Example: Pandas Excel output with datetimes

An example of converting a Pandas dataframe with datetimes to an Excel file with a default datetime and date format using Pandas and XlsxWriter.

_images/pandas_datetime.png
##############################################################################
#
# An example of converting a Pandas dataframe with datetimes to an xlsx file
# with a default datetime and date format using Pandas and XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, jmcnamara@cpan.org
#

import pandas as pd
from datetime import datetime, date

# Create a Pandas dataframe from some datetime data.
df = pd.DataFrame({'Date and time': [datetime(2015, 1, 1, 11, 30, 55),
                                     datetime(2015, 1, 2, 1,  20, 33),
                                     datetime(2015, 1, 3, 11, 10    ),
                                     datetime(2015, 1, 4, 16, 45, 35),
                                     datetime(2015, 1, 5, 12, 10, 15)],
                   'Dates only':    [date(2015, 2, 1),
                                     date(2015, 2, 2),
                                     date(2015, 2, 3),
                                     date(2015, 2, 4),
                                     date(2015, 2, 5)],
                   })

# Create a Pandas Excel writer using XlsxWriter as the engine.
# Also set the default datetime and date formats.
writer = pd.ExcelWriter("pandas_datetime.xlsx",
                        engine='xlsxwriter',
                        datetime_format='mmm d yyyy hh:mm:ss',
                        date_format='mmmm dd yyyy')

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

# Get the xlsxwriter workbook and worksheet objects. in order to set the column
# widths, to make the dates clearer.
workbook  = writer.book
worksheet = writer.sheets['Sheet1']

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

# Set the column widths, to make the dates clearer.
worksheet.set_column(1, max_col, 20)

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