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What's the best way to import a CSV file into a strongly-typed data structure?
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Using the read_csv() function from the pandas package, you can import tabular data from CSV files into pandas dataframe by specifying a parameter value for the file name (e.g. pd. read_csv("filename. csv") ).
On the File menu, click Import. In the Import dialog box, click the option for the type of file that you want to import, and then click Import. In the Choose a File dialog box, locate and click the CSV, HTML, or text file that you want to use as an external data range, and then click Get Data.
CSV files can be used with most any spreadsheet program, such as Microsoft Excel or Google Spreadsheets. They differ from other spreadsheet file types because you can only have a single sheet in a file, they can not save cell, column, or row. Also, you cannot not save formulas in this format.
Microsoft's TextFieldParser is stable and follows RFC 4180 for CSV files. Don't be put off by the Microsoft.VisualBasic namespace; it's a standard component in the .NET Framework, just add a reference to the global Microsoft.VisualBasic assembly.
If you're compiling for Windows (as opposed to Mono) and don't anticipate having to parse "broken" (non-RFC-compliant) CSV files, then this would be the obvious choice, as it's free, unrestricted, stable, and actively supported, most of which cannot be said for FileHelpers.
See also: How to: Read From Comma-Delimited Text Files in Visual Basic for a VB code example.
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