Like to_csv(), to_excel() writes the DataFrame's index as a column by default, and index=False is commonly used to omit it for the same reasons. Writing multiple DataFrames to different sheets of the same Excel file requires a separate ExcelWriter object used as a context manager, since calling to_excel() independently for each DataFrame would otherwise overwrite the same file each time rather than adding additional sheets to it.
1Understanding df.to_excel()
Like to_csv(), to_excel() writes the DataFrame's index as a column by default, and index=False is commonly used to omit it for the same reasons. Writing multiple DataFrames to different sheets of the same Excel file requires a separate ExcelWriter object used as a context manager, since calling to_excel() independently for each DataFrame would otherwise overwrite the same file each time rather than adding additional sheets to it.
To write several DataFrames into different sheets of one Excel file, use a pd.ExcelWriter as a context manager and call to_excel(writer, sheet_name=...) on each DataFrame inside it — calling to_excel() separately per DataFrame on the same path overwrites the file each time instead of accumulating sheets.
import pandas as pd
df = pd.DataFrame({"product": ["Widget", "Gadget"], "price": [9.99, 19.99]})
df.to_excel("catalog.xlsx", index=False, sheet_name="Products")2Practical Example
Here is a real-world application of df.to_excel() showing how it is used in production Pandas code.
import pandas as pd
with pd.ExcelWriter("report.xlsx") as writer:
q1_df.to_excel(writer, sheet_name="Q1", index=False)
q2_df.to_excel(writer, sheet_name="Q2", index=False)3Best Practices
Follow these guidelines when working with df.to_excel():
1. Use pd.ExcelWriter as a context manager when writing multiple DataFrames as separate sheets in one workbook, instead of calling to_excel() independently per DataFrame
2. Pass index=False when the index doesn't carry meaningful information worth including in the spreadsheet
3. Install the required optional engine, like openpyxl, ahead of time, the same dependency to_excel() shares with read_excel()
Tip: To write several DataFrames into different sheets of one Excel file, use a pd.ExcelWriter as a context manager and call to_excel(writer, sheet_name=...) on each DataFrame inside it — calling to_excel() separately per DataFrame on the same path overwrites the file each time instead of accumulating sheets.
import pandas as pd
df = pd.DataFrame({"product": ["Widget", "Gadget"], "price": [9.99, 19.99]})
df.to_excel("catalog.xlsx", index=False, sheet_name="Products")