The engine parameter in the to_excel() function is used to specify which underlying module is used by the Pandas library to create the Excel file. Each of these sheets contains names of employees and their salaries with respect to the date in the three different dataframes in our code.

You can see that the Excel file has three different sheets named Group1, Group2, and Group3. The only argument is the file path: df.to_excel( './states.xlsx') Now, we can use the to_excel() function to write the contents to a file. Similarly, the values become the rows containing the information. The keys in our dictionary will serve as column names. Now, let's use a dictionary to populate a DataFrame: df = pd.DataFrame() Using the built-in to_excel() function, we can extract this information into an Excel file.įirst, let's import the Pandas module: import pandas as pd

We'll be storing the information we'd like to write to an Excel file in a DataFrame. If this is the case, then you'll need to install the missing module(s): $ pip install openpyxl xlsxwriter xlrd Writing Excel Files Using Pandas For example: ModuleNotFoundError: No module named 'openpyxl'

Note that you may get a ModuleNotFoundError or ImportError error when running the code in this article.

Python read and write file