python - From password-protected Excel file to pandas DataFrame

Python - From password-protected Excel file to pandas DataFrame

To read data from a password-protected Excel file into a pandas DataFrame in Python, you can use the pandas library along with openpyxl or xlrd, depending on your Excel file format (.xlsx or .xls). Here's how you can do it:

Reading Password-Protected Excel File into Pandas DataFrame

Using openpyxl (for .xlsx files)

If your Excel file is in .xlsx format and password-protected, you can use openpyxl to handle the password protection and then read the data into pandas:

import pandas as pd from openpyxl import load_workbook # Path to your password-protected Excel file file_path = 'path/to/your/file.xlsx' # Load the Excel workbook with password wb = load_workbook(filename=file_path, read_only=True, password='your_password') # Select the active sheet or specify sheet by name sheet = wb.active # Load sheet data into pandas DataFrame df = pd.DataFrame(sheet.values) # Close the workbook wb.close() # Display or process the DataFrame print(df.head())

Using xlrd (for .xls files)

For .xls format (Excel 2003 and earlier), you can use xlrd to handle password-protected files and read data into pandas:

import pandas as pd import xlrd # Path to your password-protected Excel file file_path = 'path/to/your/file.xls' # Open the Excel workbook with password wb = xlrd.open_workbook(file_path, on_demand=True, password='your_password') # Select the active sheet or specify sheet by index or name sheet = wb.sheet_by_index(0) # Change index as needed # Load sheet data into pandas DataFrame df = pd.DataFrame([sheet.row_values(i) for i in range(sheet.nrows)]) # Close the workbook wb.release_resources() # Display or process the DataFrame print(df.head())

Notes:

  • Library Compatibility: openpyxl is compatible with .xlsx files (Excel 2007 and later), while xlrd is suitable for older .xls files (Excel 2003 and earlier).

  • Sheet Selection: Adjust the sheet selection method (active, by index, or by name) according to your Excel file structure and requirements.

  • Password Handling: Replace 'your_password' with the actual password protecting your Excel file.

  • DataFrame Conversion: The examples above convert the Excel sheet data directly into a pandas DataFrame using pd.DataFrame(). You may need to adjust column headers and data manipulation as per your specific data format and needs.

Examples

  1. Python pandas read password-protected Excel Description: Reading data from a password-protected Excel file into a pandas DataFrame using the openpyxl library.

    import pandas as pd # Install openpyxl if not installed # !pip install openpyxl # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='openpyxl', password='your_password')

  2. Python pandas read password-protected Excel file Description: Using xlrd library to read data from a password-protected Excel file into a pandas DataFrame.

    import pandas as pd # Install xlrd if not installed # !pip install xlrd # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='xlrd', password='your_password')

  3. Python pandas read Excel file with password Description: Reading an Excel file protected with a password into a pandas DataFrame using the xlrd library.

    import pandas as pd # Install xlrd if not installed # !pip install xlrd # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='xlrd', password='your_password')

  4. Python pandas read Excel file with password using openpyxl Description: Using openpyxl library to read data from a password-protected Excel file into a pandas DataFrame.

    import pandas as pd # Install openpyxl if not installed # !pip install openpyxl # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='openpyxl', password='your_password')

  5. Python read password-protected Excel pandas Description: Reading data from a password-protected Excel file into a pandas DataFrame using the xlrd library.

    import pandas as pd # Install xlrd if not installed # !pip install xlrd # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='xlrd', password='your_password')

  6. Python pandas read Excel password Description: Using openpyxl library to read data from a password-protected Excel file into a pandas DataFrame.

    import pandas as pd # Install openpyxl if not installed # !pip install openpyxl # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='openpyxl', password='your_password')

  7. Python pandas read Excel with password Description: Reading an Excel file protected with a password into a pandas DataFrame using the xlrd library.

    import pandas as pd # Install xlrd if not installed # !pip install xlrd # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='xlrd', password='your_password')

  8. Python pandas read password Excel Description: Using openpyxl library to read data from a password-protected Excel file into a pandas DataFrame.

    import pandas as pd # Install openpyxl if not installed # !pip install openpyxl # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='openpyxl', password='your_password')

  9. Python read Excel file with password pandas Description: Reading data from a password-protected Excel file into a pandas DataFrame using the xlrd library.

    import pandas as pd # Install xlrd if not installed # !pip install xlrd # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='xlrd', password='your_password')

  10. Python pandas read password-protected Excel file Description: Using openpyxl library to read data from a password-protected Excel file into a pandas DataFrame.

    import pandas as pd # Install openpyxl if not installed # !pip install openpyxl # Read password-protected Excel file file_path = 'path_to_your_excel_file.xlsx' df = pd.read_excel(file_path, sheet_name='Sheet1', engine='openpyxl', password='your_password')

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