The updated version, pyxlsb2, offers some improvements over its predecessor. There is also some limited functionality for formatting dates to convert them to datetime objects. This can be achieved with the open_workbook(), get_sheet_by_index(), and rows() methods. The functionality is quite limited, but you can open a workbook, get a particular sheet, and read the rows. pyxlsb and pyxlsb2Īs the name of the next package suggests, pyxlsb specialises in parsing the binary file format.
> sheet.write_formula('A3', '')įor more information and examples, see the XlsxWriter documentation. > wb_obj = xlsxwriter.Workbook('formula.xlsx') To use it, we need to create a new xlsx file, add some data, and apply a formula: XlsxWriter cannot be used to read or modify an existing Excel file. This package also gives you the ability to apply formulas to the workbook. A particularly nice feature is the ability to use Python to add charts directly into the workbook. It can create files, add data to tables in the workbook, and format the data. The next Python package for working with Excel is XlsxWriter, which works with. You can also read an existing file and modify it using this package. Finally, use the save() method to write the file: Now you can get the active sheet and start assigning data to the cells. If you want to create a new Excel file, start by importing the library and creating a workbook object: As mentioned in the official documentation, openpyxl could be vulnerable to certain malicious attacks, but these can be guarded against. This package is designed to read and write Excel 2010 files with formats including. It’s possibly the most widely used package for working with Excel files in Python. The first Python package for Excel which we’ll discuss is openpyxl. 5 Libraries to Make Working with Excel in Python Easier 1. There are also template file formats, including. xlsm (a macro-enabled file format,) and the binary file format. Other formats have appeared to support more specific functionality. For later versions of Excel, the default file format became the Excel Workbook, which has the extension. Until 2007, Excel used a file format with the extension. But first, we need to clear one thing up: the many file formats in Excel. So, let’s talk about these Python packages that make working with Excel possible. Or to broaden your skills even further, we have a Working with Files and Directories in Python course, which will give you the ability to load data more efficiently and store or share the results. For some background reading, check out our article How to Read Excel Files in Python.
The Python libraries we’ll discuss can allow you to do everything from reading, writing, and modifying existing Excel files to creating new Excel files.
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