Sometimes, we want to save a new sheet in an existing Excel file using Pandas in Python.

In this article, we’ll look at how to save a new sheet in an existing Excel file using Pandas in Python.

How to save a new sheet in an existing Excel file using Pandas in Python?

To save a new sheet in an existing Excel file using Pandas in Python, we can use the pd.ExcelWriter class.

For instance, we write:

import pandas as pd
import numpy as np

path = "data.xlsx"

x1 = np.random.randn(100, 2)
df1 = pd.DataFrame(x1)

x2 = np.random.randn(100, 2)
df2 = pd.DataFrame(x2)

writer = pd.ExcelWriter(path, engine = 'xlsxwriter')
df1.to_excel(writer, sheet_name = 'x1')
df2.to_excel(writer, sheet_name = 'x2')
writer.save()
writer.close()

We create 2 data frames with pd.DataFrame.

Then we use the pd.ExcelWriter class with the path and engineto create thewriter` object to write the data to an Excel file.

We install Xlsxwriter by running:

pip install XlsxWriter

to use 'xlsxwriter' as the engine.

Next, we call “ on the data frames with writer and the sheet_name value to write the data frames into their own sheets.

Finally, we call writer.save to save the Excel file and writer.close to close the writer.

Now we should see the values in the data frames written into the spreadsheet file.

Conclusion

To save a new sheet in an existing Excel file using Pandas in Python, we can use the pd.ExcelWriter class.