The “A1” notation is easier for humans to read, plus this is what we need when using Excel formulas, like C10 = A1 * 2. Since Python index starts from 0 – (0, 0) refers to “A1”, and (1,1) actually refers to “B2”. We can use either “A1” or (row, column) notation to reference the cells in Excel. close() method is important! If we don’t include this line, our Excel file will not be saved. Note although there’s no tab named “Sheet2”, when we execute the 3rd add_worksheet() method, it creates a tab named “Sheet3”. We can specify sheet names by passing a string value into the method. Just like would you would expect Excel to behave. By default, if no argument is passed into add_worksheet(), the sheets will be named “Sheet1”, “Sheet2”, etc. The method add_worksheet() creates a new sheet/tab inside the Excel file. The Workbook() constructor will create an Excel file at the folder location specified by the argument. Wb = xlsxwriter.Workbook(r'C:\Users\JZ\Desktop\PythonInOffice\high_fidelity_excel\hf_excel.xlsx') Let’s start by setting up an Excel file, and the spreadsheets inside. pip install xlsxwriter Getting familiar with xlsxwriter It’s probably safe to say, if pandas rely on this library, then we are in good hands using it.Īs always, we’ll install the library. Xlsxwriter is also one of the Excel writer engines adopted by pandas. However, as the name suggests, it writes Excel files but doesn’t read existing files. It’s a powerful library for writing Excel files. The xlsxwriter library allows us to create such a high-fidelity Excel file. While that’s true, we only get a value-only Excel file, no formulas, no format, etc. You might be already familiar that the easier way to dump some data into an Excel file is using pandas library, pd.to_excel(). There is quite a lot to cover so this is part 1 of the series, we’ll use Python to create an Excel spreadsheet that contains formulas.
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