Web Reference: Jul 1, 2020 · When working with date columns in a dataset, you often need to extract just the month. This is simple using pandas.to_datetime () along with .dt.month or .dt.month_name (). One way of doing that is with the apply method in the dataframe but, to do that, you need a map to convert the months. You could either do that with a function / dictionary or with Python's own datetime. Conversely, you might need to convert month names back to numbers for calculations or consistency. This guide explains how to perform these conversions in a Pandas DataFrame column using Pandas' datetime capabilities and Python's built-in calendar module.
YouTube Excerpt: One of the most commonly tasks
Information Profile Overview
Python Python Pandas Convert Month - Latest Information & Updates 2026 Information & Biography
Details: $5M - $44M
Salary & Income Sources
Career Highlights & Achievements
Assets, Properties & Investments
This section covers known assets, real estate holdings, luxury vehicles, and investment portfolios. Data is compiled from public records, financial disclosures, and verified media reports.
Last Updated: April 7, 2026
Information Outlook & Future Earnings
Disclaimer: Disclaimer: Information provided here is based on publicly available data, media reports, and online sources. Actual details may vary.