Example: Pandas Excel with multiple dataframes

An example of writing multiple dataframes to worksheets using Pandas and XlsxWriter.

_images/pandas_multiple.png
##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# Copyright 2013-2017, John McNamara, jmcnamara@cpan.org
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()