xls

I am trying to read just one sheet from an xls document and I have this: $objPHPExcel = $objReader->load('daily/' . $fisierInbound); $objWorksheet = $objPHPExcel->setActiveSheetIndex(0); foreach ($objPHPExcel->getWorksheetIterator() as $worksheet) { $worksheetTitle = $worksheet->getTitle(); $highestRow = $worksheet->getHighestRow(); // e.g. 10 $highestColumn = $worksheet->getHighestColumn(); // e.g 'F' $highestColumnIndex = PHPExcel_Cell::columnIndexFromString($highestColumn); $dataCalls = $worksheet->getCellByColumnAndRow(2, 2)->getValue(); $dataSubstr = substr($dataCalls, 53); } The problem

I found a little script that will export information to an xls file, but I can't seem to get it working. The original code is found here: http://www.appservnetwork.com/modules.php?name=News&file=article&sid=8 And here's my code: // Query Database $query = 'SELECT * FROM #__db_clients WHERE published = '1' AND companyid IN (1,2) AND country = 'Africa' ORDER BY state ASC'; $db->setQuery($query); $rows = $db->loadObjectList(); if ($rows) { function xlsBOF() { echo pack("ssssss", 0x809, 0x8, 0x0, 0x10, 0x0, 0x0); return; }; function xlsEOF() { echo pack("ss", 0x0A, 0x00); return; }; function

I have a client-side web application, with a very minimal node server to access some data that the client can't. One of these things is excel spreadsheets with .xls extensions. I'm trying to get my server set up to download the xls, convert it to csv, and then send it back to the client. I've got the download part done, and I'm sure I can figure out the "send back" part, but I can't for the life of me find a good library to convert from xls to csv. Can someone point me to a library that can do that in a simple fashion? The excel file is just one sheet, no complicated workbooks or anything. Or

I'm working in a web application separated in blocks and I'm getting a CSV object from a work mate of mine which I must convert into XLS to be passed into an Excel Processor they built. This CSV object is delimited by the character ";". What I'd like to know is how I can convert the CSV object into XLS programatically. It should be easy for you to convert the CSV object into an array of arrays of strings and then do like in the following example (you'll need to add a reference to Microsoft.Office.Interop.Excel): using Excel = Microsoft.Office.Interop.Excel; Excel.Application excel = new Excel

I'm importing xls files using gdata . I am converting date columns using as.Date to convert the date As per the manual for as.Date , the date origin is platform dependent, and so I am determining which origin to use accordingly .origin <- ifelse(Sys.info()[['sysname']] == "Windows", "1899-12-30", "1904-01-01") as.Date(myData$Date, origin=.origin) However, I'm wondering if I should be considering the platform where the file is being read or the platform where it was written ? For what it's worth, I am currently testing the code on a linux box with no excel, and the correct Dates are produced by

C#中经常用到的功能，打开文件： /// <summary> /// 打开文件，可选择多个文件 /// </summary> /// <param name="fileExt">输入文件尾缀名，不包含"."</param> /// <returns></returns> public static string[] OpenFiles(string fileExt) { OpenFileDialog dialog = new OpenFileDialog(); dialog.Multiselect = true;//允许打开多个文件 dialog.DefaultExt = fileExt;//打开文件时显示的可选文件类型 dialog.Filter = fileExt + "xlsx文件|" + "*." + fileExt+"|xls文件|*.xls";//打开多个文件 if (dialog.ShowDialog() == DialogResult.OK) return dialog.FileNames; else { MessageBox.Show("返回文件路径失败"); return null; } } 其中 dialog.Multiselect = true 允许同时打开多个文件，选择中多个文件后，返回一个filenames数组，可以用如下代码遍历所有文件操作：

First of all, I understand that it's unusual that I want to up-convert like this, but please bear with me. We get these csv files via website export and we have no options to get it in any other form. Now, onto the question: I have this old code that will do this process for me. It basically reads each line, then picks out each value between the , s. This worked great for some samples that I converted, but when it came down to working with the samples given, some values were out of place. I opened the files in Notepad++ and realized that some of the cells, themselves, contained , s. CSV files