Now, let’s look at examples of some of the different use-cases where the to_excel() function might be useful. 'Name': ['Microsoft Corporation', 'Google, LLC', 'Tesla, Inc.',\ Examplesįirst, we’ll create a sample dataframe that we’ll be using throughout this tutorial. Note that once the excel workbook is saved, you cannot write further data without rewriting the whole workbook. You can also write to multiple sheets in the same excel workbook as well (See the examples below). By default, the dataframe is written to Sheet1 but you can also give custom sheet names. Here, df is a pandas dataframe and is written to the excel file file_name.xlsx present at the location path. The following is its syntax: df.to_excel("path\file_name.xlsx") It’s like the to_csv() function but instead of a CSV, it writes the dataframe to a. The pandas DataFrame to_excel() function is used to save a pandas dataframe to an excel file. Note: The terms “excel file” and “excel workbook” are used interchangeably in this tutorial. In this tutorial, we’ll look at how to save a pandas dataframe to an excel. Excel files can be a great way of saving your tabular data particularly when you want to display it (and even perform some formatting to it) in a nice GUI like Microsoft Excel.
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