pandas_table.py

##############################################################################
#
# An example of adding a dataframe to an worksheet table in an xlsx file
# using Pandas and XlsxWriter.
#
# Tables in Excel are used to group rows and columns of data into a single
# structure that can be referenced in a formula or formatted collectively.
#
# SPDX-License-Identifier: BSD-2-Clause
#
# Copyright (c) 2013-2025, John McNamara, jmcnamara@cpan.org
#

import pandas as pd

# Create a Pandas dataframe from some data.
df = pd.DataFrame(
    {
        "Country": ["China", "India", "United States", "Indonesia"],
        "Population": [1404338840, 1366938189, 330267887, 269603400],
        "Rank": [1, 2, 3, 4],
    }
)

# Order the columns if necessary.
df = df[["Rank", "Country", "Population"]]

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

# Write the dataframe data to XlsxWriter. Turn off the default header and
# index and skip one row to allow us to insert a user defined header.
df.to_excel(writer, sheet_name="Sheet1", startrow=1, header=False, index=False)

# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets["Sheet1"]

# Get the dimensions of the dataframe.
(max_row, max_col) = df.shape

# Create a list of column headers, to use in add_table().
column_settings = [{"header": column} for column in df.columns]

# Add the Excel table structure. Pandas will add the data.
worksheet.add_table(0, 0, max_row, max_col - 1, {"columns": column_settings})

# Make the columns wider for clarity.
worksheet.set_column(0, max_col - 1, 12)

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