To convert a finished worksheet into an io.BytesIO object using Python, you can use the openpyxl library to work with Excel files and the io library to create the BytesIO object. Here's how you can do it:

  1. First, make sure you have the openpyxl library installed. If you don't have it, you can install it using pip:
bash
pip install openpyxl
  1. Next, create your Excel worksheet using openpyxl and save it to a temporary file.

  2. Finally, read the content of the temporary file and store it in an io.BytesIO object.

Here's an example of how you can achieve this:

python
import openpyxl import io def create_excel_workbook(): # Create a new workbook wb = openpyxl.Workbook() # Access the active worksheet ws = wb.active # Add data to the worksheet ws['A1'] = 'Name' ws['B1'] = 'Age' ws['A2'] = 'John' ws['B2'] = 30 ws['A3'] = 'Alice' ws['B3'] = 25 # Save the workbook to a temporary file with open('temp.xlsx', 'wb') as file: wb.save(file) def convert_worksheet_to_bytes_io(): # Create the Excel workbook first create_excel_workbook() # Read the content of the temporary file and store it in an io.BytesIO object with open('temp.xlsx', 'rb') as file: bytes_io = io.BytesIO(file.read()) # Clean up the temporary file (optional) import os os.remove('temp.xlsx') return bytes_io # Test the function worksheet_bytes_io = convert_worksheet_to_bytes_io() print(worksheet_bytes_io)

In this example, the create_excel_workbook function creates a simple Excel workbook with data, and then the convert_worksheet_to_bytes_io function reads the content of the temporary file and stores it in an io.BytesIO object.

Remember to adjust the data and formatting according to your specific requirements in the create_excel_workbook function.

Note that io.BytesIO is a stream buffer that behaves like a file, but it is kept in memory. You can use the worksheet_bytes_io object as needed, for example, to send the Excel data as an HTTP response or to interact with other libraries that accept file-like objects.

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