【中国】2020年11月11日 doubletime = double.parse(cellinnertext); datetime = datetime.fromoadate(doubletime); return datetime.tostring("yyyy/mm/dd"); case 177://【中国】11:22:00 doubletime = double.parse(cellinnertext); datetime = datetime.fromoadate(doubletime); return datetime.tostring("hh:mm:ss"); default: return cellinnertext; } } } /// <summary> /// 获取单位格的值 /// </summary> /// <param name="cell"></param> /// <param name="stringtablepart"></param> /// <returns></returns> private string getvalue(cell cell, sharedstringtable stringtable) { //因为excel的数据存储在sharedstringtable中,须要获取数据在sharedstringtable 中的索引 string value = string.empty; try { if (cell.childelements.count == 0) return value; value = double.parse(cell.cellvalue.innertext).tostring(); if (cell.datatype != null) { switch (cell.datatype.value) { case cellvalues.sharedstring: value = stringtable.childelements[int32.parse(value)].innertext; break; } } } catch (exception ex) { value = "n/a"; } return value; } /// <summary> /// 判断网格是否存在列 /// </summary> /// <param name="dt">网格</param> /// <param name="columnname">列名</param> /// <returns></returns> public bool iscontainscolumn(datatable dt, string columnname) { if (dt == null || columnname == null) { return false; } return dt.columns.contains(columnname); } public static void converttodatetime(ref datatable dt, string columnnm, string dtformat) { int findloca_old = dt.columns.indexof(columnnm); datacolumn newcolumn = new datacolumn(system.guid.newguid().tostring(), typeof(string)); string newcolumnnm = newcolumn.columnname; dt.columns.add(newcolumn); newcolumn.setordinal(findloca_old + 1); foreach (datarow row in dt.rows) { try { double val = convert.todouble(row[columnnm]); row[newcolumnnm] = datetime.fromoadate(val).tostring(dtformat); } catch (exception ex) { ; } } dt.columns.removeat(findloca_old); newcolumn.columnname = columnnm; } } }
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