The correct answer is D. openpyxl.

openpyxl is a Python library that allows you to read, write, and manipulate Excel files. It is a popular choice for working with Excel data in Python because it is easy to use and has a wide range of features.

Matplotlib is a Python library for plotting data. It is not designed for working with Excel files.

Seaborn is a Python library for statistical visualization. It is not designed for working with Excel files.

Pandas is a Python library for data analysis. It can be used to read and write Excel files, but it does not have as many features for working with Excel data as openpyxl.

Here are some examples of how you can use openpyxl to work with Excel data:

• Read an Excel file into a Python DataFrame:
  “`
  import openpyxl

wb = openpyxl.load_workbook(‘my_excel_file.xlsx’)
sheet = wb.active

df = sheet.values
“`

• Write a Python DataFrame to an Excel file:
  “`
  import openpyxl

df = pd.DataFrame({‘A’: [1, 2, 3], ‘B’: [4, 5, 6]})

wb = openpyxl.Workbook()
sheet = wb.active

sheet.append(df)

wb.save(‘my_new_excel_file.xlsx’)
“`

• Manipulate Excel data:
  “`
  import openpyxl

wb = openpyxl.load_workbook(‘my_excel_file.xlsx’)
sheet = wb.active

Change the value in cell A1 to 100

sheet.cell(row=1, column=1).value = 100

Save the changes

wb.save(‘my_excel_file.xlsx’)
“`

openpyxl is a powerful tool for working with Excel data in Python. It is easy to use and has a wide range of features.