python openpyxl load workbook with header in specific row

In this tutorial, you will learn how to load an Excel workbook using the Python library openpyxl while specifying a particular row as the header row. This can be useful when your Excel sheet has multiple rows of metadata or title information before the actual data begins. We will provide step-by-step instructions along with code examples.
Before we start, make sure you have the openpyxl library installed. You can install it using pip:
In Python, you need to import the openpyxl library to work with Excel files. You also need the load_workbook function to open an existing Excel file.
To load an Excel workbook using openpyxl, you need to specify the file path. You can do this as follows:
Replace "your_excel_file.xlsx" with the actual path to your Excel file.
Now, let's access a specific worksheet within the workbook. We will use the active property to get the currently active worksheet. You can also use the get_sheet_by_name method if you know the sheet name.
If you want to access a specific worksheet by name, you can use the get_sheet_by_name method like this:
Assuming you have a header row that is not the first row in your worksheet, you can set the header row by specifying the row number. For example, if your header is in the third row:
Now, you can access the data in your worksheet. To read rows of data below the header row, you can use a for loop like this: