Again, this is so we can test getting both the formula and the computed value, but this time across different sheets.
So we are doing a simple “SUM” formula and referencing the first sheet. Sheet 2 is named “Second Sheet” and looks like so : We will try and extract these styling elements out later.
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We are also styling cell A2 with a font color of red, and B2 has a full border (Although hard to see as I’m trying to show the fomula). This is because we want to check if the libraries allow us to not only get the “formula” from the cell, but also what the computed value should be. Then in column B2, we have a reference to cell A2. Notice that cell A2 is simply the number “1”. Sheet 1 is named “First Sheet” and looks like so : The spreadsheet will have two “sheets”, where the second sheet references the first. I figure the best way to compare the different libraries on offer is to create a simple spreadsheet to compare the different ways we can read data out. CSV parsers are great for taking tabular data and deserializing it into objects and should be used where they can. We have a great article here on parsing CSV in C#. I should note that if you are reading a CSV, or more so a single excel sheet that doesn’t have formulas or anything “excel” specific on the sheet, you should instead just parse it using standard CSV technique. Test and share your project straightaway with IronXL 30-day free trial key or experience licensing benefits starting from $399 with 24-hour engineer support. IronXL works with many excel formats such as XLS/XLSX/CSV/TSV. IronXL reads, writes, and creates workbook excel files in C#. Having helped Lego and NASA with their spreadsheet woes – IronXL provides for your spreadsheet needs by validating, converting, saving, and modifying Excel files. Create Spreadsheet Magic with IronXL – Read, Write and Create in C#.