Example: Pandas Excel output with conditional formatting

##############################################################################
#
# An example of converting a Pandas dataframe to an xlsx file with a
# conditional formatting using Pandas and XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, jmcnamara@cpan.org
#

import pandas as pd


# Create a Pandas dataframe from some data.
df = pd.DataFrame({'Data': [10, 20, 30, 20, 15, 30, 45]})

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

# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1')

# 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

# Apply a conditional format to the required cell range.
worksheet.conditional_format(1, max_col, max_row, max_col,
                             {'type': '3_color_scale'})

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